This MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.
MCP server that captures and resumes coding context, saving snapshots of branch, open files, diff, and the user's hypothesis, with searchable journal and gap-filling exploration.
An MCP server that enables AI assistants to manage Context Repo prompts, documents, and collections with semantic search and progressive disclosure navigation.