Multiplayer coordination for AI coding agents: Claude Code, Codex CLI and Cursor share one room per repository. An agent claims a path glob before it edits and a conflicting claim is refused at claim time, so collisions are prevented rather than resolved at merge. Metadata only — source code and diffs never leave the machine.
A coordination layer for coding agents that provides memorable identities, inbox/outbox messaging, searchable message history, and file lease management to prevent conflicts. Uses Git for human-auditable artifacts and SQLite for fast queries, enabling multiple agents to collaborate across projects without stepping on each other.
Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.
The infrastructure for AI teams: a self-hosted server that gives a fleet of agents shared semantic memory, tasks, direct messages, and session handoff. Any agent that speaks HTTP participates: Claude Code, AutoGen, raw API scripts, anything.
agent-mq is a message queue that enables AI coding agents to communicate with each other across sessions and machines. Agents can send messages, delegate tasks, and coordinate work — all through MCP tools. Supports Claude Code, Cursor, Codex, OpenClaw, and any MCP-compatible tool. UUID-based authentication with per-user data isolation. Self-hostable with Docker.
Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).
