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.
Provides operational continuity for AI coding agents, preserving task state, decisions, checkpoints, and project context across sessions and model switches via MCP.
Local-first MCP server that persists AI coding agent memory and session context, enabling seamless resume across sessions with searchable memories and checkpoints.
Enables AI agents to maintain persistent context across sessions, restarts, and handoffs through a mailbox-based context sync protocol, compatible with any MCP-aware client.