In Episode 22 of Generationship, Rachel Chalmers chats with Elijah Ben Izzy (elijah) of DAGWorks Inc. (YC W23) about Burr (Apache Burr (incubating)), a tool that’s revolutionizing AI workflows. Tune in! hubs.ly/Q02T9RF40

Diving into OSS is a blast and super important! Lately, I've been all about Apache Burr (incubating) for whipping up state machines and AI agents. Just dropped my first commit in the new release 🎉 Give BURR a look guys, it plays nice with any framework. AI devs, you'll love it!

Excited to be running a course on Maven 🏛 with Hugo Bowne-Anderson around building GenAI products using "first principles". But the course material isn't set yet. We'd love your feedback please! If you can spare a few minutes, we'd love your input here - maven.com/forms/b83ce4

System Prompt Improvement Using Dialog Engineering and Apache Burr (incubating) medium.com/@dreamai/promp…

Latent.Space Anshul Ramachandran Yep that's why Apache Hamilton (incubating) and Apache Burr (incubating) observability is built in & pluggable by design, so you can offer all the trappings for enterprise without having to engineer for it later; graph / flowchart mental models FTW!

💫 Humbled to have nearly 250 registrants for my free LLM Software Dev Lifecycle 30 min primer with Stefan Krawczyk on Maven 🏛 (and great to feel there's interest in what I currently want to teach!) 🤖 You can still register below and this is the lifecycle we'll be going

A Apache Burr (incubating) user shared this video youtube.com/watch?v=evmZTh… with me on the "problem with frameworks". Worth a watch. I 💯% agree with the take home. The "coupling problem" is the reason why people graduate out of frameworks like LangChain & LlamaIndex 🦙. You become

Super excited for this post by thierryjean that provides a well laid out golden path for folks iterating in the #GenAI space. This follows up from my tweet yesterday about framework coupling. If the framework allows loose coupling, then graduating out of it isn't a thing you'll

Check out the latest article in my newsletter - highlights: Apache Hamilton (incubating): - async Datadog, Inc. tracer for async Hamilton - pandas polars data with_columns support Apache Burr (incubating): - Persistence configurability for parallelism. See more here: linkedin.com/pulse/week-dec… via

Tired of the deployment headaches with #LLM agents? #BentoML takes care of the heavy lifting - from REST endpoints to scaling. Great post by Thierry Jean from DAGWorks Inc. (YC W23) showing how to combine #Burr and BentoML for streamlined agent deployment! Read the blog post to learn more:

New blog 📣: our write up on our approach to "parallelism" for Augmented LLMs through to Multi-agent workflows. For those curious, yes it differs from LangGraph's implementation methodology. Read on to find out more! blog.dagworks.io/p/parallel-mul… #AgentOps #LLMOps #Opensource #python

💬Chat with your webpage cookbook is out! 💬 It uses ScrapeGraphAI to extract the webpage content, LanceDB to vector store it and retrieve the most relevant chunks and DAGWorks Inc. (YC W23) Apache Burr (incubating) to orchestrate everything 🚀 Try it out: colab.research.google.com/drive/1pbDpLKW…

Want some light reading? Well how about a post on how you might use pytest.org for your LLM / Agent application work? Would love feedback / comments. 👉 Test Driven Development (TDD) of LLM / Agent Applications with pytest.org & Apache Burr (incubating) open.substack.com/pub/dagworks/p…

Super excited to show Anyscale 's ray integration with Burr. What it is? It enables you to distribute "agents" (well sub-graphs) as tasks on Ray, along with fault tolerance! Read more about it here: blog.dagworks.io/p/parallel-fau…

Check out the latest article in my newsletter: Last week of 2024 / first week of 2025 Apache Hamilton (incubating) Apache Burr (incubating) stats: > 35M+ telemetry events (10x growth), > 100K+ unique IPs (10x growth) from 1000+ companies, > crossed 1M+ total downloads. More in the newsletter!

My 8000-word note on agents: huyenchip.com//2025/01/07/ag… Covering: 1. An overview of agents 2. How the capability of an AI-powered agent is determined by the set of tools it has access to and its capability for planning 3. How to select the best set of tools for your agent 4.

So cool to see agent frameworks built on Ray.

📣 New blog post! Chat with your webpage with ScrapeGraphAI, Apache Burr (incubating) and LanceDB blog.dagworks.io/p/chat-with-yo… TL;DR: a great post showing the use of lightweight tools that are "orchestrated" and "observed" with Burr.

Check out the latest article in my newsletter: February Updates linkedin.com/pulse/february… via LinkedIn Apache Hamilton (incubating): - crosses 2K⭐️ - installs in Pyodide envs - mutlithreaded parallel DAG execution Apache Burr (incubating): - crosses 1.5K ⭐️ - async persister implementations - tag

Oh hey 👋 how's them agents? Repo update: github.com/apache/burr (hint: the apache part ) Some user ❤️: