diff --git a/README.md b/README.md
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@@ -2905,6 +2905,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [liza-studio/skillmem](https://github.com/liza-studio/skillmem) [![liza-studio/skillmem MCP server](https://glama.ai/mcp/servers/liza-studio/skillmem/badges/score.svg)](https://glama.ai/mcp/servers/liza-studio/skillmem) 🐍 🏠 🍎 🪟 🐧 - Self-improving skill memory for coding agents: useful skills are reinforced, unused ones fade; local English/Russian hybrid search, tamper-evident history.
 - [zensation-ai/zenbrain](https://github.com/zensation-ai/zenbrain) [![zensation-ai/zenbrain MCP server](https://glama.ai/mcp/servers/zensation-ai/zenbrain/badges/score.svg)](https://glama.ai/mcp/servers/zensation-ai/zenbrain) 📇 🏠 🍎 🪟 🐧 - Seven-layer local agent memory that routes input into facts, episodes or procedures, searches all layers and consolidates repeated episodes into facts.
 - [dat999zx/knowl](https://github.com/dat999zx/knowl) [![dat999zx/knowl MCP server](https://glama.ai/mcp/servers/dat999zx/knowl/badges/score.svg)](https://glama.ai/mcp/servers/dat999zx/knowl) 📇 🏠 🍎 🪟 🐧 - Persistent local memory for coding agents that retires replaced facts at write time, so agents read the current answer; facts are typed with provenance.
+- [memokar/brainy](https://github.com/memokar/brainy) [![memokar/brainy MCP server](https://glama.ai/mcp/servers/memokar/brainy/badges/score.svg)](https://glama.ai/mcp/servers/memokar/brainy) 🎖️ 🐍 🏠 🐧 - Self-hosted shared brain for multiple agents: Git-versioned Markdown knowledge plus a task queue with atomic claims, per-space ACL, audit log and human approval, so Claude, ChatGPT and other agents can hand work to each other.
 
 ### ⚖️ <a name="legal"></a>Legal
 Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.