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io.github.Abhigyan-Shekhar/Waggle-mcp

io.github.Abhigyan-Shekhar/Waggle-mcp·v0.1.8·Memory & RAG

Persistent graph-backed conversational memory for AI agents.

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

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Environment variables
WAGGLE_TRANSPORT

Transport mode for the MCP server.

WAGGLE_BACKEND

Backend database type: sqlite for local use or neo4j for service deployments.

WAGGLE_DB_PATH

Path to the SQLite memory database when WAGGLE_BACKEND is sqlite.

WAGGLE_DEFAULT_TENANT_ID

Default tenant ID for local or shared memory isolation.

WAGGLE_MODEL

Sentence-transformers model used for local embeddings.

MCP quality score · maturity, not trust · methodology
freshness
23
completeness
10
installability
25
documentation
15
stability
5
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