Repowise · Codebase intelligence
fajarhide / omni
A smart context filter that removes noise, refines and enhances responses, also slashes token usage by up to 90%.
Languages
- rust53.4%
- toml24.3%
- markdown8.8%
- yaml4.7%
- shell3.4%
- json2.7%
- typescript1.4%
- makefile0.7%
Explore fajarhide/omni
Files, symbols, languages, packages, git intelligence
Interactive view of how files import each other
Files with the most churn and co-change risk
Bus-factor and per-file maintainer maps
Architectural decisions extracted from commits and PRs
Unreachable symbols and unused exports
Module-by-module documentation generated from source
Ask grounded questions over the indexed code
Key modules1
- typescript
openclaw
integrations/openclaw
Entry points4
integrations/openclaw/index.tssrc/lib.rssrc/main.rssrc/mcp/server.rs
How fajarhide/omni works
A smart context filter that removes noise, refines and enhances responses, also slashes token usage by up to 90%. This page is an auto-generated, always-fresh map of the fajarhide/omni repository, written primarily in Rust. Repowise indexes the source, parses every symbol, computes a dependency graph, 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 148 source files, 1,068 symbols, and 9 languages. Git churn analysis flags 21 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 80 tightly-coupled module communities.
Use the panels 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.