diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index a68a6746..00000000
--- a/.gitignore
+++ /dev/null
@@ -1,20 +0,0 @@
-# GENERAL
-.idea/
-__pycache__/
-.vscode/
-*.py~
-
-# CONFIG FILES
-.env
-twitter_config.json
-
-# AGENTS
-agents/*.json
-
-# Include example agent and general config
-!agents/example.json
-!agents/general.json
-
-# macOS
-.DS_Store
-.codegpt
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 44e741a8..4136db4b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -231,15 +231,32 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "asgiref"
+version = "3.8.1"
+description = "ASGI specs, helper code, and adapters"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "async-timeout"
-version = "5.0.1"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
-    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
 [[package]]
@@ -274,6 +291,17 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
 [[package]]
 name = "base58"
 version = "2.1.1"
@@ -313,6 +341,44 @@ files = [
     {file = "based58-0.1.1.tar.gz", hash = "sha256:80804b346b34196c89dc7a3dc89b6021f910f4cd75aac41d433ca1880b1672dc"},
 ]
 
+[[package]]
+name = "bcrypt"
+version = "4.2.1"
+description = "Modern password hashing for your software and your servers"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "bcrypt-4.2.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:1340411a0894b7d3ef562fb233e4b6ed58add185228650942bdc885362f32c17"},
+    {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ee315739bc8387aa36ff127afc99120ee452924e0df517a8f3e4c0187a0f5f"},
+    {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8dbd0747208912b1e4ce730c6725cb56c07ac734b3629b60d4398f082ea718ad"},
+    {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:aaa2e285be097050dba798d537b6efd9b698aa88eef52ec98d23dcd6d7cf6fea"},
+    {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:76d3e352b32f4eeb34703370e370997065d28a561e4a18afe4fef07249cb4396"},
+    {file = "bcrypt-4.2.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:b7703ede632dc945ed1172d6f24e9f30f27b1b1a067f32f68bf169c5f08d0425"},
+    {file = "bcrypt-4.2.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:89df2aea2c43be1e1fa066df5f86c8ce822ab70a30e4c210968669565c0f4685"},
+    {file = "bcrypt-4.2.1-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:04e56e3fe8308a88b77e0afd20bec516f74aecf391cdd6e374f15cbed32783d6"},
+    {file = "bcrypt-4.2.1-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:cfdf3d7530c790432046c40cda41dfee8c83e29482e6a604f8930b9930e94139"},
+    {file = "bcrypt-4.2.1-cp37-abi3-win32.whl", hash = "sha256:adadd36274510a01f33e6dc08f5824b97c9580583bd4487c564fc4617b328005"},
+    {file = "bcrypt-4.2.1-cp37-abi3-win_amd64.whl", hash = "sha256:8c458cd103e6c5d1d85cf600e546a639f234964d0228909d8f8dbeebff82d526"},
+    {file = "bcrypt-4.2.1-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:8ad2f4528cbf0febe80e5a3a57d7a74e6635e41af1ea5675282a33d769fba413"},
+    {file = "bcrypt-4.2.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:909faa1027900f2252a9ca5dfebd25fc0ef1417943824783d1c8418dd7d6df4a"},
+    {file = "bcrypt-4.2.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cde78d385d5e93ece5479a0a87f73cd6fa26b171c786a884f955e165032b262c"},
+    {file = "bcrypt-4.2.1-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:533e7f3bcf2f07caee7ad98124fab7499cb3333ba2274f7a36cf1daee7409d99"},
+    {file = "bcrypt-4.2.1-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:687cf30e6681eeda39548a93ce9bfbb300e48b4d445a43db4298d2474d2a1e54"},
+    {file = "bcrypt-4.2.1-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:041fa0155c9004eb98a232d54da05c0b41d4b8e66b6fc3cb71b4b3f6144ba837"},
+    {file = "bcrypt-4.2.1-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f85b1ffa09240c89aa2e1ae9f3b1c687104f7b2b9d2098da4e923f1b7082d331"},
+    {file = "bcrypt-4.2.1-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c6f5fa3775966cca251848d4d5393ab016b3afed251163c1436fefdec3b02c84"},
+    {file = "bcrypt-4.2.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:807261df60a8b1ccd13e6599c779014a362ae4e795f5c59747f60208daddd96d"},
+    {file = "bcrypt-4.2.1-cp39-abi3-win32.whl", hash = "sha256:b588af02b89d9fad33e5f98f7838bf590d6d692df7153647724a7f20c186f6bf"},
+    {file = "bcrypt-4.2.1-cp39-abi3-win_amd64.whl", hash = "sha256:e84e0e6f8e40a242b11bce56c313edc2be121cec3e0ec2d76fce01f6af33c07c"},
+    {file = "bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76132c176a6d9953cdc83c296aeaed65e1a708485fd55abf163e0d9f8f16ce0e"},
+    {file = "bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e158009a54c4c8bc91d5e0da80920d048f918c61a581f0a63e4e93bb556d362f"},
+    {file = "bcrypt-4.2.1.tar.gz", hash = "sha256:6765386e3ab87f569b276988742039baab087b2cdb01e809d74e74503c2faafe"},
+]
+
+[package.extras]
+tests = ["pytest (>=3.2.1,!=3.3.0)"]
+typecheck = ["mypy"]
+
 [[package]]
 name = "bitarray"
 version = "3.0.0"
@@ -474,6 +540,42 @@ files = [
 construct-typing = ">=0.5.1,<0.6.0"
 sumtypes = ">=0.1a5,<0.2"
 
+[[package]]
+name = "build"
+version = "1.2.2.post1"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
+    {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
+typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.0.35)"]
+
+[[package]]
+name = "cachetools"
+version = "5.5.1"
+description = "Extensible memoizing collections and decorators"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"},
+    {file = "cachetools-5.5.1.tar.gz", hash = "sha256:70f238fbba50383ef62e55c6aff6d9673175fe59f7c6782c7a0b9e38f4a9df95"},
+]
+
 [[package]]
 name = "canonicaljson"
 version = "2.0.0"
@@ -597,6 +699,88 @@ files = [
     {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"},
 ]
 
