A
licenseNot graded
qualityD
maintenanceEnables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.
6 npm
MIT
Personal Agent Memory MCP
by Oceankj
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TDQS
B3.2/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely distinct purposes: one stores a turn for potential durable memory, the other retrieves context. There is no ambiguity between writing and reading operations.
Naming Consistency5/5
Both tool names follow the consistent verb_noun pattern: ingest_turn and get_context. The naming is clear and predictable.
Tool Count3/5
With only 2 tools, the server is on the thin side for a full memory system, but it covers the basic store/retrieve workflow. It feels borderline for its stated purpose.
Completeness2/5
The memory domain typically requires update, delete, and list operations in addition to ingest and retrieve. The absence of these leaves significant gaps that could hinder agents needing to manage durable memory effectively.
Maintenance
ActivityActive
ResponsivenessNo issues