secondbrain-py provides a local-first personal knowledge base using pgvector for hybrid search. It can be queried by Claude and other LLMs via an MCP server. The package is designed for building RAG applications that run entirely on the user's machine with support for Ollama.
In the AI & ML space, secondbrain-py takes a focused approach. It focuses on building and querying a local personal knowledge base with hybrid search for AI agents. It is built as an open-source project for developers. secondbrain-py is open source under the MIT license. It ships for the command line, and it can be self-hosted.
It is developed by mshtawythug, and it first shipped in 2026. The project is developed in the open on GitHub with 630 commits in the last 90 days. Among its 5 catalogued features are Hybrid Search, Local Knowledge Base, and RAG Retrieval. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match