+[[package]]
+name = "chroma-hnswlib"
+version = "0.7.6"
+description = "Chromas fork of hnswlib"
+optional = false
+python-versions = "*"
+files = [
+    {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f35192fbbeadc8c0633f0a69c3d3e9f1a4eab3a46b65458bbcbcabdd9e895c36"},
+    {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f007b608c96362b8f0c8b6b2ac94f67f83fcbabd857c378ae82007ec92f4d82"},
+    {file = "chroma_hnswlib-0.7.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:456fd88fa0d14e6b385358515aef69fc89b3c2191706fd9aee62087b62aad09c"},
+    {file = "chroma_hnswlib-0.7.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5dfaae825499c2beaa3b75a12d7ec713b64226df72a5c4097203e3ed532680da"},
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+]
+
+[package.dependencies]
+numpy = "*"
+
+[[package]]
+name = "chromadb"
+version = "0.6.3"
+description = "Chroma."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "chromadb-0.6.3-py3-none-any.whl", hash = "sha256:4851258489a3612b558488d98d09ae0fe0a28d5cad6bd1ba64b96fdc419dc0e5"},
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+
+[package.dependencies]
+bcrypt = ">=4.0.1"
+build = ">=1.0.3"
+chroma-hnswlib = "0.7.6"
+fastapi = ">=0.95.2"
+grpcio = ">=1.58.0"
+httpx = ">=0.27.0"
+importlib-resources = "*"
+kubernetes = ">=28.1.0"
+mmh3 = ">=4.0.1"
+numpy = ">=1.22.5"
+onnxruntime = ">=1.14.1"
+opentelemetry-api = ">=1.2.0"
+opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
+opentelemetry-instrumentation-fastapi = ">=0.41b0"
+opentelemetry-sdk = ">=1.2.0"
+orjson = ">=3.9.12"
+overrides = ">=7.3.1"
+posthog = ">=2.4.0"
+pydantic = ">=1.9"
+pypika = ">=0.48.9"
+PyYAML = ">=6.0.0"
+rich = ">=10.11.0"
+tenacity = ">=8.2.3"
+tokenizers = ">=0.13.2"
+tqdm = ">=4.65.0"
+typer = ">=0.9.0"
+typing_extensions = ">=4.5.0"
+uvicorn = {version = ">=0.18.3", extras = ["standard"]}
+
 [[package]]
 name = "ckzg"
 version = "1.0.2"
@@ -691,6 +875,20 @@ files = [
     {file = "ckzg-1.0.2.tar.gz", hash = "sha256:4295acc380f8d42ebea4a4a0a68c424a322bb335a33bad05c72ead8cbb28d118"},
 ]
 
+[[package]]
+name = "click"
+version = "8.1.8"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
+    {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -702,6 +900,23 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+description = "Colored terminal output for Python's logging module"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
+    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
+]
+
+[package.dependencies]
+humanfriendly = ">=9.1"
+
+[package.extras]
+cron = ["capturer (>=2.4)"]
+
 [[package]]
 name = "construct"
 version = "2.10.68"
@@ -844,6 +1059,23 @@ toolz = ">=0.8.0"
 [package.extras]
 cython = ["cython"]
 
+[[package]]
+name = "deprecated"
+version = "1.2.16"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+files = [
+    {file = "Deprecated-1.2.16-py2.py3-none-any.whl", hash = "sha256:4c8e429ada6573698ba723f9c4ea53006e990042a45db938e412f1f9d4b9ffd9"},
+    {file = "deprecated-1.2.16.tar.gz", hash = "sha256:6ec624c168290715d56c6af7c1c1066ea5c732bd56427b1651db75ede923aa38"},
+]
+
+[package.dependencies]
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -855,6 +1087,17 @@ files = [
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "durationpy"
+version = "0.9"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = false
+python-versions = "*"
+files = [
+    {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
+    {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
+]
+
 [[package]]
 name = "eth-abi"
 version = "5.0.1"
@@ -948,13 +1191,13 @@ test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
 name = "eth-keys"
-version = "0.6.0"
+version = "0.6.1"
 description = "eth-keys: Common API for Ethereum key operations"
 optional = false
 python-versions = "<4,>=3.8"
 files = [
-    {file = "eth_keys-0.6.0-py3-none-any.whl", hash = "sha256:b396fdfe048a5bba3ef3990739aec64901eb99901c03921caa774be668b1db6e"},
-    {file = "eth_keys-0.6.0.tar.gz", hash = "sha256:ba33230f851d02c894e83989185b21d76152c49b37e35b61b1d8a6d9f1d20430"},
+    {file = "eth_keys-0.6.1-py3-none-any.whl", hash = "sha256:7deae4cd56e862e099ec58b78176232b931c4ea5ecded2f50c7b1ccbc10c24cf"},
+    {file = "eth_keys-0.6.1.tar.gz", hash = "sha256:a43e263cbcabfd62fa769168efc6c27b1f5603040e4de22bb84d12567e4fd962"},
 ]
 
 [package.dependencies]
@@ -963,8 +1206,8 @@ eth-utils = ">=2"
 
 [package.extras]
 coincurve = ["coincurve (>=12.0.0)"]
-dev = ["asn1tools (>=0.146.2)", "build (>=0.9.0)", "bumpversion (>=0.5.3)", "coincurve (>=12.0.0)", "eth-hash[pysha3]", "factory-boy (>=3.0.1)", "hypothesis (>=5.10.3)", "ipython", "pre-commit (>=3.4.0)", "pyasn1 (>=0.4.5)", "pytest (>=7.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "wheel"]
-docs = ["towncrier (>=21,<22)"]
+dev = ["asn1tools (>=0.146.2)", "build (>=0.9.0)", "bump_my_version (>=0.19.0)", "coincurve (>=12.0.0)", "eth-hash[pysha3]", "factory-boy (>=3.0.1)", "hypothesis (>=5.10.3)", "ipython", "mypy (==1.10.0)", "pre-commit (>=3.4.0)", "pyasn1 (>=0.4.5)", "pytest (>=7.0.0)", "towncrier (>=24,<25)", "tox (>=4.0.0)", "twine", "wheel"]
+docs = ["towncrier (>=24,<25)"]
 test = ["asn1tools (>=0.146.2)", "eth-hash[pysha3]", "factory-boy (>=3.0.1)", "hypothesis (>=5.10.3)", "pyasn1 (>=0.4.5)", "pytest (>=7.0.0)"]
 
 [[package]]
@@ -1081,6 +1324,53 @@ pyhumps = ">=3.7.2,<4.0.0"
 python-dotenv = ">=0.21,<1.1"
 requests = ">=2.28.1,<3.0.0"
 
