minta
xinchen03
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 19 tools, DeepSeek Harness plugin.
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3projects include this topic
The "retrieval-augmented-generation" topic on GitHub groups 3 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by minta with 5 GitHub stars. minta — The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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xinchen03
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 19 tools, DeepSeek Harness plugin.
A local knowledge pulgin for DeepSeek Harness
mervyn-teo
No project description provided for this repository yet.