Sounds like https://github.com/gastownhall/beads to me. I prefer working solo, single-threaded on components to stay on top of agentic work, so it didn’t end up being a force multiplier for my workflows (and actually kinda got in the way from time to time due to me rebasing too much), but I can see its value when you have many agents working simultaneously.
The author’s core insight is to remove the blackboard from source control. Another insight I’ve found is to compact the agent state log. I typically do this by having plans and implementation docs written at commit time and checked into .docs/. This separates the activity communication stream from codified documentation. You can then “compact” the state log by just keeping the last N lines.
I found this really interesting. You could probably prompt it to use a ”blackboard system” and reference the wiki. Maybe a place to store the data is as a GitHub discussion/issue or something similar. That way you can easily browse it and watch what’s happening.
I may have explored a related approach but as an append-only log riding on source-control to sync state between checkouts (git trailer metadata specifically)
TLDR; Talwrn (Welsh) is aiming to be a blackboard for agentic engineering.
"My goal is a very simple to use tool that drops straight into your project and immediately offers a communication channel for agents to coordinate work. The first step is to get Talwrn to a point where it can support its own development. I’m planning to post about it regularly as I’m hoping to use it as a single, evolving example of how pure agentic engineering can proceed."
Another example of a society of AI agents. The shape of this is starting to emerge. People on here laughed at Gas Town. Now it's clear that a group of agents with an organizational structure are more powerful than a single agent.
This is about the fourth example to hit HN. Note that the OpenAI sandbox breakout was done by a cooperating group of AIs, not a single one. They even self-organized their own organizational structure.
The future may be AI structured as a corporation, rather than AI as a human competitor.
>They even self-organized their own organizational structure.
The boulder, it even found a path down the mountain. on its own, by doing so-amazing path finding its own super amazing path finding algorithm, and all the boulders co-ordinated falling down, ON THEIR OWN! And they all reached the ground!
I tell you! The future may be these boulders washing your underpants and putting you to sleep. It is clear!
Ed: for posterity
https://www.reuters.com/world/europe/openai-agents-hijacked-...
I may have explored a related approach but as an append-only log riding on source-control to sync state between checkouts (git trailer metadata specifically)
https://gist.github.com/corv89/c506780881b260f4c5a4618fe8d92...
Excited to see where such concepts can take "multiplayer" agentic systems
"My goal is a very simple to use tool that drops straight into your project and immediately offers a communication channel for agents to coordinate work. The first step is to get Talwrn to a point where it can support its own development. I’m planning to post about it regularly as I’m hoping to use it as a single, evolving example of how pure agentic engineering can proceed."
Term: "Blackboard" https://en.wikipedia.org/wiki/Blackboard_system
The future may be AI structured as a corporation, rather than AI as a human competitor.
The boulder, it even found a path down the mountain. on its own, by doing so-amazing path finding its own super amazing path finding algorithm, and all the boulders co-ordinated falling down, ON THEIR OWN! And they all reached the ground!
I tell you! The future may be these boulders washing your underpants and putting you to sleep. It is clear!