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.
A local coordination layer that enables multiple AI coding agents to share context, task leases, file ownership, and decisions via MCP tools, preventing repeated work and allowing seamless handoffs.
A coordination layer for coding agents that provides identities, message threading, and searchable history. It features file reservation leases to prevent agents from overwriting each other's work in multi-agent environments.
A lightweight coordination layer for multiple AI agents working on the same codebase, providing check-in and check-out tools via STDIO or Streamable HTTP.
A mail-like coordination layer for coding agents, providing identities, inbox/outbox, searchable threads, and advisory file reservations to prevent conflicts in multi-agent workflows.
Local-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.
