Provides a unified context layer for Cursor's agent with lossless token savings and verifiable memory, enabling efficient code exploration and cross-session continuity.
Provides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.
Provides a local context-memory layer for AI assistants, enabling retrieval-augmented queries, explanations, feedback, and status checks via MCP tools.
Local-first, cross-session context store that reduces token usage by saving facts, decisions, and preferences, and recalling them in later sessions with token-efficient ranking and compression.