Agent Orchestrator vs LobeHub
Side-by-side comparison of two AI agent tools
A
Agent Orchestratoropen-source
Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents.
L
LobeHubopen-source
π€― LobeHub is your Chief Agent Operator, organizing your agents into 7Γ24 operations by hiring, scheduling, and reporting on your entire AI team.
Metrics
| Agent Orchestrator | LobeHub | |
|---|---|---|
| Stars | 12.6k | 82.9k |
| Star velocity /mo | 1.0k | 6.9k |
| Commits (90d) | 1.4k | 2.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.816540862746164 | 0.9378854384961148 |
FAQ
- Which is more popular, Agent Orchestrator or LobeHub?
- LobeHub has more GitHub stars (82,928 vs 12,571).
- Which is more actively developed, Agent Orchestrator or LobeHub?
- LobeHub had more commits in the last 90 days (2,461 vs 1,429).
- Should I use Agent Orchestrator or LobeHub?
- 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.