+[[package]]
+name = "fastapi"
+version = "0.115.7"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi-0.115.7-py3-none-any.whl", hash = "sha256:eb6a8c8bf7f26009e8147111ff15b5177a0e19bb4a45bc3486ab14804539d21e"},
+    {file = "fastapi-0.115.7.tar.gz", hash = "sha256:0f106da6c01d88a6786b3248fb4d7a940d071f6f488488898ad5d354b25ed015"},
+]
+
+[package.dependencies]
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
+starlette = ">=0.40.0,<0.46.0"
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+
+[[package]]
+name = "filelock"
+version = "3.17.0"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"},
+    {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"},
+]
+
+[package.extras]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
+typing = ["typing-extensions (>=4.12.2)"]
+
+[[package]]
+name = "flatbuffers"
+version = "25.1.21"
+description = "The FlatBuffers serialization format for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "flatbuffers-25.1.21-py2.py3-none-any.whl", hash = "sha256:0e9736098ba8f4e48246a0640390f4992c0b1a734e7322a9463d5c3eea00558b"},
+    {file = "flatbuffers-25.1.21.tar.gz", hash = "sha256:e24a34dcd9fb4e0ea8cc0fc8ef9c5cd61c9d21527a6d536967587a37a4ff9676"},
+]
+
 [[package]]
 name = "frozenlist"
 version = "1.5.0"
@@ -1182,20 +1472,60 @@ files = [
     {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2024.12.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
+    {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "goat-sdk"
-version = "0.1.1"
+version = "0.1.3"
 description = "Goat 🐐 (Great Onchain Agent Toolkit) is an open-source framework for connecting AI agents to any onchain app"
 optional = false
 python-versions = "<4.0,>=3.10"
 files = [
-    {file = "goat_sdk-0.1.1-py3-none-any.whl", hash = "sha256:e8489b737ecb8b4090b704cfd3bdbd334b0bdc9117124aae97773e5ced2dcc5d"},
-    {file = "goat_sdk-0.1.1.tar.gz", hash = "sha256:c19184a8fc8001076098ba608f99a2301161752e4c57fbac4f2d587862edfd86"},
+    {file = "goat_sdk-0.1.3-py3-none-any.whl", hash = "sha256:6d0a0b7eb49b35ef4fd1b020eded26879e0a126a4874e21b46058f00698b97f0"},
+    {file = "goat_sdk-0.1.3.tar.gz", hash = "sha256:5f852a4409de413e15ee69704fe8baf335eefc704c7797f4830b2d0e5ae9f1cd"},
 ]
 
 [package.dependencies]
 asyncio = ">=3.4.1,<4.0.0"
 pydantic = ">=2.10.0,<3.0.0"
+typing-extensions = ">=4.12.2,<5.0.0"
 
 [[package]]
 name = "goat-sdk-plugin-coingecko"
@@ -1229,18 +1559,19 @@ goat-sdk-wallet-evm = ">=0.1.0,<0.2.0"
 
 [[package]]
 name = "goat-sdk-wallet-evm"
-version = "0.1.0"
+version = "0.1.1"
 description = "Goat SDK EVM wallet implementation"
 optional = false
 python-versions = "<4.0,>=3.10"
 files = [
-    {file = "goat_sdk_wallet_evm-0.1.0-py3-none-any.whl", hash = "sha256:620dabfac380d3f678cb9466f286de766f5aefe62d49c82ee50e4528e2a59c5e"},
-    {file = "goat_sdk_wallet_evm-0.1.0.tar.gz", hash = "sha256:96454dd9fb39e28740ea12ce53506618ec511bb0a3a31ec4b1908b373118c891"},
+    {file = "goat_sdk_wallet_evm-0.1.1-py3-none-any.whl", hash = "sha256:41143367fca696e5fdd6d6b09639a691eb8f4ebebef4248531c012f3497ab1ee"},
+    {file = "goat_sdk_wallet_evm-0.1.1.tar.gz", hash = "sha256:55840ebb625a34aa4b300d52e197e4e739c33a6630952bb00cea1d27ff28c16b"},
 ]
 
 [package.dependencies]
 evmchains = ">=0.1.3,<0.2.0"
 goat-sdk = ">=0.1.0,<0.2.0"
+typing-extensions = ">=4.12.2,<5.0.0"
 
 [[package]]
 name = "goat-sdk-wallet-web3"
@@ -1258,6 +1589,114 @@ goat-sdk = ">=0.1.0,<0.2.0"
 goat-sdk-wallet-evm = ">=0.1.0,<0.2.0"
 web3 = ">=6.20.3,<7.0.0"
 
+[[package]]
+name = "google-auth"
+version = "2.38.0"
+description = "Google Authentication Library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"},
+    {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"},
+]
+
+[package.dependencies]
+cachetools = ">=2.0.0,<6.0"
+pyasn1-modules = ">=0.2.1"
+rsa = ">=3.1.4,<5"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+
+[[package]]
+name = "googleapis-common-protos"
+version = "1.66.0"
+description = "Common protobufs used in Google APIs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "googleapis_common_protos-1.66.0-py2.py3-none-any.whl", hash = "sha256:d7abcd75fabb2e0ec9f74466401f6c119a0b498e27370e9be4c94cb7e382b8ed"},
+    {file = "googleapis_common_protos-1.66.0.tar.gz", hash = "sha256:c3e7b33d15fdca5374cc0a7346dd92ffa847425cc4ea941d970f13680052ec8c"},
+]
+
+[package.dependencies]
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
+[[package]]
+name = "grpcio"
+version = "1.70.0"
+description = "HTTP/2-based RPC framework"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"},
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+    {file = "grpcio-1.70.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce7df14b2dcd1102a2ec32f621cc9fab6695effef516efbc6b063ad749867295"},
+    {file = "grpcio-1.70.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c78b339869f4dbf89881e0b6fbf376313e4f845a42840a7bdf42ee6caed4b11f"},
+    {file = "grpcio-1.70.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:58ad9ba575b39edef71f4798fdb5c7b6d02ad36d47949cd381d4392a5c9cbcd3"},
+    {file = "grpcio-1.70.0-cp310-cp310-win32.whl", hash = "sha256:2b0d02e4b25a5c1f9b6c7745d4fa06efc9fd6a611af0fb38d3ba956786b95199"},
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 trio = ["trio (>=0.22.0,<1.0)"]
 
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 zstd = ["zstandard (>=0.18.0)"]
 
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 version = "3.10"
@@ -1345,6 +1887,48 @@ files = [
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 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
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 [[package]]
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 version = "0.8.2"
@@ -1494,6 +2078,33 @@ httpx = "*"
 solana = "*"
 solders = "*"
 
