A
licenseNot graded
qualityA
maintenanceStructured, versioned context for AI agents. Context Nest organizes knowledge as markdown documents in a vault, with versioning, integrity verification, and a query language.
17
AGPL 3.0
Context Forge
by Radics
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TDQS
A3.5/5.0
Scored across 7 tools
Disambiguation4/5
Tools are mostly distinct: get_context and search_context both retrieve context but are differentiated by task-scoping vs. searching. checkpoint_status and sync_status are both status checks but cover different system aspects, so ambiguity is low overall.
Naming Consistency4/5
Most tools follow a clear verb_noun pattern (get_context, write_handoff, record_fact). checkpoint_status and sync_status deviate slightly as they are noun-like status queries, but the naming remains consistent in style and predictable.
Tool Count5/5
With 7 tools, the server is well-scoped for its purpose of context and handoff management. Each tool covers a distinct functional area, and the count is neither sparse nor bloated.
Completeness4/5
The tool set covers core operations: retrieving context, searching, getting runbooks, writing handoffs, recording facts, and checking status. Minor gaps include no update or delete operations for facts or contexts, but the primary lifecycle for the domain appears covered.
Maintenance
ActivitySlowing
ResponsivenessNo issues