Enables AI agents to maintain and query project memory independently of the underlying model, with versioned, auditable storage and multi-stage retrieval through a single MCP gateway.
MCP server for local-first project memory, enabling AI agents to log, search, and retrieve structured project history, summaries, and per-file dossiers with client-specific configuration and diagnostics.
Provides self-hosted memory management for coding agents via MCP, with local vector storage and tools for adding, searching, updating, and deleting memories.
A database-backed MCP server that acts as a project memory bank, enabling AI assistants to store, retrieve, and search structured context like decisions, tasks, and architecture using SQLite and vector embeddings.
Provides persistent, searchable memory for AI agents across any MCP-compatible client, storing project context, user preferences, and session learnings locally in SQLite with tools to save, retrieve, search, and manage them.