neo
Enables continuous runtime application improvement through autonomous AI agents, reducing manual debugging and maintenance overhead while maintaining system …
Neo.mjs is an open-source JavaScript frontend framework (npm: neo.mjs) for multi-window, high-throughput applications — trading platforms, IDE-class tools, control-room dashboards. The project also runs a multi-model AI 'agent OS' on its own repository (Claude, Gemini, and GPT agents sharing memory) and documents how to point that agent team at your own fork. It is a web framework with AI-assisted development tooling, not a Claude Code skill or plugin.
- Ask Claude to analyze Neo.mjs architecture and identify optimization opportunities in your application.
- Generate performance monitoring dashboards using Neo's self-healing capabilities for production systems.
- Automate cross-model AI swarm coordination to parallelize complex development tasks across teams.
Enables continuous runtime application improvement through autonomous AI agents, reducing manual debugging and maintenance overhead while maintaining system stability via self-healing capabilities.
Engineering teams managing complex applications requiring autonomous optimization and incident recovery without constant human intervention.
By neomjs
How to Get It
npx neo-app@latest
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Analyze Neo.mjs architecture and identify optimization opportunities in my application
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News
- Show HN: Neo.mjs – Webworker-driven UI framework — Hacker News · 54 pts
- Neo.mjs – Webworker-driven UI framework — Hacker News · 50 pts
- Show HN: The webworkers driven UI framework has officially ended the Beta phase — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 3,195 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 3,195 GitHub stars; contributors unknown; last commit 0d ago; license MIT.