{"id":"f1f9076c-893e-4db9-9a38-6c70772d7ee0","slug":"awesome-mcp-abhigyan-shekhar-waggle-mcp-https-github-com-abhigy","name":"Abhigyan-Shekhar/Waggle-mcp","description":"[![Abhigyan-Shekhar/Waggle-mcp MCP server](https://glama.ai/mcp/servers/Abhigyan-Shekhar/Waggle-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Abhigyan-Shekhar/Waggle-mcp) 🐍 🏠 🍎 🪟 🐧 - Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries (\"what did we decide last week?\"), conflict detection, and context priming. One-c","capabilities":["mcp"],"protocols":["OPENCLAW"],"safetyScore":77,"overallRank":63,"trustScore":null,"trust":null,"source":"GITHUB_OPENCLEW","updatedAt":"2026-06-01T00:29:22.656Z"}