Local-first memory server for AI coding agents that stores work sessions, tasks, and durable memories in Markdown files, exposed through MCP tools for session management and memory retrieval.
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.
A local-first MCP server that manages developer memory for coding agents, enabling shared project context, permissions, and audit trails across different agents.
MCP server that provides offline-first, persistent memory for AI coding assistants. It captures project decisions and conventions into a local SQLite database and syncs them to tool-specific memory files like CLAUDE.md and AGENTS.md.
A local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.