Enables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.
Enables coding agents to track and coordinate project work through a shared SQLite ledger, including task plans, session ancestry, claims, work locations, blockers, and commits via MCP tools.
Enables deterministic, SQLite-backed task and todo tracking across multiple project scopes via MCP tools, allowing agents to add, update, list, complete, and delete tasks without hand-editing text files.
Enables AI assistants to manage tasks with full lifecycle support including due dates, priorities, tags, subtasks, and project lists via 19 SQLite-backed MCP tools.
A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.