by jigjoy-ai · Agent Tool · ★ 85
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baro Type a goal in your repo. Walk away. Come back to a pull request. baro TUI at the end of an actual run — one prompt → 33-story DAG → 32 files modified → PR opened. The summary panel shows wall time (33:23), parallel speedup (2.2×), token usage, and the PR URL. Parallel coding agents, no central coordinator Most multi-agent setups have one orchestrator function in the middle that drives N agents. The orchestrator becomes the bottleneck the moment you push past a handful of concurrent agents — and adding a new behaviour means editing its control flow. baro doesn't have that shape. Every part of the run is an independent participant on a shared event bus (Mozaik). N parallel story agents are N independent subprocesses, each emitting and consuming typed events. There is no central to bottleneck on, and adding a new behaviour is a new participant — not an orchestrator rewrite. mermaid flowchart LR subgraph A["Typical multi-age
| Stars | 85 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 61.6872384528361/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-02 |
| Created | 2026-03-22 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~17k |
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baro is CLI that turns a goal into a pull request. Parallel AI coding agents on a Mozaik event bus.. It is categorized as a Agent Tool with 85 GitHub stars.
baro is primarily written in TypeScript. It covers topics such as agentic-coding, ai-coding-agent, ai-developer-tools.
You can find installation instructions and usage details in the baro GitHub repository at github.com/jigjoy-ai/baro. The project has 85 stars and 9 forks, indicating an active community.
The top alternatives to baro on Agent Skills Hub include genie, ralph-starter, golembot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.