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Kynetic Agents: collaborative agentic engineering
See how four specialized AI agents autonomously engineer a robotics data pipeline, collaborating, resolving conflicts, and shipping code with minimal human oversight.
I’m building a hierarchical robot learning architecture at Kynetic Intelligence, but the part that’s most relevant to this group is the development engine behind it: Kynetic Agents, a fork of the open-strix Discord-native agent platform. I’ve set up four specialized AI agents — Forge (engineering), Neuron (research), Venture (brand/business), and Archon (program management) — who operate autonomously on a PR-driven kanban board. They pull tickets from a shared backlog, open pull requests with full test coverage and linting, respond to my code review, and self-merge via GitHub. In eight weeks they’ve shipped 70+ merged PRs across a complete open-source robotics data pipeline. What makes this interesting for AI Tinkerers: the agents coordinate with each other — they debate architectural tradeoffs, resolve each other’s merge conflicts, fix CI failures autonomously, and even detect and close each other’s race-condition duplicate PRs. All of this happens in a shared Discord channel with zero human intervention between code review cycles. Four agents, one kanban board, one human reviewer. The result: I spend my engineering time on design approval and code review, not on managing developers.
A three-stage trained generalist AI separating task planning from physical execution.