lalulali / vespyr
A platform-agnostic, file-based multi-agent engine. Install 20 specialized AI personas directly into your repository. They plan, design, build, review, test, and ship — with structured memory that persists across sessions and two architectural moats no other framework combines.
Code health
lalulali/vespyr scores 8.9 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.3 out of 10. Static performance risk scores 9.7 out of 10. The three are scored separately and never blended into a single number. 7 of 391 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 391
- Symbols
- 380
- Modules
- 7
- Doc pages
- 66
- Dead exports
- 0
Where the risk concentrates
All 7 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 |
|---|---|---|---|---|
| cli.jsbin | 97.9th %ile | 2 | 1bus factor 1 | 26 |
| orchestrator_state.js.agents/scripts | 95.7th %ile | 0 | 1bus factor 1 | 10 |
| test_cli.jstests |
Read more about lalulali/vespyr
- 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/lalulali/vespyr)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/lalulali/vespyr)How lalulali/vespyr works
A platform-agnostic, file-based multi-agent engine. Install 20 specialized AI personas directly into your repository. They plan, design, build, review, test, and ship — with structured memory that persists across sessions and two architectural moats no other framework combines. This page is an auto-generated, always-fresh map of the lalulali/vespyr repository, written primarily in JavaScript. 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 391 source files, 380 symbols, and 6 languages, organised into 7 modules, led by markdown, javascript, json. Static analysis leaves 522 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.