VNX VNX runs AI coding CLI workers in tmux, isolated git worktrees, through review gates, with an append-only NDJSON receipt per dispatch. It is a local control plane for the AI coding CLIs that already sit on your machine. One orchestrator dispatches work to ephemeral workers; each worker runs in its own git worktree; review gates decide what merges; every dispatch leaves a receipt. VNX drives , , , , and local with no vendor SDK. It calls the CLIs as subprocesses and never imports a provider library. Most agent projects build SDK-native agents. I orchestrate the binaries instead.
| Stars | 38 |
| Forks | 6 |
| Language | Python |
| Category | Claude 技能 |
| License | MIT |
| Quality Score | 47.356/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-17 |
| Created | 2026-01-19 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~17k |
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vnx-orchestration is Governance-first orchestration for Claude Code, Codex, and Gemini CLI — parallel workers, receipts, quality gates, and full provenance.. It is categorized as a Claude 技能 with 38 GitHub stars.
vnx-orchestration is primarily written in Python. It covers topics such as agent-orchestration, ai-agents, ai-coding.
You can find installation instructions and usage details in the vnx-orchestration GitHub repository at github.com/Vinix24/vnx-orchestration. The project has 38 stars and 6 forks, indicating an active community.
vnx-orchestration is released under the MIT license, making it free to use and modify according to the license terms.