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 [[package]]
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 version = "1.2.0"
@@ -1588,6 +2199,165 @@ files = [
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 test = ["pytest"]
 
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+description = "A decorator to automatically detect mismatch when overriding a method."
+optional = false
+python-versions = ">=3.6"
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 [[package]]
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 version = "0.9.0"
@@ -1741,15 +2901,39 @@ files = [
 [package.dependencies]
 regex = ">=2022.3.15"
 
+[[package]]
+name = "posthog"
+version = "3.9.3"
+description = "Integrate PostHog into any python application."
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+python-versions = "*"
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+requests = ">=2.7,<3.0"
+six = ">=1.5"
+
+[package.extras]
+dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
+langchain = ["langchain (>=0.2.0)"]
+sentry = ["django", "sentry-sdk"]
+test = ["anthropic", "coverage", "django", "flake8", "freezegun (==0.3.15)", "langchain-anthropic (>=0.2.0)", "langchain-community (>=0.2.0)", "langchain-openai (>=0.2.0)", "langgraph", "mock (>=2.0.0)", "openai", "pylint", "pytest", "pytest-asyncio", "pytest-timeout"]
+
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.48"
+version = "3.0.50"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
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 [package.dependencies]
@@ -1866,6 +3050,31 @@ files = [
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+[[package]]
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+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = false
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+description = "A collection of ASN.1-based protocols modules"
+optional = false
+python-versions = ">=3.8"
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+
+[package.dependencies]
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+
 [[package]]
 name = "pycryptodome"
 version = "3.21.0"
@@ -1909,13 +3118,13 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.10.5"
+version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2039,6 +3248,20 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pygments"
+version = "2.19.1"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "pyheck"
 version = "0.1.5"
@@ -2075,6 +3298,77 @@ files = [
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 ]
 
+[[package]]
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+version = "5.1.0"
+description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+typing_extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+crypto = ["cryptography"]
+cryptodome = ["PyCryptodome"]
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+full = ["Pillow (>=8.0.0)", "cryptography"]
+image = ["Pillow (>=8.0.0)"]
+
+[[package]]
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+
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+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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+[package.dependencies]
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 version = "1.0.1"
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+]
+
 [[package]]
 name = "referencing"
-version = "0.35.1"
+version = "0.36.1"
 description = "JSON Referencing + Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 attrs = ">=22.2.0"
 rpds-py = ">=0.7.0"
+typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "regex"
@@ -2266,6 +3623,43 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-oauthlib"
+version = "2.0.0"
+description = "OAuthlib authentication support for Requests."
+optional = false
+python-versions = ">=3.4"
+files = [
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+]
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
+[[package]]
+name = "rich"
+version = "13.9.4"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+    {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
+]
+
+[package.dependencies]
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+pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "rlp"
 version = "4.0.1"
@@ -2398,6 +3792,42 @@ files = [
     {file = "rpds_py-0.22.3.tar.gz", hash = "sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d"},
 ]
 
+[[package]]
+name = "rsa"
+version = "4.9"
+description = "Pure-Python RSA implementation"
+optional = false
+python-versions = ">=3.6,<4"
+files = [
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+    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[[package]]
+name = "six"
+version = "1.17.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
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+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -2449,6 +3879,23 @@ files = [
 jsonalias = "0.1.1"
 typing-extensions = ">=4.2.0"
 
+[[package]]
+name = "starlette"
+version = "0.45.3"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.9"
+files = [
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+    {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"},
+]
+
+[package.dependencies]
+anyio = ">=3.6.2,<5"
+
+[package.extras]
+full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
+
 [[package]]
 name = "sumtypes"
 version = "0.1a6"
@@ -2463,6 +3910,70 @@ files = [
 [package.dependencies]
 attrs = "*"
 
+[[package]]
+name = "sympy"
+version = "1.13.3"
+description = "Computer algebra system (CAS) in Python"
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 version = "0.11.2"
@@ -2506,6 +4058,23 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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+
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 version = "4.12.2"
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 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
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+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
 [[package]]
 name = "websockets"
 version = "10.4"
@@ -2658,6 +4403,94 @@ files = [
     {file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"},
 ]
 
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+optional = false
+python-versions = ">=3.8"
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+    {file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"},
+    {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.18.3"
@@ -2754,7 +4587,26 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.0"
 
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "e3b083080cb33cd0daf4f280fde755bd4fca9377db60d65fc0c261798e59523f"
+content-hash = "8672a3ffd7b1e0e95c446e6705f1bafd4fac8a237e1971ecb24a4ac72975030c"
diff --git a/pyproject.toml b/pyproject.toml
index c3ccb6af..a94b8e03 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,8 @@ solana = "^0.35.0"
 aiohttp = "^3.11.11"
 requests = "2.32.3"
 jupiter-python-sdk = "^0.0.2.0"
-
+chromadb = "^0.6.3"
+pypdf = "^5.1.0"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/src/agent.py b/src/agent.py
index 8d36519d..3ac92257 100644
--- a/src/agent.py
+++ b/src/agent.py
@@ -6,6 +6,7 @@
 from pathlib import Path
 from dotenv import load_dotenv
 from src.connection_manager import ConnectionManager
+from src.memory.manager import MemoryManager
 from src.helpers import print_h_bar
 from src.action_handler import execute_action
 import src.actions.twitter_actions  
@@ -29,6 +30,9 @@ def __init__(
             missing_fields = [field for field in REQUIRED_FIELDS if field not in agent_dict]
             if missing_fields:
                 raise KeyError(f"Missing required fields: {', '.join(missing_fields)}")
+            
+            # Initialize memory manager
+            self.memory = MemoryManager(agent_name=agent_name)
 
             self.name = agent_dict["name"]
             self.bio = agent_dict["bio"]
@@ -109,7 +113,7 @@ def _construct_system_prompt(self) -> str:
                         )
                         if tweets:
                             prompt_parts.extend(f"- {tweet['text']}" for tweet in tweets)
-
+            
             self._system_prompt = "\n".join(prompt_parts)
 
