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apache
burr
Python2024–2026
apache / burr

burr

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Systems & InfrastructureAI & Machine LearningData & DatabasesScience & EngineeringLibraries & SDKs
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5Distinct people
14Mentions
0Explicit recommenders
2.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:56:20 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month14 dated mentions

Observed mentions: 2024-04-03 13:42:34 UTC to 2026-06-10 17:13:48 UTC.

01232024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsApr 20242024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20252025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJun 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC312
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC101
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC202
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC321
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC101
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC202

What Hacker News says

3 sources
krawczstef·Nov 21, 2024Submission

Show HN: Modeling parallel (and hierarchical) agents with Burr

Hi all, just showing a new construct in Burr (for more info on Burr see - https://news.ycombinator.com/item?id=39917364) for modeling agent / agentic parallelism. We think a "graph" mental model lends itself well to thinking about parallelism (& hierarchy) -- would love your thoughts. Video walkthrough of notebook - https://youtu.be/G7lw63IBSmY Why did we build this feature? The future is only going to get more complex with LLMs & agents, and having the right constructs with integrated observability will help us get there. We naturally saw people doing this and thought we could help simplify it more. Key Features of Burr's constructs: * you can map over dynamic values in state (e.g. run an agent in parallel over many URLs) * you can map over dynamic actions/or sub-graphs (e.g. running different agents in parallel) * you can do the cartesi
Read the rest
an product between the two (e.g. run over prompts and actions/agents and do it in a loop to modify them...) More details here - https://burr.dagworks.io/concepts/parallelism/. Things not mentioned but useful in this parallel context, Burr comes with pluggable durability/persistence/memory (see https://burr.dagworks.io/concepts/state-persistence/). We'd love to get any early feedback from the HN community, ideas for where you'd like the framework to go, or UI/UX experiences in this space. We will be in the comments for the next few hours to respond! Or leave an issue or discussion here - https://github.com/dagworks-inc/burr. Thanks!
2 points · Open discussion
elijahbenizzy·Nov 19, 2024
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.useinstru
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ctor.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...
In Show HN: Updates on Burr (OS) – a full-stack AI agent framework
elijahbenizzy·Nov 19, 2024Submission

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

Hey HN, In the months since we initially released Burr (https://news.ycombinator.com/item?id=39917364), we have been hard at work. We wanted to share some of the most exciting changes we’ve made to build Burr out as a full-stack development framework for AI agents. In case you don’t recall, Burr is an open-source python library that makes it easier to build and debug GenAI applications & agents by representing them as graphs of simple python objects/functions. Burr only abstracts away system-level concerns (state persistence, debugging, observability), and does not dictate the way you interact with LLMs. Burr comes with a host of capabilities including an open-source UI for monitoring and observing. Burr competes with (and complements) libraries such as Haystack and LangGraph, differentiating with a focus on simpler graph state and observ
Read the rest
ability constructs. We value clarity and customization over terseness (we do not have a graduation problem). You can find the repository here: https://github.com/dagworks-inc/burr. We are really excited about the following new features: - Recursive, Parallel Agents: Model multi-agent hierarchies and track directly in the UI - UI Annotations: Mark production data to review and gather post-execution evaluation/test datasets - OpenTelemetry Integration: Log to OpenTelemetry and ingest OTel in the Burr UI to improve and customize visibility - Reloading, Time Travel, and Forking: Debug by reloading any point in the execution history to replay and fix issues. - Production-Ready Monitoring: Deploy with a simple self-hosted S3-based system. Since releasing, people are building & successfully shipping: concierge agents for slack, voice answer agents for restaurants, agents over RAG systems, co-pilots for internal business workflows, to name a few. On top of this we have an exciting set of blog posts, writeups, and user testimony – we’ll be sharing this + more links to get started in a comment below!
8 points · Open discussion

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