← Back to radarINDEPENDENT SIDE-BY-SIDEdarrenhinde/OpenAgentsControl 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.
RADAR VERDICT777genius/agent-teams-ai has the stronger current discovery signal, driven by the score components shown below.
darrenhinde/OpenAgentsControl is categorized as Coding; 777genius/agent-teams-ai is categorized as Coding. Compare their product descriptions and source repositories before choosing.
| Signal | darrenhinde/OpenAgentsControl | 777genius/agent-teams-ai |
|---|
| Radar Score | 85/100 | 91/100 |
|---|
| Adoption | 21/25 | 19/25 |
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| Maintenance | 17/20 | 20/20 |
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| Project quality | 17/20 | 20/20 |
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| Agent relevance | 20/20 | 20/20 |
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| Demand evidence | 10/10 | 10/10 |
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| Observed momentum | 0/5 | 2/5 |
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| GitHub stars | 4,880 | 2,167 |
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| Category | Coding | Coding |
|---|
| Qualified unmet needs | 3 | 3 |
|---|
| Leading problem patterns | Context & memory boundaries (2), Setup & configuration (1) | Context & memory boundaries (1), Multi-user & team routing (1), Runtime & deployment environments (1) |
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darrenhinde/OpenAgentsControl
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode
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 Copilot/Kiro/Z.AI/MiniMax/Kimi(300+ models, 200+ LLM providers, free models no auth) Build your AI company with multiple teams
Full analysis FROM COMPARISON TO ACTIONTest 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.