A
licenseNot graded
qualityB
maintenanceProvides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.
MIT
Memory MCP
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TDQS
A4/5.0
Scored across 10 tools
Disambiguation4/5
Most tools have clear, distinct purposes: brief loads the full context, recall searches broadly, gotchas/conventions retrieve specific types, and gotcha/convention/learn/prefer add different kinds of knowledge. The overlap between recall and the focused retrieval tools is intentional and described, but the singular/plural pairs (convention vs. conventions, gotcha vs. gotchas) could cause misselection if the agent does not read descriptions carefully.
Naming Consistency2/5
Tool names follow no consistent pattern. Some are verbs (brief, recall, learn, prefer, fix), some are plural nouns used for retrieval (gotchas, conventions), some are singular nouns used for adding (gotcha, convention), and one is a compound (memory_bootstrap). This mix of conventions makes the naming unpredictable.
Tool Count5/5
With 10 tools, the set is well-scoped for a memory/knowledge server. Each tool covers a necessary function: adding knowledge (four types), retrieving it (three approaches), fixing entries, and bootstrapping a project. The count feels appropriate and not bloated.
Completeness4/5
The tool surface covers the full lifecycle of memory: create (gotcha, convention, learn, prefer), read (brief, recall, gotchas, conventions), update/delete (fix), and initialization (memory_bootstrap). The only minor gap is that there is no dedicated list tool for 'learn' or 'prefer' entries, but recall and brief surface them adequately.
Maintenance
ActivityInactive
ResponsivenessNo issues