         return self._system_prompt
diff --git a/src/cli.py b/src/cli.py
index ba2430f1..6513528c 100644
--- a/src/cli.py
+++ b/src/cli.py
@@ -152,6 +152,56 @@ def _initialize_commands(self) -> None:
                 aliases=['talk']
             )
         )
+
+        # Memory commands
+        self._register_command(
+            Command(
+                name="memory-upload",
+                description="Upload one or more documents to the agent's memory",
+                tips=["Format: memory-upload {category} file1 [file2 file3 ...]",
+                    "All files will be stored in the same category",
+                    "You can use wildcards like notes/*.txt to upload all text files in the notes folder"],
+                handler=self.memory_upload,
+                aliases=['upload-memory']
+            )
+        )
+
+        self._register_command(
+            Command(
+                name="memory-list",
+                description="List memory categories or documents within a category",
+                tips=["Format: memory-list [category]",
+                    "Without category: shows all categories and their sizes",
+                    "With category: shows documents in that category"],
+                handler=self.memory_list,
+                aliases=['list-memories']
+            )
+        )
+
+        self._register_command(
+            Command(
+                name="memory-search",
+                description="Search all memories or within a specific category",
+                tips=["Format: memory-search 'search terms' [category]",
+                    "Example: memory-search 'blockchain basics'",
+                    "Example: memory-search 'smart contracts' solana"],
+                handler=self.memory_search,
+                aliases=['search-memory']
+            )
+        )
+
+        self._register_command(
+            Command(
+                name="memory-wipe",
+                description="Delete memories at different levels (all, category, or document)",
+                tips=["Format: memory-wipe [category] [filename]",
+                    "Without arguments: wipes all memories",
+                    "With category: wipes entire category",
+                    "With category and filename: wipes specific document"],
+                handler=self.memory_wipe,
+                aliases=['wipe-memory']
+            )
+        )
         
         ################## CONNECTIONS ################## 
         # List actions command
@@ -526,13 +576,205 @@ def chat_session(self, input_list: List[str]) -> None:
                 if user_input.lower() == 'exit':
                     break
                 
-                response = self.agent.prompt_llm(user_input)
+                memory_context = ""
+                # Only search memories for meaningful queries longer than 3 words
+                if len(user_input.split()) > 3:
+                    logger.info("\n🔍 Searching memories...")
+                    memory_context, results = self.agent.memory.get_relevant_context(user_input)
+
+                    if results:
+                        logger.info("Found relevant memories:")
+                        for i, result in enumerate(results, 1):
+                            logger.info(f"\nMemory {i} (similarity: {result.similarity_score:.2f}):")
+                            logger.info(f"Source: {result.memory.metadata.get('source', 'Unknown')}")
+                            logger.info(f"Preview: {result.memory.content[:200]}...")
+                            memory_context += f"From {result.memory.metadata.get('source', 'reference')}:\n{result.memory.content}\n\n"
+                        logger.info("\nUsing these memories for context...")
+
+                enriched_prompt = (
+                    f"{user_input}\n\n"
+                    f"{'Knowledge to draw from:\n' + memory_context if memory_context else ''}"
+                    f"Use your personality and style to respond, incorporating any relevant knowledge naturally."
+                )
+                
+                response = self.agent.prompt_llm(enriched_prompt)
                 logger.info(f"\n{self.agent.name}: {response}")
                 print_h_bar()
-                
+                    
             except KeyboardInterrupt:
                 break
 
