Enables AI agents to claim task cards from a self-hosted board, receive complete briefings, and submit handoffs with evidence and telemetry for human validation.
Self-hosted task tracker and MCP server for AI coding agents. Append-only case files preserve decisions, failed attempts, questions, and check results across sessions. A live web board lets people track progress and answer agents. Runs locally in Docker and connects to Claude Code, Codex, Cursor, and other Streamable HTTP MCP clients. MIT licensed.
Enables multiple LLM agents across devices to form teams, share knowledge, memory, and tasks with live status via a web dashboard and distributed-systems reliability.
Enables multiple AI coding agents to coordinate on a shared software project by registering, claiming tasks, declaring file intents, publishing structured change reports, and handing off context, with a local dashboard showing state in near real time.
Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, and health-gated completion evidence. It integrates with multiple coding tools while keeping task state, actions, and health results in the harness.