Enables any MCP-compatible agent to manage coworker agents with task queues, human approvals, schema-validated handoffs, memory, and trace logging, with local-first storage in ~/.workerlane.
Provides a local vector memory store for AI agents with semantic search, offline embeddings, and MCP integration, enabling tools like Claude and Cursor to store and retrieve information without cloud dependencies.
MemoryLane provides persistent memory and context for AI agents, enabling semantic recall, session history, and memory management via CLI, API, SDK, and MCP.