+    def memory_upload(self, input_list: List[str]) -> None:
+        """Handle document upload to memory"""
+        if not self.agent:
+            logger.info("No agent loaded. Use 'load-agent' first.")
+            return
+                
+        if len(input_list) < 3:
+            logger.info("Please specify a category and at least one file.")
+            logger.info("Format: memory-upload {category} file1 [file2 file3 ...]")
+            return
+                
+        category = input_list[1]
+        filepaths = input_list[2:]
+        
+        # Expand wildcards
+        import glob
+        expanded_paths = []
+        for filepath in filepaths:
+            expanded = glob.glob(filepath)
+            if expanded:
+                expanded_paths.extend(expanded)
+            else:
+                expanded_paths.append(filepath)
+        
+        if not expanded_paths:
+            logger.info("No matching files found.")
+            return
+        
+        stats = self.agent.memory.upload_documents(expanded_paths, category)
+        
+        logger.info("\nUpload Summary:")
+        logger.info(f"Total files attempted: {stats['total_attempted']}")
+        logger.info(f"Successfully processed: {stats['successful']}")
+        logger.info(f"Failed: {stats['failed']}")
+        logger.info(f"Total chunks created: {stats['total_chunks']}")
+
+    def memory_list(self, input_list: List[str]) -> None:
+        """List memory categories or documents in a category"""
+        if not self.agent:
+            logger.info("No agent loaded. Use 'load-agent' first.")
+            return
+        
+        # If no category specified, list all categories
+        if len(input_list) < 2:
+            categories = self.agent.memory.list_categories()
+            if not categories:
+                logger.info("No memory categories found.")
+                return
+                
+            print_h_bar()
+            for category in sorted(categories):
+                stats = self.agent.memory.get_category_stats(category)
+                logger.info(f"\nCategory: {category}")
+                logger.info(f"Documents: {stats['document_count']}")
+                logger.info(f"Total chunks: {stats['total_chunks']}")
+            print_h_bar()
+            return
+
+        # Get stats for specified category
+        category = input_list[1]
+        try:
+            stats = self.agent.memory.get_category_stats(category)
+            
+            logger.info(f"\nDocuments in category '{category}':")
+            print_h_bar()
+            
+            for doc in stats["documents"]:
+                logger.info(f"\nFile: {doc['filename']}")
+                logger.info(f"Chunks: {doc['chunk_count']}")
+                logger.info(f"Total size: {doc['total_size']:,} characters")
+                logger.info(f"Upload date: {doc['upload_date']}")
+                
+            print_h_bar()
+            
+        except Exception as e:
+            logger.error(f"Error listing memories: {e}")
+
+    def memory_search(self, input_list: List[str]) -> None:
+        """Search memories across all or specific categories"""
+        if not self.agent:
+            logger.info("No agent loaded. Use 'load-agent' first.")
+            return
+                    
+        if len(input_list) < 2:
+            logger.info("Please specify a search query.")
+            logger.info("Format: memory-search 'search terms' [category]")
+            return
+
+        # Check if final argument is a valid category
+        potential_category = input_list[-1]
+        available_categories = self.agent.memory.list_categories()
+        category = potential_category if potential_category in available_categories else None
+        
+        # Get query
+        query_parts = input_list[1:-1] if category else input_list[1:]
+        query = ' '.join(query_parts).strip("'\"")
+        
+        results = self.agent.memory.search(query=query, category=category)
+        
+        if not results:
+            if category:
+                logger.info(f"No results found in category '{category}' for '{query}'")
+            else:
+                logger.info(f"No results found for '{query}'")
+            return
+        
+        logger.info(f"\nSearch results for '{query}':")
+        print_h_bar()
+        
+        for i, result in enumerate(results, 1):
+            memory = result.memory
+            similarity = result.similarity_score
+            
+            logger.info(f"\n{i}. Similarity: {similarity:.2f}")
+            logger.info(f"Category: {memory.category}")
+            logger.info(f"From: {memory.metadata.get('original_filename', 'Unknown source')}")
+            logger.info(f"Content: {memory.content[:200]}...")
+        
+        print_h_bar()
+
+    def memory_wipe(self, input_list: List[str]) -> None:
+        """Wipe memories at different levels"""
+        if not self.agent:
+            logger.info("No agent loaded. Use 'load-agent' first.")
+            return
+
+        # Wipe all memories
+        if len(input_list) == 1:
+            categories = self.agent.memory.list_categories()
+            if not categories:
+                logger.info("No memories to wipe.")
+                return
+                
+            logger.info("\n⚠️  WARNING: This will delete ALL memories for this agent!")
+            logger.info(f"Categories to be wiped: {', '.join(categories)}")
+            
+            if self.session.prompt("\nType 'yes' to confirm: ").strip().lower() != 'yes':
+                logger.info("Operation cancelled.")
+                return
+                
+            if self.agent.memory.wipe_all_memories():
+                logger.info("✅ All memories wiped successfully.")
+            return
+
+        # Wipe one specific category
+        category = input_list[1]
+        if len(input_list) == 2:
+            if category not in self.agent.memory.list_categories():
+                logger.info(f"Category '{category}' not found.")
+                return
+                
+            logger.info(f"\n⚠️  WARNING: This will delete category '{category}'")
+            
+            if self.session.prompt("\nType 'yes' to confirm: ").strip().lower() != 'yes':
+                logger.info("Operation cancelled.")
+                return
+                
+            result = self.agent.memory.wipe_category(category)
+            if result["success"]:
+                logger.info(f"✅ Category '{category}' wiped successfully")
+            return
+
+        # Wipe one specific document
+        filename = input_list[2]
+        chunks_deleted = self.agent.memory.wipe_document(category, filename)
+        
+        if chunks_deleted == 0:
+            logger.info(f"No document found matching '{filename}' in category '{category}'")
+        else:
+            logger.info(f"✅ Document '{filename}' wiped successfully ({chunks_deleted} chunks deleted)")
+
     def exit(self, input_list: List[str]) -> None:
         """Exit the CLI gracefully"""
         logger.info("\nGoodbye! 👋")
diff --git a/src/memory/__init__.py b/src/memory/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/memory/manager.py b/src/memory/manager.py
new file mode 100644
index 00000000..aefc4ce0
--- /dev/null
+++ b/src/memory/manager.py
@@ -0,0 +1,372 @@
+from typing import Dict, List, Optional, Union
+from datetime import datetime
+from .store import VectorStore
+from .types import Memory, SearchResult
+from pypdf import PdfReader
+from pathlib import Path
+import logging
+import re
+
+logger = logging.getLogger(__name__)
+
+class MemoryManager:
+    def __init__(self, agent_name: str):
+        self.store = VectorStore(agent_name)
+
+    def create(self, 
+               category: str, 
+               content: str, 
+               metadata: Optional[Dict] = None) -> Memory:
+        """Create a new memory"""
+        metadata = metadata or {}
+        metadata.update({
+            "timestamp": datetime.now().isoformat(),
+        })
+        
+        return self.store.add(category, content, metadata)
+
+    def search(
+        self, 
+        query: str,
+        category: Optional[Union[str, List[str]]] = None,
+        n_results: int = 5,
+        min_similarity: float = 0.2,
+        filter_metadata: Optional[Dict] = None
+    ) -> List[SearchResult]:
+        """Search for similar memories across one or multiple categories"""
+        available_categories = self.list_categories()
+        if not available_categories:
+            return []
+        
+        # Determine categories to search
+        if category is None:
+            categories = available_categories
+        elif isinstance(category, str):
+            categories = [category] if category in available_categories else []
+        else:  # List of categories
+            categories = [cat for cat in category if cat in available_categories]
+        
+        # Search each category
+        results = []
+        for cat in categories:
+            if cat in self.store.collections:
+                cat_results = self.store.search(
+                    cat,
+                    query,
+                    n_results=n_results,
+                    filter_metadata=filter_metadata
+                )
+                results.extend(cat_results)
+        
+        # Sort and filter results
