A
licenseA
qualityC
maintenancePersistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings with keyword fallback. Tools: remember, recall, history, forget, stats.
17
37 npm
1
MIT
amnesic
by SurajKGoyal
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TDQS
A4.7/5.0
Scored across 12 tools
Disambiguation5/5
Each tool has a clear, distinct purpose. There is no overlap: annotation management (annotate, deprecate, forget), schema retrieval (get_schema, list_tables), querying (query), searching (search), relationship discovery (discover_relationships, get_relationships), drift detection (detect_drift), and knowledge sync (sync_knowledge) are all separate concerns.
Naming Consistency5/5
All tools follow the consistent pattern `db_<verb>_<noun>` using snake_case. The verbs are descriptive and indicate the action (e.g., annotate, query, list_tables). No mixing of conventions or vague names.
Tool Count5/5
With 12 tools, the server is well-scoped for a database knowledge management system. Each tool serves a necessary function in the lifecycle of schema understanding, annotation, querying, and maintenance. Not overloaded nor sparse.
Completeness4/5
The tool set covers the core workflow: connection listing, table discovery, schema retrieval, querying, annotation CRUD (annotate, deprecate, forget), relationship discovery, drift detection, and knowledge sync. Missing a direct tool to view all annotations in isolation, but schema retrieval and search provide access.
Maintenance
ActivityActive
ResponsivenessSlow