What the board has decided about this committee or office, and the reports it filed, most recent first. Generated from the published minutes.
These categorised views are best effort. They are read from the published minutes by a program, and what it can attribute to a committee depends on how each resolution happens to be worded — so a page may be incomplete, and nothing here overrides the minutes themselves. The raw minutes are the source of truth.
Please note. The board approves the minutes of a meeting at the meeting after it, and they are published then - so the most recent meeting is not usually here. ASF Members can read the draft in the board's own repository until it is.
[raw] the published minutes, which are the record. [main index]
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Build release knowledge & ability through PPMC. 2. Build community 3. Build roadmap ### Are there any issues that the IPMC or ASF Board need to be aware of? No. ### How has the community developed since the last report? Was on the front page of hackernews - drove some discord joins. ### How has the project developed since the last report? Added new PPMC member. ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [X] Working towards first release - [-] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: 2026-05-09 ### When were the last committers or PPMC members elected? 2026-05-22 ### Have your mentors been helpful and responsive? N/A ### Is the PPMC managing the podling's brand / trademarks? N/A ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [X] (burr) Ayush Saxena Comments: - [X] (burr) PJ Fanning Comments: - [ ] (burr) Jarek Potiuk Comments: ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Complete second Apache release (0.42.0-incubating) — vote on incubator general currently in progress. 2. Diversify reviewer base — reviewer diversity (effective # 1.87) is concentrated; need more independent reviewers for PRs 3. Grow independent committer base — currently 3 active committers with commit activity (skrawcz, ebenizzy, and community contributors); need to identify and elect new committers from active contributors ### Are there any issues that the IPMC or ASF Board need to be aware of? No. ### How has the community developed since the last report? • 7 new contributors in the last 3 months, 14 over 6 months • 12 unique committers active in the 3-month window • 10 unique PR authors and 6 unique reviewers (sampled) • dev@ mailing list has 12 unique posters • Active participation in release votes from mentors (Jernej Frank, PJ Fanning, Jarek Potiuk) and community members • André Ahlert added as collaborator and leading UI contributions (16 commits since Jan 2026) ### How has the project developed since the last report? • First official Apache release (0.41.0-incubating) completed and published to dist.apache.org (~January 2026) • 0.42.0-incubating RC3 vote in progress (started April 26); RC1 and RC2 received constructive feedback on licensing which was addressed • New features: AWS Bedrock integration (#677), cloud-native AWS deployment example (#666), ecosystem page for website (#661), flexible_api decorator for mypy compatibility (#683), async persister improvements (#681), graceful stream shutdown (#680) • CI/infrastructure improvements: repo governance workflows, release validation pipeline, automated artifact verification • 34 issues closed since January 2026; 58 commits in 3-month window • Median PR time-to-merge: 2.4 days ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [X] Working towards first release - [X] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: 2026-01-25 ### When were the last committers or PPMC members elected? No new committers or PPMC members have been elected since the initial roster was established (last LDAP modification: 2025-10-22). One active contributor André Ahlert is a candidate for election. ### Have your mentors been helpful and responsive? No answer. ### Is the PPMC managing the podling's brand / trademarks? Not aware of any issues. ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [ ] (burr) Ayush Saxena Comments: - [X] (burr) PJ Fanning Comments: Need to look at adding extra committers from the active contributors. - [ ] (burr) Jarek Potiuk Comments: ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Build release cadence. 2. Add a couple more core contributors. 3. Get more focused on building community. ### Are there any issues that the IPMC or ASF Board need to be aware of? N/A ### How has the community developed since the last report? 1. Discord seeing small growth. 2. Otherwise largely feels flat-ish. ### How has the project developed since the last report? 1. We have just managed to get our first release out! 2. We're looking forward to ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [X] Working towards first release - [X] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: 2026-01-24 ### When were the last committers or PPMC members elected? 2025-05-24. ### Have your mentors been helpful and responsive? Are things falling through the cracks? If so, please list any open issues that need to be addressed. Yes. They helped us figure out a first version release process. ### Is the PPMC managing the podling's brand / trademarks? Are 3rd parties respecting and correctly using the podlings name and brand? If not what actions has the PPMC taken to correct this? Has the VP, Brand approved the project name? Nothing here that we're aware of. ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [ ] (burr) Ayush Saxena Comments: - [X] (burr) PJ Fanning Comments: - [ ] (burr) Jarek Potiuk Comments: ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Release 2. Build PPMC release muscle 3. Build community ### Are there any issues that the IPMC or ASF Board need to be aware of? N/A ### How has the community developed since the last report? New issues from new users and new small time contributions added. ### How has the project developed since the last report? We're gearing up for the first release. Most of the PPMC is on Hamilton so we're taking those learnings and applying them here. ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [-] Working towards first release - [ ] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: N/A -- almost there! ### When were the last committers or PPMC members elected? May 2025 ### Have your mentors been helpful and responsive? N/A ### Is the PPMC managing the podling's brand / trademarks? N/A ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [ ] (burr) Ayush Saxena Comments: - [X] (burr) PJ Fanning Comments: ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Finish docs 2. Add licenses to all files 3. Make a release ### Are there any issues that the IPMC or ASF Board need to be aware of? We're slow. ### How has the community developed since the last report? New discord members. ### How has the project developed since the last report? We have a user wanting to contribute a major UI feature. ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [ ] Working towards first release - [ ] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: N/A ### When were the last committers or PPMC members elected? May ### Have your mentors been helpful and responsive? We're just slow to get through all the red-tape to release. ### Is the PPMC managing the podling's brand / trademarks? No answer. ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [X] (burr) Ayush Saxena Comments: Progressing slowly - [X] (burr) PJ Fanning Comments: This podling has member overlap with Hamilton and the focus appears to be on Hamilton right now so Burr progress is slow ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Finish check list to be able to make a release 2. Start releasing 3. Enable more contributors ### Are there any issues that the IPMC or ASF Board need to be aware of? ### How has the community developed since the last report? Flat. Discord continues to trickle in. One user wants to contribute a UI. ### How has the project developed since the last report? 1. One new feature was merged. 2. Some PRs were merged for licensing etc. But still more work needed for first release. ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [ ] Working towards first release <== here - [ ] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: N/A ### When were the last committers or PPMC members elected? May 2025 ### Have your mentors been helpful and responsive? Time for the committers has been an issue this summer to get through the checklist required to release under Apache. ### Is the PPMC managing the podling's brand / trademarks? I think so. No issues thus far. ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [X] (burr) Ayush Saxena Comments: - [X] (burr) PJ Fanning Comments: Podling name is approved. We got it approved before setting up ASF resources. ### IPMC/Shepherd notes:
Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry. Burr has been incubating since 2025-05-24. ### Three most important unfinished issues to address before graduating: 1. Publish docs 2. Publish a release 3. ### Are there any issues that the IPMC or ASF Board need to be aware of? N/A ### How has the community developed since the last report? N/A ### How has the project developed since the last report? Still setting up. ### How would you assess the podling's maturity? Please feel free to add your own commentary. - [X] Initial setup - [ ] Working towards first release -- current status - [ ] Community building - [ ] Nearing graduation - [ ] Other: ### Date of last release: N/A ### When were the last committers or PPMC members elected? N/A ### Have your mentors been helpful and responsive? Yes - responsive. On us PMC to get the ball rolling faster. ### Is the PPMC managing the podling's brand / trademarks? No answer. ### Signed-off-by: - [ ] (burr) Kevin Ratnasekera Comments: - [X] (burr) Ayush Saxena Comments: Setting up the project - [X] (burr) PJ Fanning Comments: ### IPMC/Shepherd notes: