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Waggle Mcp

@Abhigyan-Shekhar

代码仓库

关于 Waggle Mcp

Here is a description you can use:

基本信息

分类

其他

传输方式

stdio

发布者

Abhigyan-Shekhar

提交者

abhigyan sinha

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

评论

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