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- AlicenseNot gradedqualityCmaintenanceProvides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.5 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides coding agents with persistent graph-backed memory, storing decisions, reasons, and contradictions across sessions so conversations pick up where they left off.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceProvides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.MIT
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- AlicenseNot gradedqualityBmaintenanceProvides persistent, searchable memory across coding projects and machines, letting agents record and retrieve projects, reusable assets, sessions, decisions, commits, and handoffs via MCP.2Apache 2.0
TDQS
Scored across 23 tools
Each tool has a clearly distinct role: reads (search, resolve, traverse, aggregate, history), writes (prepare/commit), batch operations, and import. Although legacy direct-write tools overlap with the prepare/commit workflow, they are explicitly marked as legacy and direct agents to the new flow, eliminating ambiguity.
Most tools follow a consistent verb_noun pattern (create_record, search_records, get_record_history), but a few break the pattern with noun-first names like batch_read and batch_resolve_records, and aggregate stands alone as a bare verb. Minor deviation, still readable.
23 tools is on the higher side, but the scope is broad: collections, records, links, two-phase commits, batch operations, import, search, and audit. Six legacy tools duplicate the prepare/commit surface, adding weight, but the core tool set is still well-scoped for the domain.
The surface covers the full lifecycle: collection discovery and creation, record create/read/update/archive, linking/unlinking, resolution, search, aggregation, graph traversal, history, and atomic batch/import operations. The only apparent absence is permanent deletion, which seems intentional in an audit-focused system.