Headless, peer-to-peer context synchronization for local AI agents. It enables multiple LLM agents to share structured context and resolve state conflicts over a serverless P2P network.
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.
Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
Enables AI agents to coordinate on a shared repository using commutativity-proven parallel landing and regenerative merge, avoiding rebase conflicts through symbol-level leases.
A shared memory and coordination layer for AI coding agents that provides a tamper-evident timeline, conflict awareness, and attribution for multi-agent coding workflows.