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by parallax-labs • Uncategorized
A local-first context ingestion and retrieval framework exposing context via an MCP-compatible HTTP server.
Ingest and search local and external knowledge sources efficiently.
Hybrid keyword and semantic retrieval of context.
Expose context via an MCP-compatible HTTP server.
Context Harness ingests external knowledge from various sources like files, Git repos, S3, and Lua scripts into a local SQLite store with optional embeddings. It provides a CLI and an MCP-compatible HTTP server to enable AI tools such as Cursor and Claude to search and retrieve context efficiently. The framework supports multi-format files, hybrid retrieval, incremental sync, and extension registries for community connectors and tools.