Tawn is an open-source local-first memory and context engine designed as a personal digital twin. It provides RAG-based retrieval, semantic search, and persistent memory for individual users working on research, academic, or professional tasks. The package includes an MCP server interface and can be run locally via CLI or self-hosted setups.
tawn is an AI & ML project. It focuses on managing and retrieving personal knowledge, context, and memories across work, research, and academic projects without relying on cloud services. tawn is an open-source project aimed at researchers. tawn is open source under the MIT license. It ships for the command line, and it can be self-hosted.
tawn-hq builds and maintains tawn, and it first shipped in 2026. The project is developed in the open on GitHub with 14 commits in the last 90 days. Key capabilities include local-first memory, personal digital twin, and RAG retrieval. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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