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Waggle Mcp

@Abhigyan-Shekhar

About Waggle Mcp

Here is a description you can use:

Basic information

Category

Other

Transports

stdio

Publisher

Abhigyan-Shekhar

Submitted by

abhigyan sinha

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "waggle-mcp": {
      "command": "uvx",
      "args": [
        "waggle-mcp"
      ],
      "env": {
        "WAGGLE_BACKEND": "sqlite",
        "WAGGLE_DB_PATH": "~/.waggle/memory.db"
      }
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Waggle Mcp?

Waggle Mcp gives AI agents persistent graph memory across sessions. It automatically extracts, deduplicates, and stores facts as typed graph nodes with semantic embeddings, running fully locally without an API key.

How to use Waggle Mcp?

Set up with the single command waggle-mcp init. Then drop conversation turns into Waggle Mcp; facts are automatically extracted and stored for later retrieval.

Key features of Waggle Mcp

Persistent graph memory across sessions
Automatic fact extraction and deduplication
Typed graph nodes with semantic embeddings
Temporal query support ("what did we decide last week?")
Conflict detection and context priming
Fully local, no API key required

Use cases of Waggle Mcp

Maintain coherent long-term memory for AI assistants
Retrieve past decisions or facts via temporal queries
Provide context priming for ongoing conversation turns
Detect and resolve conflicting facts across sessions

FAQ from Waggle Mcp

Does Waggle Mcp require an API key?

No, Waggle Mcp runs fully locally and does not require any API key.

How is Waggle Mcp set up?

It uses a one-command setup: run waggle-mcp init to get started.

Can Waggle Mcp answer temporal queries?

Yes, it supports temporal queries such as "what did we decide last week?".

What happens to duplicate facts?

Facts are automatically deduplicated during storage.

What type of memory does Waggle Mcp use?

It uses persistent graph memory with typed nodes and semantic embeddings.

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