meta-agents-research-environments svngoku · PARTIAL
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
github.com/svngoku/meta-agents-research-environments · ★ 0 · Forks 0 · Size 20.9 MB
SUMMARY
Technologies 28
Scored 27
Observed 27
Practices 6
Evidence 30
Skips 1
COVERAGE
Analyzed 650 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
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Dockerfile LANGUAGE Depth 70
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JavaScript LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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TOML LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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uv BUILD_TOOL Depth 80
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pip BUILD_TOOL Depth 80
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Poetry BUILD_TOOL Depth 80
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npm BUILD_TOOL Depth 80
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Click LIBRARY Depth 74
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ESLint QUALITY Depth 69
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FastAPI FRAMEWORK Depth 58
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Jinja2 LIBRARY Depth 62
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NumPy LIBRARY Depth 62
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Prettier QUALITY Depth 76
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Pydantic LIBRARY Depth 74
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React FRAMEWORK Depth 74
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Requests LIBRARY Depth 66
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Starlette FRAMEWORK Depth 62
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Uvicorn LIBRARY Depth 58
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Vite BUILD_TOOL Depth 58
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Vitest TESTING Depth 70
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pandas LIBRARY Depth 58
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pytest TESTING Depth 53
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python-dotenv LIBRARY Depth —
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · observed
ACTIVITY & OWNERSHIP
First commit 2025-09-22
Last commit 2025-09-22
Active months 1
Commits 2