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project-tessera

Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.

Python Local macOSWindowsLinux
★ 17 stars Last pushed 2026-03-21 License: AGPL-3.0

Topics: Knowledge & Memory

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See the repository for installation instructions: https://github.com/besslframework-stack/project-tessera

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Listed in punkpeye/awesome-mcp-servers (MIT)