awslabs/cli-agent-orchestrator
1 qualified needInterface & rendering (1)
- [BUG] Prompt is not always returned after agents receive messages8 comments · 0 reactions
awslabs/cli-agent-orchestrator vs 777genius/agent-teams-ai
Compare current project strength and the unmet needs people are actually discussing on GitHub. No paid placement influences this comparison.
777genius/agent-teams-ai has the stronger current discovery signal, driven by the score components shown below.
awslabs/cli-agent-orchestrator is categorized as Coding; 777genius/agent-teams-ai is categorized as Coding. Compare their product descriptions and source repositories before choosing.
| Signal | awslabs/cli-agent-orchestrator | 777genius/agent-teams-ai |
|---|---|---|
| Radar Score | 84/100 | 89/100 |
| Adoption | 18/25 | 19/25 |
| Maintenance | 20/20 | 20/20 |
| Project quality | 20/20 | 20/20 |
| Agent relevance | 20/20 | 20/20 |
| Demand evidence | 6/10 | 10/10 |
| Observed momentum | 0/5 | 0/5 |
| GitHub stars | 1,458 | 2,288 |
| Category | Coding | Coding |
| Qualified unmet needs | 1 | 3 |
| Leading problem patterns | Interface & rendering (1) | Product Capability workflows (2), Multi-user & team routing (1) |
777genius/agent-teams-ai
3 qualified needsProduct Capability workflows (2), Multi-user & team routing (1)
- [FEAT] Multiple Claude Accounts5 comments · 1 reactions
- [FEAT] oMo native support3 comments · 1 reactions
- [FEAT] For opencode, could we have a option of instead of choosing model for team members, choosing agent for each team members.3 comments · 1 reactions
awslabs/cli-agent-orchestrator
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
Full analysis777genius/agent-teams-ai
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/GitHub/Kiro/Z.AI/Xiaomi/MiniMax/Kimi(300+ models, 200+ LLM providers, free models no auth) Build your AI company with multiple teams
Full analysisTest the need you understand best
A stronger repository is not automatically a stronger business. Open the leading GitHub need, speak to affected users and let behavioral evidence decide.
Transparent scoring
Adoption (25 points) uses stars and forks, maintenance (20) uses code activity, quality (20) checks license and metadata, relevance (20) checks agent focus, demand (10) uses open Issues, and momentum (5) uses star growth.