A
licenseNot graded
qualityB
maintenanceProvides AI agents a shared long-term memory layer with evidence-backed, auditable claims, enabling persistent, explainable, and conflict-aware recall across sessions.
8
MIT
memorygraph
by xbrxr03
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Particlesofficial
AlicenseAqualityBmaintenanceMemory for AI agents that keeps every claim with the source it came from, the date it was asserted, and a confidence you can re-weight per source, so your agent can say where a fact came from. Updates supersede or retract instead of overwriting, so you can replay what the store believed on any past date and review contradictions as lint findings.16569 PyPI4Apache 2.0- AlicenseNot gradedqualityBmaintenanceEnables agents to record facts with declared sources, search or list current and superseded memories, and correct entries while preserving version history and rejecting stale writes.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to maintain long-term, cross-session memory by extracting facts, reconciling state conflicts, and retrieving relevant memories via vector search.4MIT
TDQS
A3.6/5.0
Scored across 5 tools
Disambiguation5/5
Each tool targets a distinct operation: explain (query graph), recall (retrieve observations), record (store), correct (update claims), forget (delete). No overlapping purposes, and descriptions clearly separate them.
Naming Consistency5/5
All tool names are single lowercase verbs, creating a uniform and predictable pattern. This consistency makes it easy to infer the action each tool performs.
Tool Count5/5
Five tools is well-scoped for a memory graph server, covering core operations without redundancy. Each tool addresses a necessary part of the memory lifecycle.
Completeness4/5
The set covers record, recall, correct, forget, and explain, which covers full CRUD-like operations on claims and observations. Minor gaps like explicit listing or bulk operations exist but are not critical for core usage.
Maintenance
ActivityStale
ResponsivenessNo recent community issues