Runfusion

Runfusion / Fusion

Public

Multi node agent orchestrator - build faster and better

42
1
100% credibility
Found Apr 26, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Fusion is a multi-node agent orchestrator that automates the development process from rough ideas to production code using tasks, agents, missions, git worktrees, and AI models in an isolated environment with human approval gates.

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AI-Generated Review

What is Fusion?

Fusion is a TypeScript-based multi-node agent orchestrator that turns rough project ideas into production code via an AI-powered kanban board. Drop a task description like "add dark mode toggle," and agents triage it into a spec, execute in isolated git worktrees, review changes, and auto-merge—syncing across laptop, server, phone via a peer mesh. CLI commands like `fn task create` and a web dashboard handle everything from missions to agent companies.

Why is it gaining traction?

Unlike basic AI coders, Fusion's worktree isolation runs parallel tasks without conflicts, while multi-node sync lets you control one board from anywhere—desktop app, mobile, web. Import 440+ prebuilt agents from companies.sh, route to any model (Anthropic, Ollama, Pi), and add skills via `fn skills install`. Searches for github fusion essentials or fusion github minecraft show devs want this workflow automation over manual scripting.

Who should use this?

Indie hackers automating side project backlogs, TypeScript monorepo maintainers offloading routine features like auth or dark mode, or remote teams syncing AI agents across cloud VMs and local machines. Ideal if you're tired of context-switching between Trello, GitHub issues, and pi sessions.

Verdict

Early preview with 42 stars and 1.0% credibility—docs are solid, weekly shipping, but test lightly on non-critical repos until maturity grows. Strong for fusion solar app builders seeking github multi language readme-style extensibility; try `npx runfusion.ai` now.

(198 words)

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