{"id":"context-engine","name":"Context Engine","af_score":60.5,"security_score":45.0,"reliability_score":null,"what_it_does":"An open-core, self-improving code search platform that indexes codebases into vector embeddings and exposes semantic search via MCP servers. Uses ONNX embeddings, Qdrant vector DB, Redis cache, and an adaptive reranking system that learns from usage patterns. Provides two MCP endpoints: a memory server and an indexer server.","best_when":"You have large codebases and want AI agents to find semantically relevant code with citations, and you are comfortable running a multi-service stack (vector DB, embeddings, cache).","avoid_when":"Your codebase is small enough for simple text search, or you need a lightweight single-binary solution. The BUSL-1.1 license may also restrict commercial use.","last_evaluated":"2026-03-01T09:50:05.436016+00:00"}