We Built a Multiverse Version Control System in Rust for Parallel AI Swarms

说明与用途

Draft 是基于 Rust 的多维版本控制系统，支持 5–10 个自治 AI 代理并发工作，消除磁盘膨胀、盲目冲突和锁竞争，提供即时工作区创建和内存中合并预测。

问题

Traditional Git’s single‑tree model breaks when 5–10 autonomous AI coding agents work concurrently on the same repository, causing disk bloat, blind collisions, and serial lock contention.

结果

Draft achieves 21–23× faster workspace creation, 96–97% disk savings, and 10–11× faster concurrent commits compared to Git and Jujutsu, while eliminating lock contention and enabling real‑time conflict awareness for AI agents.

工作流

• Register agent with dft agent register
• Create a new dimension dft dimension create <id>/<task_name>
• Use dft radar to view active hot zones
• Claim a file dft claim <file_path>
• Make changes, add and commit dft add . && dft commit -m "feat: ..."
• Run dft foresee <dimension> mainline to predict merge conflicts
• Converge back to mainline dft converge <dimension> mainline
• Yield the file dft yield <file_path>

证据

Spawning an isolated 10,000‑file workspace completes in single‑digit milliseconds and consumes 0 KB of additional physical disk until a byte is actually modified.

来源

10 Parallel Commits (Wall Clock): Git 1,392.36 ms, Jujutsu 537.41 ms, Draft 129.42 ms (10.8x faster).

来源