Persistent graph-backed conversational memory for AI agents.
Persistent graph-backed conversational memory for AI agents.
Persistent memory that remembers decisions, reasons, and contradictions across sessions.
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| Tool | What it does |
|---|---|
| observe_conversation | After any turn containing a decision, preference, constraint, correction, or project fact. Persists the verbatim turn first, then extracts graph nodes. Returns turn_id, verbatim_stored, nodes_extracted, edges_inferred. |
| query_graph | Before answering questions that may depend on prior context. Hybrid retrieval (graph + verbatim transcript) by default. Supports as_of for point-in-time queries. |
| prime_context | At the start of a new session to hydrate context from the most relevant scoped memories. |
| graph_diff | When the user asks what changed recently. |
| update_node | Update an existing node's content, label, or tags. |
| delete_node | Delete a node and all its edges. |
| decompose_and_store | Break long content into atomic nodes and infer edges automatically. |
| dedup_candidates | Return near-duplicate node pairs above a similarity threshold for human review. |
| canonicalize_node | Merge multiple nodes into one canonical node. Repoints all edges, collects aliases. Idempotent. |
| edge_quality_report | Audit edge quality — counts, average confidence per type, top/bottom confidence edges. |
| debug_retrieval | Diagnose retrieval ranking for a query — embedding scores, window routing, tiered vs flat comparison. |
{
"mcpServers": {
"waggle": {
"command": "waggle-mcp",
"args": ["serve"],
"env": {
"WAGGLE_TRANSPORT": "stdio",
"WAGGLE_BACKEND": "sqlite",
"WAGGLE_DB_PATH": "~/.waggle/waggle.db",
"WAGGLE_DEFAULT_TENANT_ID": "local-default",
"WAGGLE_MODEL": "all-MiniLM-L6-v2",
"WAGGLE_STARTUP_MODE": "normal"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| WAGGLE_TRANSPORT | Configuration value read at startup. | Optional |
| WAGGLE_BACKEND | Configuration value read at startup. | Optional |
| WAGGLE_DB_PATH | Filesystem location the server is allowed to use. | Optional |
| WAGGLE_DEFAULT_TENANT_ID | Configuration value read at startup. | Optional |
| WAGGLE_MODEL | Configuration value read at startup. | Optional |
| WAGGLE_STARTUP_MODE | Configuration value read at startup. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
[该MCP服务提供全面的招投标信息查询功能，包括中标统计、招标统计、采购统计、招投标信息查询、拟建项目查询等，帮助用户进行招投标分析和市场机会发现。](https://www.handaas.com/)
AI coding agents waste 40-80% of their tokens on discovery — grepping through files, reading irrelevant code, and rebuilding context they've already seen in previous sessions.
Enables AI-assisted debugging by providing a Model Context Protocol (MCP) server for GDB interaction.
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