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.
An MCP server that enables users to transform AI conversations into a structured, searchable knowledge base by saving ideas, code snippets, bookmarks, and reminders. It supports persistent storage through Supabase or PostgreSQL and includes webhook integrations for automating workflows with external tools.
An MCP server that lets coding agents build and query a persistent knowledge graph of concepts, architecture, and decisions, enabling them to remember across sessions.
An MCP server that lets coding agents search, retrieve, and add development notes as plain markdown, capturing and sharing knowledge during live coding sessions.