Solid Search Engine
Classifies each query and combines FTS, symbols, docs, graph expansion, and deterministic reranking.
MCP context layer for coding agents
Highly efficient context management for Codex, Claude Code, Cursor, Windsurf, GitHub Copilot, VS Code, Cline, Roo Code, Continue, and Zed.
context_pack("where are MCP tools registered", budget: 600)
7 cited hits across 2 files
saved roughly 18 tool calls
returned a token-budgeted evidence pack
ready for follow-up trace, impact, and memory queries
Classifies each query and combines FTS, symbols, docs, graph expansion, and deterministic reranking.
Stores files, chunks, symbols, graph nodes, graph edges, fingerprints, packs, and memory in SQLite.
Agents can store lessons only when they cite valid evidence from files, symbols, or prior context packs.
npx @inferensys/contextful index --workspace . npx @inferensys/contextful query "where is auth handled" --workspace .
codex mcp add contextful -- \ npx -y @inferensys/contextful server
Use context_pack as the primary agent tool. It returns ranked, cited, token-budgeted evidence instead of forcing dozens of random file reads.