The context quality layer for AI agents
xinchen03/minta · productivity
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates.
★ 8GitHub stars
2Forks
2026-09-08Last updated
PythonLanguage
Apache-2.0License
Key features
- MemorySemantic search — POST /api/search (local-vector, per-user isolated, compact → full → pack disclosure): Auto-indexed on every write
- Local-firstdatabase, vectors and logs stay on your machine.
- Personalevery AI assistant, every session starts from a context hub that already understands you — stop re-onboarding your AI.
- The layers you see — research cockpit, expert infer, memory health — map to the engine tiers below
Install command
dsh plugin --profile web add github:xinchen03/minta