Agent Brain RAG is an open-source Python package and server that provides intelligent document indexing and semantic search capabilities, giving AI agents persistent long-term memory. It supports RAG workflows and integrates with LLMs, making it ideal for developers building advanced AI agents that require context retention and efficient information retrieval.
In the RAG, search & retrieval space, Agent Brain RAG takes a focused approach. It focuses on enabling AI agents to efficiently index, search, and recall large document sets for improved long-term memory and context retention. It is built as an open-source project for AI developers. Agent Brain RAG is open source under the MIT license. Agent Brain RAG is available on the command line and API, and it can be self-hosted.
Spillwave Solutions builds and maintains Agent Brain RAG, and it first shipped in 2025. Development happens publicly on GitHub with 111 stars and 470 commits in the last 90 days. Among its 5 catalogued features are semantic search, document indexing, and long-term memory.
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