Enables coding agents to store, recall, and manage persistent memory across sessions through MCP tools, with reviewable handoffs and SQLite-backed local storage.
Provides persistent, inspectable memory storage for AI agents using SQLite. Agents can store, recall, and search memories across sessions via three MCP tools.
Persistent memory for AI coding agents. Enables agents to save and recall decisions, patterns, bugs, and context across sessions via an MCP server with local SQLite storage.
Provides a persistent, cross-tool memory layer for AI coding agents via MCP, enabling storage and retrieval of decisions, preferences, and context across different tools and models.
Local, cross-agent memory for AI coding agents using a single SQLite file, enabling persistent sessions and durable facts shared across multiple MCP-compatible tools.
A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.