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Add adelinamart/robrain (Knowledge & Memory)
## What Adds **[adelinamart/robrain](https://github.com/adelinamart/robrain)** to the 🧠 Knowledge & Memory section (alphabetical order, one server per line, Glama score badge included per the updated listing requirements). ## About the server RoBrain is Apache-2.0 institutional memory for AI coding agents. Sensing (the MCP server) passively captures session turns; Perception extracts each decision into Postgres with a structured `rejected[]` field. At task time it surfaces the recorded rationale — including *why* an approach was rejected — before an agent steers down a path your team already ruled out. Runs entirely on your own machine (`npx robrain up`); nothing leaves your infrastructure. - **Language/stack:** TypeScript · Postgres + pgvector · stdio transport (`npx -y robrain mcp`) - **Works with:** Claude Code, Cursor, GitHub Copilot (VS Code), Codex CLI - **Benchmarked:** VetoBench — 0/50 re-proposals of rejected approaches, receipts committed in `packages/vetobench/` ## Listing requirements - ✅ Listed on Glama with **passing checks**: https://glama.ai/mcp/servers/adelinamart/robrain - ✅ Score badge added after the repo link, using the required format - ✅ Also published in the Official MCP Registry (`io.github.adelinamart/robrain`) Supersedes my earlier PR (closed before the Glama listing existed).
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@@ -1996,6 +1996,7 @@ Control smart home devices, home network equipment, and automation systems.
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Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
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- [soolaugust/0CompactMem](https://github.com/soolaugust/0CompactMem) [](https://glama.ai/mcp/servers/soolaugust/0CompactMem) 🐍 🏠 🍎 🪟 🐧 - Persistent memory MCP server with OS-style demand paging, kswapd-style eviction, and mlock pinning. Multi-agent shared SQLite store with BM25 + FTS5 retrieval, importance scoring, and capacity-aware reclaim. 5 tools: `memory_lookup`, `pin_memory`, `unpin_memory`, `memory_stats`, `list_pinned`. `uvx --from git+https://github.com/soolaugust/0CompactMem memory-os`
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- [adelinamart/robrain](https://github.com/adelinamart/robrain) [](https://glama.ai/mcp/servers/adelinamart/robrain) 📇 🏠 🍎 🪟 🐧 - Self-hosted decision memory for AI coding agents. Passively captures architectural decisions with the alternatives you rejected (structured `rejected[]`), then warns the agent before it re-proposes a rejected approach. Postgres + pgvector; cross-tool across Claude Code, Cursor, Copilot, and Codex. Install: `npx robrain up && npx robrain install`.
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- [a2cr/a2cr](https://github.com/a2cr/a2cr) [](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 🪟 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.
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- [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) 📇 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (file→line→concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp`
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- [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp`
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@@ -3427,4 +3428,4 @@ Now Claude can answer questions about writing MCP servers and how they work
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