INDEPENDENT SIDE-BY-SIDE

777genius/agent-teams-ai vs jmagly/aiwg

Compare current project strength and the unmet needs people are actually discussing on GitHub. No paid placement influences this comparison.

RADAR VERDICT

777genius/agent-teams-ai has the stronger current discovery signal, driven by the score components shown below.

777genius/agent-teams-ai is categorized as Coding; jmagly/aiwg is categorized as Coding. Compare their product descriptions and source repositories before choosing.

Signal	777genius/agent-teams-ai	jmagly/aiwg
Radar Score	91/100	82/100
Adoption	19/25	13/25
Maintenance	20/20	20/20
Project quality	20/20	20/20
Agent relevance	20/20	20/20
Demand evidence	10/10	9/10
Observed momentum	2/5	0/5
GitHub stars	2,167	211
Category	Coding	Coding
Qualified unmet needs	3	2
Leading problem patterns	Context & memory boundaries (1), Multi-user & team routing (1), Runtime & deployment environments (1)	Product Capability workflows (1), Retrieval & knowledge quality (1)

TRACEABLE GITHUB DEMAND

777genius/agent-teams-ai

3 qualified needs

Context & memory boundaries (1), Multi-user & team routing (1), Runtime & deployment environments (1)

[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
[FEAT] Run web ui on dedicated cloud3 comments · 0 reactions
[FEAT] Optionally (maybe even by default): each team has a unique context in each project8 comments · 0 reactions

Full project evidence

TRACEABLE GITHUB DEMAND

jmagly/aiwg

2 qualified needs

Product Capability workflows (1), Retrieval & knowledge quality (1)

feat(storage): implement versioned checksum-backed offline and online migration5 comments · 0 reactions
feat(fortemi): certify Fortemi Server as the first-class scale-out backend4 comments · 0 reactions

Full project evidence

777genius/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

jmagly/aiwg

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

Full analysis

FROM COMPARISON TO ACTION

Test 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.

Test 777genius/agent-teams-ai's strongest need Test jmagly/aiwg's strongest need

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.