Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
@elijahbenizzy
elijahbenizzy committed Jan 20, 2025
1 parent 2900e9e commit 5915ef8
Showing 1 changed file with 43 additions and 62 deletions.
105 changes: 43 additions & 62 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -150,68 +150,49 @@ We imagine a world in which Burr and Hamilton lived in harmony and saw through t
built Burr as a _harness_ to handle state between executions of Hamilton DAGs (because DAGs don't have cycles),
but realized that it has a wide array of applications and decided to release it more broadly.

## Testimonials
<link rel="stylesheet" type="text/css" href="https://raw.githubusercontent.com/DAGWorks-Inc/burr/refs/heads/main/docs/_static/testimonials.css">
<div class="testimonial-container">
<div class="testimonial-card">
<div class="testimonial-content">
<p>"After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making."</p>
<h4>Ashish Ghosh</h4>
<span>CTO, Peanut Robotics</span>
</div>
</div>
<br/>
---
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."</p>
<h4>Reddit User</h4>
<span>LocalLlama, Subreddit</span>
</div>
</div>
<br/>
---
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging, a piece of cake. And the always ready to help team, is the cherry on top."</p>
<h4>Ishita</h4>
<span>Founder, Watto.ai</span>
</div>
</div>
<br/>
---
<div class="testimonial-card">
<div class="testimonial-content">
<p>"I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."</p>
<h4>Matthew Rideout</h4>
<span>Staff Software Engineer, Paxton AI</span>
</div>
</div>
<br/>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that"</p>
<h4>Rinat Gareev</h4>
<span>Senior Solutions Architect, Provectus</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."</p>
<h4>Hadi Nayebi</h4>
<span>Co-founder, CognitiveGraphs</span>
</div>
</div>
<br/>
---
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Moving from LangChain to Burr was a game-changer! <br/>Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. <br/>Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. <br/>Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."</p>
<h4>Aditya K.</h4>
<span>DS Architect, TaskHuman</span>
</div>
</div>
</div>
# Testimonials

> "After evaluating several other obfuscating LLM frameworks, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision-making."
**Ashish Ghosh**
*CTO, Peanut Robotics*


> "Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."
**Reddit user cyan2k**
*LocalLlama, Subreddit*


> "Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with, and I especially love their UI which makes debugging a piece of cake. And the always-ready-to-help team is the cherry on top."
**Ishita**
*Founder, Watto.ai*


> "I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."
**Matthew Rideout**
*Staff Software Engineer, Paxton AI*


> "Burr's state management part is really helpful for creating state snapshots and building debugging, replaying, and even evaluation cases around that."
**Rinat Gareev**
*Senior Solutions Architect, Provectus*

> "I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."
**Hadi Nayebi**
*Co-founder, CognitiveGraphs*

> "Moving from LangChain to Burr was a game-changer!
> - **Time-Saving**: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain.
> - **Cleaner Implementation**: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases.
> - **Team Adoption**: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."
**Aditya K.**
*DS Architect, TaskHuman*

## 🛣 Roadmap

Expand Down

0 comments on commit 5915ef8

Please sign in to comment.