BrainPalace RAG is an open-source Python package that provides intelligent document indexing and semantic search capabilities, allowing AI agents to access long-term memory. It supports integration with LLMs and agent frameworks, making it suitable for developers building advanced AI systems requiring persistent context.
BrainPalace RAG sits in PulseGate's RAG, search & retrieval category. It focuses on enabling AI agents to retain and retrieve long-term memory from indexed documents for improved contextual understanding. It is built as an open-source project for AI developers. BrainPalace RAG is open source under the MIT license. It runs on the command line and API, and it can be self-hosted.
bxw91 builds and maintains BrainPalace RAG, and it first shipped in 2026. Development happens publicly on GitHub with 69 commits in the last 90 days. Key capabilities include semantic search, document indexing, and long-term memory.
Summary written by a language model from the project’s public pages.
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