fix: use public integrations GitHub repo URL for AI Design Blueprint

Michelangelo-Z committed Apr 24, 2026 at 18:54 UTC 439bb7e01aa254e4ab8151de7cb0fa4d59f70295
1 file changed +1 -1
README.md
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@@ -1494,7 +1494,7 @@ Control smart home devices, home network equipment, and automation systems.
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1495 Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
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1497 -- [AI Design Blueprint Doctrine](https://aidesignblueprint.com) 🐍 ☁️ - 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`
1497 +- [aidesignblueprint/integrations](https://github.com/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`
1498 - [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](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
1499 - [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [![Auctalis/nocturnusai MCP server](https://glama.ai/mcp/servers/Auctalis/nocturnusai/badges/score.svg)](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.
1500 - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content