Contextful
JSON →Highly efficient context management for agentic AI: MCP code search, evidence packs, graph context, and memory for large projects.
Install
npx -y @inferensys/contextful Tools · 7
- context_pack Returns a ranked, cited, token-budgeted bundle of context for a query, scope, and budget.
- search_code Powerful code, docs, symbol, and memory search with query, mode, and filters.
- trace_path Graph traversal across files, symbols, modules, and config from one node to another.
- impact_analysis Reverse dependencies and likely tests for a symbol or file.
- why_changed Current evidence plus git history for a symbol or file.
- recall_memory Search session learnings and durable project lessons by query and scope.
- write_lesson Store an evidence-backed memory with claim, evidence refs, and scope.
Links
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