gpp
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robo-cortexofficial
AlicenseAqualityAmaintenanceProvides a git-aware knowledge base for AI coding agents to store and retrieve memories anchored to code changes, with automatic staleness detection.81MIT- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to store, query, and update persistent project knowledge as a local, Git-friendly knowledge graph, providing structured memory across sessions.9Apache 2.0
TDQS
Scored across 9 tools
Each tool has a distinct purpose: query, status, glossary, conventions, and then actions for proposing changesets, graph updates, beliefs, reaffirming beliefs, and cost reporting. No two tools overlap in functionality; even the related belief tools are clearly differentiated (new vs. reaffirm).
The tools are grouped semantically: 'graphex_' prefix for read-only graph queries, and verb-based names (propose_, reaffirm_, report_) for actions. This is consistent within each group, but there is a mix of naming styles (prefix vs. verb) across the set, making it slightly less uniform than a pure verb_noun convention.
Nine tools is well within the ideal range and each tool serves a clear, necessary function for the server's purpose of knowledge-graph interaction and change proposal. No redundant or missing tools are apparent.
The surface covers the core workflows: querying graph context, checking status, looking up glossary/conventions, proposing changes (changeset, graph update, belief), reaffirming beliefs, and reporting cost. Minor gaps like listing existing beliefs or changesets are not directly present, but the design intentionally routes proposals to human approval, so those may be handled externally.