Waggle-mcp

Abhigyan-Shekhar/Waggle-mcp
23 starsApache-2.0Community

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

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.

Overview

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.

Getting started

Add Waggle-mcp to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.

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