+        results.sort(key=lambda x: x.similarity_score, reverse=True)
+        filtered_results = [
+            result for result in results 
+            if result.similarity_score > min_similarity
+        ]
+        
+        return filtered_results[:n_results]
+
+    def get_memories(
+        self,
+        category: str,
+        n_results: int = 10,
+        filter_metadata: Optional[Dict] = None
+    ) -> List[Memory]:
+        """Get most recent memories from a category"""
+        try:
+            return self.store.get_memories(category, n_results, filter_metadata)
+        except Exception as e:
+            logger.error(f"Error getting recent memories from {category}: {e}")
+            return []
+        
+    def get_relevant_context(self, query: str, n_results: int = 3) -> tuple[str, List[SearchResult]]:
+        """Get relevant memory context for a query"""
+        if len(query.split()) <= 3: # Basic complexity check
+            return "", []
+
+        results = self.search(query=query, n_results=n_results) 
+        if not results:
+            return "", []
+
+        context = "\n\n".join(
+            f"From {result.memory.metadata.get('source', 'reference')}:\n{result.memory.content}"
+            for result in results
+        )
+
+        return context, results
+
+    def list_categories(self) -> List[str]:
+        """List all memory categories"""
+        return self.store.list_categories()
+
+    def split_document(self, text: str, 
+                        chunk_size: int = 500, 
+                        chunk_overlap: int = 100,
+                        respect_boundaries: bool = True) -> List[Dict[str, Optional[str]]]:
+        """
+        Split a document into overlapping chunks while attempting to respect content boundaries.
+        
+        Args:
+            text: Source text to split
+            chunk_size: Target size for each chunk in characters
+            chunk_overlap: Number of characters to overlap between chunks
+            respect_boundaries: Try to break at sentence/paragraph boundaries when possible
+        """
+        sections = []
+        
+        # First, split into coarse sections based on headers
+        coarse_sections = []
+        current_section = []
+        current_header = None
+        
+        for line in text.splitlines():
+            stripped = line.strip()
+            
+            # Detect headers
+            if stripped.startswith('# ') or (stripped.isupper() and len(stripped) > 4):
+                if current_section:
+                    coarse_sections.append({
+                        'header': current_header,
+                        'content': '\n'.join(current_section)
+                    })
+                current_header = stripped.lstrip('#').strip()
+                current_section = []
+            current_section.append(line)
+        
+        # Add final section
+        if current_section:
+            coarse_sections.append({
+                'header': current_header,
+                'content': '\n'.join(current_section)
+            })
+        
+        # Now split each coarse section into smaller chunks
+        for section in coarse_sections:
+            content = section['content']
+            header = section['header']
+            
+            # If content is short enough, keep it as one chunk
+            if len(content) <= chunk_size:
+                sections.append({
+                    'header': header,
+                    'content': content.strip()
+                })
+                continue
+            
+            # Split into overlapping chunks
+            start = 0
+            while start < len(content):
+                # Find end of chunk
+                end = start + chunk_size
+                
+                if respect_boundaries and end < len(content):
+                    # Try to find sentence boundary
+                    sentence_end = content.find('. ', end - 50, end + 50)
+                    if sentence_end != -1:
+                        end = sentence_end + 1
+                    else:
+                        # Try paragraph boundary
+                        para_end = content.find('\n\n', end - 50, end + 50)
+                        if para_end != -1:
+                            end = para_end
+                
+                chunk_content = content[start:end].strip()
+                if chunk_content:  # Only add non-empty chunks
+                    sections.append({
+                        'header': header,
+                        'content': chunk_content
+                    })
+                
+                # Move start for next chunk, considering overlap
+                start = end - chunk_overlap
+                if start < 0:
+                    start = 0
+        
+        return sections
+
+    def create_chunks(self,
+                    file_path: str,
+                    category: str,
+                    metadata: Optional[Dict] = None) -> List[str]:
+        memory_ids = []
+        file_extension = Path(file_path).suffix[1:].lower()
+        base_metadata = {
+            "source": file_path,
+            "document_type": file_extension,
+            **(metadata or {})
+        }
+        
+        try:
+            # PDF handling
+            if file_extension == 'pdf':
+                reader = PdfReader(file_path)
+                text = ""
+                for i, page in enumerate(reader.pages):
+                    page_text = page.extract_text()
+                    if page_text.strip():
+                        text += f"Page {i+1} of {len(reader.pages)}:\n{page_text}\n\n"
+                
+                base_metadata.update({
+                    "total_pages": len(reader.pages),
+                    "has_text": bool(text.strip())
+                })
+            else:
+                # Default to text reading for all other files
+                with open(file_path, 'r', encoding='utf-8') as file:
+                    text = file.read()
+            
+            # Use existing split_document method
+            sections = self.split_document(text)
+            
+            # Create memories for each section
+            for i, section in enumerate(sections):
+                section_metadata = {
+                    **base_metadata,
+                    "chunk_index": i,
+                    "chunks_total": len(sections),
+                    "section_header": section['header'],
+                    "chunk_size": len(section['content']),
+                    "has_code": bool(re.search(r'```.*```', section['content'], re.DOTALL))
+                }
+                
+                memory = self.create(
+                    category=category,
+                    content=section['content'],
+                    metadata=section_metadata
+                )
+                memory_ids.append(memory.id)
+            
+            return memory_ids
+            
+        except Exception as e:
+            logger.error(f"Failed to process document {file_path}: {str(e)}")
+            raise
+
+    def upload_documents(self, filepaths: List[str], category: str, metadata: Optional[Dict] = None) -> Dict[str, int]:
+        """Upload multiple documents to memory, returning statistics about the operation."""
+        successful = 0
+        failed = 0
+        total_chunks = 0
+        
+        for filepath in filepaths:
+            try:
+                memory_ids = self.create_chunks(
+                    filepath,
+                    category=category,
+                    metadata={
+                        "type": "document",
+                        "original_filename": filepath,
+                        "upload_timestamp": datetime.now().isoformat(),
+                        **(metadata or {})
+                    }
+                )
+                successful += 1
+                total_chunks += len(memory_ids)
+            except FileNotFoundError:
+                failed += 1
+            except Exception as e:
+                logger.error(f"Error processing {filepath}: {e}")
+                failed += 1
+        
+        return {
+            "total_attempted": len(filepaths),
+            "successful": successful,
+            "failed": failed,
+            "total_chunks": total_chunks
+        }
+    
+    def get_category_stats(self, category: str) -> Dict[str, Union[int, List[Dict]]]:
+        """Get detailed statistics about a category's contents."""
+        if category not in self.store.collections:
+            return {
+                "document_count": 0,
+                "total_chunks": 0,
+                "documents": []
+            }
+        
+        memories = self.get_memories(category, n_results=1000)
+
+        # Handle empty category
+        if not memories:
+            return {
+                "document_count": 0,
+                "total_chunks": 0,
+                "documents": []
+            }
+        
+        # Group memories by original filename
+        from collections import defaultdict
+        docs = defaultdict(list)
+        for memory in memories:
+            filename = memory.metadata.get('original_filename', 'Unknown source')
+            docs[filename].append(memory)
+        
+        documents = []
+        for filename, chunks in docs.items():
+            documents.append({
