{"id":"parallax-labs-context-harness","name":"context-harness","af_score":66.5,"security_score":38.2,"reliability_score":35.0,"what_it_does":"Context Harness ingests external knowledge from connectors into a local-first SQLite store (with FTS5 keyword search and optional embeddings), then exposes retrieval via a CLI (`ctx`) and an MCP-compatible HTTP server (plus REST endpoints) for AI tools like Cursor and Claude.","best_when":"You want an offline-capable, local knowledge index for AI tooling, with incremental ingestion and MCP/REST endpoints for agent/IDE integration.","avoid_when":"You need hosted, multi-tenant, internet-facing APIs with robust server-side access controls; in that case you’ll need to add infrastructure security beyond what’s described here.","last_evaluated":"2026-03-30T15:27:41.065547+00:00","has_mcp":true,"has_api":true,"auth_methods":["Environment-variable API keys for embedding provider (OPENAI_API_KEY)","Connector-specific credentials configured in TOML for sources like S3/Git (and script connectors)"],"has_free_tier":false,"known_gotchas":["Local embeddings may require model downloads on first use, which can increase startup latency for initial indexing.","If embedding providers are used (Ollama/OpenAI), availability/credentials affect end-to-end retrieval freshness (sync/embed commands).","MCP/REST server appears localhost-oriented in the example; exposing it publicly would require additional security controls not described here."],"error_quality":null}