metis alexar76 · PARTIAL
Metis (μῆτις) — distributed cognitive layer over any LLM. Understanding Council → confidence gate (fail-closed) → layered MoA → verifier-with-retry, with DGPD depth gating, memory, economy metering, and an OpenAI-compatible API. A loosely-coupled ecosystem peer: runs fully standalone; every ecosystem hook is optional.
github.com/alexar76/metis · ★ 2 · Forks 1 · Size 1.8 MB
SUMMARY
Technologies 18
Scored 17
Observed 17
Practices 6
Evidence 19
Skips 1
COVERAGE
Analyzed 322 files · 41 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
9 files · PRODUCTION
JavaScript LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
10 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
83 files · PRODUCTION
YAML LANGUAGE Depth 70
29 files · PRODUCTION
Python LANGUAGE Depth 70
154 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 78
16 files · PRODUCTION, TEST
HTTPX LIBRARY Depth —
0 files · config only
PostgreSQL DATABASE Depth 69
2 files · CONFIGURATION
Pydantic LIBRARY Depth 78
13 files · PRODUCTION, TEST
Redis CACHE Depth 77
4 files · CONFIGURATION
Starlette FRAMEWORK Depth 66
3 files · PRODUCTION
Uvicorn LIBRARY Depth 66
3 files · PRODUCTION
pytest TESTING Depth 74
34 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-11
Last commit 2026-09-27
Active months 3
Commits 41