Docker's New AI Agent Builder Hits 3.4k Stars on GitHub
Docker Agent
Docker Engineering has released docker-agent, an open-source tool for building, running, and sharing AI agents. It uses declarative YAML configuration, a rich tool ecosystem, and multi-agent orchestration. The project has quickly gained 3.4k stars and 481 forks on GitHub, with over 10,700 commits. It supports provider-backed evaluators, sandboxing, and integration with models like OpenAI's GPT-5.6.
Build, run, and share AI agents with a declarative YAML config, rich tool ecosystem, and multi-agent orchestration.
- kingcauchy
I'm curious about these agent harness frameworks that release their harness before they've released a good agent on top. It's a little cart before the horse.
- Olscore
Interesting seeing other people's approaches to orchestration.
I've been working on Pullboard and just open sourced it: https://github.com/pullboard-dev/pullboard
To me, orchestration is not really the core problem. The bigger challenge is handling agent coherency over long periods of time, (drift) so my solution is a living forum-like system where agents shout to one another, document work in items, and follow doctrine handed down by the developer and work against a known specification that's checkable. I have used this workflow in several large projects that MUST be correct, and it works for me. Currently cleaning it up for other users.
- woah
> docker-agent lets you create and run intelligent AI agents that collaborate to solve complex problems — no code required.
How is "no code required" a selling point when we all have agents that can almost instantly puke out all the mostly-correct code you could want?
- pomsense
The models are converging (directionally), and the rest of us, including all these agent harnesses, are trying to figure out how to stay relevant
- ContinuityLab
Bringing first-class agent orchestration directly into containerized environments is a logical step for secure, reproducible developer workflows.