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Abhigyan-Shekhar/Waggle-mcp

by Abhigyan-Shekhar

active

[![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

AI & LLM Tools
mcp
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[![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-command setup with `waggle-mcp init`. SQLite locally, Neo4j in production.

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Endpoint URL

https://github.com/Abhigyan-Shekhar/Waggle-mcp

Transport

Stdio (subprocess)

Auth Method

None

Protocol Version

Not specified

MCP Config Snippet

{
  "mcpServers": {
    "abhigyan-shekharwaggle-mcp": {
      "url": "https://github.com/Abhigyan-Shekhar/Waggle-mcp"
    }
  }
}

Service Details

Protocol
—
Pricing
free