Add Glama score badge for A2CR
sirot committed
May 16, 2026 at 10:41 UTC
da2f9afa38441fd4c08615c3b0d85127421f9be6
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README.md
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@@ -1561,7 +1561,7 @@ 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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-- [a2cr/a2cr](https://github.com/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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+- [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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- [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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- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
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- [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [](https://glama.ai/mcp/servers/Auctalis/nocturnusai) 🐍 🏠 - Deterministic reasoning engine for AI agent context compression. Extracts structured facts with logical inference, proof chains, and truth maintenance. REST API, Python/TypeScript SDKs, and MCP server integration.