AG-UI vs OpenClaw
Side-by-side comparison of two AI agent tools
Short answer
- AG-UI is growing faster: +1,300 GitHub stars in the last 30 days vs +50 for OpenClaw.
- Pick AG-UI for: aG-UI: the Agent-User Interaction Protocol. Pick OpenClaw for: openClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config.
From GitHub data refreshed daily.
A
AG-UIopen-source
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
O
OpenClawopen-source
OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
Metrics
| AG-UI | OpenClaw | |
|---|---|---|
| Stars | 16.3k | 17.0k |
| Star velocity /mo | 1.3k | 50 |
| Commits (90d) | 1.7k | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 8.9M | — |
| Overall score | 0.8888673471059556 | 0.2389578676106601 |
FAQ
- Which is more popular, AG-UI or OpenClaw?
- OpenClaw has more GitHub stars (16,960 vs 16,275).
- Which is more actively developed, AG-UI or OpenClaw?
- AG-UI had more commits in the last 90 days (1,674 vs 0).
- Should I use AG-UI or OpenClaw?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.