A
licenseNot graded
qualityD
maintenanceProvides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.
105
Apache 2.0
local-brain-mcp
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TDQS
A4.1/5.0
Scored across 7 tools
Disambiguation4/5
Most tools have clearly distinct purposes: learn, recall, validate, status, and trace are easy to tell apart. However, brain_prune and brain_forget both involve removing memories, and brain_recall and brain_trace both retrieve memories, so an agent could occasionally hesitate between them.
Naming Consistency5/5
All tool names follow the same brain_ prefix plus a lowercase verb pattern, such as brain_learn, brain_recall, and brain_forget. The naming is highly consistent and predictable.
Tool Count5/5
Seven tools is a well-scoped size for a local memory management server. Each tool covers a meaningful operation without bloat, and the count feels appropriate for the domain.
Completeness4/5
The tool set covers the core memory lifecycle: create (brain_learn), read (brain_recall, brain_trace, brain_status), validate (brain_validate), and delete/deprecate (brain_forget, brain_prune). There is no direct way to edit an existing memory's content, but forgetting and relearning can work around that gap.
Maintenance
ActivityMaintained
ResponsivenessNo issues