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elijahbenizzy

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投稿

Parallel, Fault-Tolerant Agents with Burr and Ray

blog.dagworks.io
1 ポイント·投稿者 elijahbenizzy·2 年前·0 コメント

Lean Data Automation: a principal components approach

blog.dagworks.io
2 ポイント·投稿者 elijahbenizzy·2 年前·0 コメント

Parallel multi-agent workflows with Burr

blog.dagworks.io
3 ポイント·投稿者 elijahbenizzy·2 年前·0 コメント

Deep Dive on Hamilton Decorators

blog.dagworks.io
2 ポイント·投稿者 elijahbenizzy·2 年前·0 コメント

Show HN: Updates on Burr (OS) – a full-stack AI agent framework

burr.dagworks.io
8 ポイント·投稿者 elijahbenizzy·2 年前·1 コメント

コメント

elijahbenizzy
·先月·議論
Strands is more opinionated and higher-level, also not vendor neutral.
elijahbenizzy
·先月·議論
wait till you see our other project github.com/apache/hamilton ;)
elijahbenizzy
·先月·議論
So decorators here specifically attach metadata to make a function a reusable component. Builder makes a workflow. In Hamilton it's all decorators because it's purely declarative construction (sans reusability, really).
elijahbenizzy
·先月·議論
Right it was a bit of a joke. Originally stefan and I presented frameworks when we were at stitch fix -- stefan called his "hamilton" and I called mine "burr". His was better for the use-case. But then we wanted to build something for state machines as opposed to DAGs, so we called it Burr. I wanted the git tagline to be "make your agents go burr..."
elijahbenizzy
·先月·議論
Ha! We went all out on the modern one (user contribution!).
elijahbenizzy
·先月·議論
This is where it's nice to have some guardrails -- coding agents work etremely well with limitations.
elijahbenizzy
·先月·議論
Right I think this is why we made it unopinioated to a fault. Burr doesn't really do these things rather it just provides an orchestration framework. So it's pure BYO functions, classes, components, etc...
elijahbenizzy
·先月·議論
Right -- possible it's slightly out of date https://github.com/apache/burr#-comparison-against-common-fr.... Good point on differentiating.
elijahbenizzy
·先月·議論
One of the co-creators/maintainers here! Will try to answer Qs over the day.
elijahbenizzy
·昨年·議論
And then says... "you're welcome"
elijahbenizzy
·昨年·議論
Ok do this but for JavaScript
elijahbenizzy
·昨年·議論
This is amazing! I love that it requires very fancy hardware that is well designed. It's good someone finally made a chess game appropriate for the tiktok generation.
elijahbenizzy
·昨年·議論
Really excited about this! Congrats on the launch. Ships make sense as a first target, but I'm curious -- do you see a future in which we have household fission reactors? E.G. power an entire house (city block, etc...) with fission reactors?
elijahbenizzy
·昨年·議論
We’ve just learned that it’s possible to do AI on less compute (deepseek). if OpenAI doesn’t scale and that’s the problem then I’d argue that in the long run, if you believe in their ability to do research, then the news this week is a very bullish sign.

IMO the equivalent of moores law for AI (both on software and hardware development) is baked into the price, which doesn’t make the valuation all too crazy.
elijahbenizzy
·昨年·議論
This is one of those fun reads because it unifies quite a few things that I’ve read about or been interested in recently — Hilbert curves for geospatial indexing in dbs, Gray codes, and fractals! And it’s all fairly intuitive — the 1-bit shift makes sense for space traversal and makes the numbers curve pattern easier to reason about.
elijahbenizzy
·昨年·議論
Not believable, didn't read "double click"
elijahbenizzy
·2 年前·議論
We've leveraged Diataxis heavily for Hamilton and Burr documentation:

- https://hamilton.dagworks.io

- https://burr.dagworks.io

It's not always the easiest to follow (we often have disagreements about whether something is a tutorial or a how-to), but it's a really valuable framing and I think our docs have gotten better because of it.
elijahbenizzy
·2 年前·議論
Links to various resources + writeups!

Recursion/parallelism: - Docs: https://burr.dagworks.io/pull/370/concepts/parallelism/

- Example: https://github.com/DAGWorks-Inc/burr/tree/main/examples/para...

UI annotations: - Blog post: https://blog.dagworks.io/p/annotating-data-in-burr

OpenTelemetry: - Docs: https://burr.dagworks.io/reference/integrations/opentelemetr...

- Blog post: https://blog.dagworks.io/p/trace-all-parts-of-your-agenticai

Time-travel/forking: - Docs: https://burr.dagworks.io/concepts/state-persistence/#initial...

- Blog post: https://blog.dagworks.io/p/travel-back-in-time-with-burr

Monitoring: - Deployment: https://github.com/DAGWorks-Inc/burr/tree/main/burr/tracking...

- UI overview: https://blog.dagworks.io/p/burr-ui

And a few other writeups we're excited about: - Collaboration with instructor: https://python.useinstructor.com/blog/2024/07/11/youtube-tra...

- Full-stack example of a streaming app: https://towardsdatascience.com/how-to-build-a-streaming-agen...

- Human-in-the-loop app with Burr: https://towardsdatascience.com/building-an-email-assistant-a...