隐私与广告选择
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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(200+ models, 75+ LLM providers, free models no auth). Build your AI company with multiple teams
这个仓库详情页已经具备足够的原创分析、来源证据和同类对比，可以作为 Git-Stars 的可索引评测页。
100
评测分
解决的问题
It solves the coordination overhead of managing multiple AI agents by providing a structured team framework with role assignment, autonomous task execution, and peer review, unlike single-agent tools or manual multi-agent setups. It also eliminates the need for API keys or signups for initial use, lowering the barrier to entry.
部署现实
当前可用的安装信号是：Download the appropriate installer for your OS from the GitHub releases page (e.g., macOS .dmg, Windows .exe, Linux .AppImage).。这只能作为起点，正式使用前建议让 Codex 或 Claude 检查 README、环境变量、运行时版本和部署目标。
商业可用性
当前记录的许可证是 AGPL-3.0。这是重要的商业使用信号，但仍应核验许可证全文、依赖许可证、模型/API 条款和商标限制。
能力上限
Developers can build multi-agent coding workflows, project management pipelines, and automated review systems where agents act as team members with specific roles (e.g., coder, reviewer). Real-world use cases include autonomous code generation with built-in code review, multi-step project execution with agent-to-agent communication, and integrating diverse LLM providers in a single orchestrated environment. The ceiling includes creating entire AI-driven organizations with multiple teams, budget tracking, and complex task dependencies.
Git-Stars 是独立产品，不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成，依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。
777genius/agent-teams-ai 被追踪为 TypeScript 项目，主要属于 AI Agent, Automation, MCP Server, LLM Tool, AI App 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则，而不是复制项目文档。
增长检查：该仓库目前有 1.7k Star，今日 +46，本周 +0，本月 +0。这些窗口用于区分持续采用信号和短期曝光峰值。
维护检查：当前活跃度为 一般；最近一次推送距今 78 天，未关闭 Issue 为 17，约占总 Star 的 0.98%。这只是采用信号，不替代工程尽调。
采用检查：303 Fork 和 1.7k Watcher 反映项目被复用和关注的程度。许可证信号：AGPL-3.0。商业或内部使用前请核验许可证兼容性。
适用判断：当你需要「AI 原型、LLM 工作流和 Agent 类应用」时，这个项目更值得评估；如果「需要法律审查、安全审计或生产 SLA 保证」，则需要谨慎。
来源检查：Git-Stars 当前为这份报告保留了 2 个明确来源引用，近期增长信号为 46。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。
原创分析
充分已经具备问题、能力和结论层面的原创判断。
来源
充分已附带仓库元数据和 README/来源引用。
许可证
充分已记录 AGPL-3.0，可作为评估依据。
维护
充分仓库元数据中可以看到近期活跃信号。
同类对比
充分已有足够相近项目用于对比。
热度
1.7k 星标
复用
303 复刻
关注
1.7k 关注者
维护
moderate
许可证
AGPL-3.0
未解决 Issue
17
Agent Teams AI is a free desktop app for managing AI agent teams. It supports multiple AI providers (Claude Code, Codex, OpenCode, Cursor, etc.) and offers a visual workspace for task management, code review, and team collaboration.
核心特性
- Supports multiple AI providers and models (Claude Code, Codex, OpenCode, Cursor, SuperGrok, GitHub Copilot, etc.) with no signup required for free models. - Provides a Kanban board, task detail views, execution logs, code review with file-level controls, and organization hierarchy management. - Includes built-in analytics for token usage, costs, and budget tracking, plus notification settings and triggers.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
Automation
Workflow automation, integration glue, and orchestration
MCP Server
Model Context Protocol servers, clients, and integrations
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
AI App
End-user AI applications and AI-native product examples
Download the appropriate installer for your OS from the GitHub releases page (e.g., macOS .dmg, Windows .exe, Linux .AppImage).63
健康评分
一般
提交活跃度
Feb 21, 2026
创建于
Jul 28, 2026
最近提交
每日同步积累数据后，Star 历史将在此显示。
复刻
未解决
关注者
777genius
GitHub 主页openclaw/openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
obra/superpowers
An agentic skills framework & software development methodology that works.
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
NousResearch/hermes-agent
The agent that grows with you
mattpocock/skills
Skills for Real Engineers. Straight from my .agents directory.
✓
许可证
✓
Fork 情况
~ 一般
维护情况
解决的问题
It solves the coordination overhead of managing multiple AI agents by providing a structured team framework with role assignment, autonomous task execution, and peer review, unlike single-agent tools or manual multi-agent setups. It also eliminates the need for API keys or signups for initial use, lowering the barrier to entry.
能力范围
Developers can build multi-agent coding workflows, project management pipelines, and automated review systems where agents act as team members with specific roles (e.g., coder, reviewer). Real-world use cases include autonomous code generation with built-in code review, multi-step project execution with agent-to-agent communication, and integrating diverse LLM providers in a single orchestrated environment. The ceiling includes creating entire AI-driven organizations with multiple teams, budget tracking, and complex task dependencies.
结论
This is ideal for developers and teams wanting to experiment with multi-agent orchestration without upfront costs or complex setup, especially for coding projects. It may not suit those needing production-grade reliability or extensive customization beyond the provided framework. The key trade-off is ease of use and flexibility versus potential complexity in managing many agents and providers.