Waggle Mcp
@Abhigyan-Shekhar
Waggle Mcp について
Here is a description you can use:
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"waggle-mcp": {
"command": "uvx",
"args": [
"waggle-mcp"
],
"env": {
"WAGGLE_BACKEND": "sqlite",
"WAGGLE_DB_PATH": "~/.waggle/memory.db"
}
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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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