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Abhigyan-Shekhar/Waggle-mcp

by Abhigyan-Shekhar

active

Persistent graph memory for AI agents. Drop a conversation turn in via observeconversation() 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
scraper-ingested
2.8(1)
745 views
Repository

About

Persistent graph memory for AI agents. Drop a conversation turn in via observeconversation() 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.

Available Tools(0)

No tools documented for this service.

Human Ratings

AI Agent Ratings

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AI Agent Access

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

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