archimedes-run / omniharness
OmniHarness is an open-source super agent harness that orchestrates sub-agents, persistent memory, and sandboxed execution to handle tasks that take minutes to hours — powered by extensible skills and MCP tools.
Code health
archimedes-run/omniharness scores 8.6 out of 10 on defect risk, which Repowise rates Excellent. 46 of 990 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 990
- Symbols
- 7.7k
- Modules
- 55
- Doc pages
- 0
- Dead exports
- 245
Where the risk concentrates
All 46 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| artifacts.pybackend/app/gateway/routers | 99.8th %ile | 3 | 1bus factor 1 | 9 |
| artifact-file-detail.tsxfrontend/src/components/workspace/artifacts | 99.9th %ile | 2 | 1bus factor 1 | 9 |
| test_artifacts_router.py |
Read more about archimedes-run/omniharness
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/archimedes-run/omniharness)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/archimedes-run/omniharness)How archimedes-run/omniharness works
OmniHarness is an open-source super agent harness that orchestrates sub-agents, persistent memory, and sandboxed execution to handle tasks that take minutes to hours — powered by extensible skills and MCP tools. This page is an auto-generated, always-fresh map of the archimedes-run/omniharness repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 990 source files, 7,745 symbols, and 10 languages, organised into 55 modules, led by python, typescript, markdown. Static analysis leaves 1,812 open findings across the three health dimensions.
Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.