Add ZenBrain memory server (Knowledge & Memory)

README.md

@@ -2958,6 +2958,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [pjpoulose/PIL](https://github.com/pjpoulose/PIL) [![pjpoulose/PIL MCP server](https://glama.ai/mcp/servers/pjpoulose/PIL/badges/score.svg)](https://glama.ai/mcp/servers/pjpoulose/PIL) 📇 🏠 🐍 🍎 🪟 🐧 - Personal Instagram Library: turns your Instagram saved posts into a private, AI-searchable knowledge base on your own machine. Vision-AI deep reads (summaries, key points, how-tos, links, tags) go into local SQLite, queried live through a read-only stdio MCP server by Cursor, Claude Code, and Claude Desktop — or as a static export for any AI tool. Code is shared, data stays home.
 - [Mnemosyne-OS/Mnemosyne-Neural-OS](https://github.com/Mnemosyne-OS/Mnemosyne-Neural-OS) [![Mnemosyne-OS/Mnemosyne-Neural-OS MCP server](https://glama.ai/mcp/servers/Mnemosyne-OS/Mnemosyne-Neural-OS/badges/score.svg)](https://glama.ai/mcp/servers/Mnemosyne-OS/Mnemosyne-Neural-OS) 🎖️ 📇 🏠 🍎 🪟 🐧 - Memory the human governs: vaults separated by domain (code, notes, journal) on your own machine, hybrid retrieval (BM25 fused with vectors by RRF), and a declared vault list, so a vault left out cannot be read by mistake. Also reads what the OTHER coding agents on this machine wrote to disk, and flags when two are live in the same git worktree. Needs the Mnemosyne OS desktop app running. `npx -y @mnemosyne_os/mcp`
 - [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: skills that help get reinforced, unused ones fade on an Ebbinghaus decay curve. $0 write path (SQLite FTS5 + local ONNX embeddings, no LLM calls), bilingual EN/RU hybrid search, SHA256 tamper-evident history, deterministic LongMemEval benchmark in-repo (hit@5 0.871). 8 mem_* tools; deep Claude Code hook integration optional. `pip install skillmem`
+- [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 agent memory over MCP. `zenbrain_store` routes what it is given: a general statement becomes a semantic fact, a narrated event an episode, a sequence of instructions a procedure. `zenbrain_recall` searches every layer and tags each result with the layer it came from; `zenbrain_consolidate` runs one sleep-like maintenance pass that promotes repeated episodes into facts and decays stale slots. Local SQLite file, no account and no network call. Apache-2.0, zero-dependency TypeScript core.
 
 ### ⚖️ <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.