Persistent graph memory system for AI agents that auto-extracts facts from conversations and stores them as typed graph nodes with local semantic embeddings, enabling temporal queries without API keys.
Waggle MCP is a persistent graph memory solution designed for AI agents that automatically extracts and organizes information from conversations. It converts conversation turns into structured knowledge by identifying facts and storing them as typed nodes in a knowledge graph, enabling intelligent recall and temporal reasoning.
Install the Waggle MCP server from the GitHub repository. The tool integrates with Claude and other AI platforms via the Model Context Protocol (MCP). Simply drop conversation turns into the observe_conversation() function and the system automatically handles fact extraction and storage. No API keys are required as embeddings are computed locally.
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