+                "filename": filename,
+                "chunk_count": len(chunks),
+                "total_size": sum(len(chunk.content) for chunk in chunks),
+                "upload_date": chunks[0].metadata.get('upload_timestamp', 'Unknown')[:10]
+            })
+        
+        return {
+            "document_count": len(docs),
+            "total_chunks": len(memories),
+            "documents": documents
+        }
+    
+    def delete_memory(self, category: str, memory_id: str) -> bool:
+        """Delete a specific memory"""
+        return self.store.delete(category, memory_id)
+    
+    def remove_category(self, category: str) -> bool:
+        """Delete an entire category of memories"""
+        try:
+            if category in self.store.collections:
+                # Get the collection
+                collection = self.store.collections[category]
+                
+                # Delete the collection from ChromaDB
+                self.store.client.delete_collection(category)
+                
+                # Remove from our collections dict
+                del self.store.collections[category]
+                
+                return True
+        except Exception as e:
+            logger.error(f"Error deleting category {category}: {e}")
+            return False
+        
+    def wipe_document(self, category: str, filename: str) -> int:
+        """Delete all chunks belonging to a specific document."""
+        memories = self.get_memories(category, n_results=1000)
+        chunks_deleted = 0
+        
+        for memory in memories:
+            if memory.metadata.get('original_filename') == filename:
+                if self.delete_memory(category, memory.id):
+                    chunks_deleted += 1
+        
+        return chunks_deleted
+
+    def wipe_category(self, category: str) -> Dict[str, int]:
+        """Delete all memories in a category."""
+        stats = self.get_category_stats(category)
+        success = self.remove_category(category)
+        return {
+            "success": success,
+            "documents_deleted": stats["document_count"],
+            "chunks_deleted": stats["total_chunks"]
+        }
+    
+    def wipe_all_memories(self) -> bool:
+        """Delete all memories and collections."""
+        try:
+            for category in self.list_categories():
+                self.remove_category(category)
+            return True
+        except Exception as e:
+            logger.error(f"Error wiping all memories: {e}")
+            return False
\ No newline at end of file
diff --git a/src/memory/store.py b/src/memory/store.py
new file mode 100644
index 00000000..0a0cccbd
--- /dev/null
+++ b/src/memory/store.py
@@ -0,0 +1,165 @@
+from chromadb import PersistentClient
+from chromadb.utils import embedding_functions
+from typing import Dict, List, Optional
+from .types import Memory, SearchResult
+from uuid import uuid4
+import logging
+import math
+import os
+os.environ["ANONYMIZED_TELEMETRY"] = "False"
+logger = logging.getLogger(__name__)
+
+class VectorStore:
+    def __init__(self, agent_name: str):
+
+        # Create agent-specific directory
+        from pathlib import Path
+        self.db_path = Path(f"./memory_db/{agent_name}")
+        self.db_path.parent.mkdir(exist_ok=True)  # Create memory_db if it doesn't exist
+        
+        # Create a persistent client with agent-specific path
+        self.client = PersistentClient(path=str(self.db_path))
+
+        self.collections = {}
+
+        # Load existing collections
+        try:
+            collection_names = self.client.list_collections()
+            for name in collection_names:
+                try:
+                    self.collections[name] = self.client.get_collection(name)
+                except Exception as e:
+                    logger.error(f"Error loading collection {name}: {e}")
+        except Exception as e:
+            logger.error(f"Error loading existing collections: {e}")
+
+    def _clean_metadata(self, metadata: Dict) -> Dict:
+        """Clean metadata to ensure all values are ChromaDB-compatible types"""
+        cleaned = {}
+        for key, value in metadata.items():
+            # Convert None to empty string
+            if value is None:
+                cleaned[key] = ""
+            # Convert any other values to strings if they're not primitive types
+            elif not isinstance(value, (str, int, float, bool)):
+                cleaned[key] = str(value)
+            else:
+                cleaned[key] = value
+        return cleaned
+
+    def add(self, category: str, content: str, metadata: Dict) -> Memory:
+        """Add a new memory to the store"""
+        if category not in self.collections:
+            self.collections[category] = self.client.create_collection(category)
+        
+        collection = self.collections[category]
+        memory_id = str(uuid4())
+        
+        try:
+            clean_metadata = self._clean_metadata(metadata)
+            
+            collection.add(
+                documents=[content],
+                metadatas=[clean_metadata],
+                ids=[memory_id]
+            )
+            
+            return Memory(
+                id=memory_id,
+                content=content,
+                category=category,
+                metadata=metadata
+            )
+        except Exception as e:
+            logger.error(f"Error adding document to collection: {e}")
+            raise e
+
+    def search(self, category: str, query: str, n_results: int = 5, filter_metadata: Optional[Dict] = None) -> List[SearchResult]:
+        """Search for similar memories in a category"""
+        if category not in self.collections:
+            logger.error(f"Collection {category} not found")
+            return []
+
+        collection = self.collections[category]
+        try:
+            total_docs = len(collection.get()['ids'])
+            if total_docs == 0:
+                logger.error("Collection is empty")
+                return []
+                
+            n_results = min(n_results, total_docs)
+
+            results = collection.query(
+                query_texts=[query],
+                n_results=n_results,
+                where=filter_metadata,
+                include=['distances', 'documents', 'metadatas']
+            )
+            
+            search_results = []
+            for i in range(len(results['ids'][0])):
+                memory = Memory(
+                    id=results['ids'][0][i],
+                    content=results['documents'][0][i],
+                    category=category,
+                    metadata=results['metadatas'][0][i]
+                )
+                
+                # Calculate similarity score
+                distance = float(results['distances'][0][i])
+                similarity_score = math.exp(-distance)
+                
+                search_results.append(SearchResult(
+                    memory=memory,
+                    similarity_score=similarity_score
+                ))
+            
+            return search_results
+                
+        except Exception as e:
+            logger.error(f"Error searching collection {category}: {e}")
+            logger.error(f"Exception type: {type(e)}")
+            return []
+
+    def get_memories(
+        self,
+        category: str,
+        n_results: int = 10,
+        filter_metadata: Optional[Dict] = None
+    ) -> List[Memory]:
+        """Get most recent memories from a category"""
+        if category not in self.collections:
+            return []
+            
+        collection = self.collections[category]
+        results = collection.get(
+            where=filter_metadata,
+            limit=n_results,
+        )
+        
+        memories = []
+        for i in range(len(results['ids'])):
+            memories.append(Memory(
+                id=results['ids'][i],
+                content=results['documents'][i],
+                category=category,
+                metadata=results['metadatas'][i],
+            ))
+        
+        return memories[::-1]  # Reverse to get most recent first
+
+    def delete(self, category: str, memory_id: str) -> bool:
+        """Delete a specific memory"""
+        if category not in self.collections:
+            return False
+            
+        collection = self.collections[category]
+        try:
+            collection.delete(ids=[memory_id])
+            return True
+        except:
+            return False
+        
+    def list_categories(self) -> List[str]:
+        """List all categories"""
+        return list(self.collections.keys())
\ No newline at end of file
diff --git a/src/memory/types.py b/src/memory/types.py
new file mode 100644
index 00000000..411c3bfa
--- /dev/null
+++ b/src/memory/types.py
@@ -0,0 +1,19 @@
+from typing import Dict, List, Optional
+from dataclasses import dataclass
+from datetime import datetime
+
+@dataclass
+class Memory:
+    """Represents a single memory item"""
+    id: str
+    content: str
+    category: str
+    metadata: Dict
+    embedding: Optional[List[float]] = None
+    created_at: datetime = datetime.now()
+
+@dataclass
+class SearchResult:
+    """Represents a search result with its similarity score"""
+    memory: Memory
+    similarity_score: float
\ No newline at end of file