MisakaNet is a distributed experience knowledge sharing system for AI agents. It allows agents to share learned experiences so that one agent's mistakes or solutions benefit the entire network. Built with BM25 retrieval and RAG techniques, it creates a collective knowledge base that grows as agents interact with it.
In the AI & ML space, misakanet takes a focused approach. It focuses on enabling distributed sharing and reuse of AI agent experience and knowledge across instances and users. It is built as an open-source project for developers. misakanet is open source under the Apache-2.0 license. It ships for the command line, and it can be self-hosted.
Ikalus1988 builds and maintains misakanet, and it first shipped in 2026. The project is developed in the open on GitHub with 313 stars and 1.1k commits in the last 90 days. Among its 4 catalogued features are Distributed Knowledge Sharing, BM25 Retrieval, and RAG Pipeline.
Summary written by a language model from the project’s public pages.
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