AgentGPT vs n8n
Side-by-side comparison of two AI agent tools
Short answer
- AgentGPT has had no commit in 17 months; n8n is actively maintained (3,694 commits in the last 90 days).
- n8n is growing faster: +3,978 GitHub stars in the last 30 days vs +64 for AgentGPT.
- Pick AgentGPT for: assemble, configure, and deploy autonomous AI Agents in your browser. Pick n8n for: fair-code workflow automation platform with native AI capabilities.
From GitHub data refreshed daily.
AgentGPTopen-source
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
n8nfree
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Metrics
| AgentGPT | n8n | |
|---|---|---|
| Stars | 36.3k | 206.5k |
| Star velocity /mo | 63.631578947368425 | 4.0k |
| Commits (90d) | 0 | 3.7k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 384.9K |
| Overall score | 0.24548442369900844 | 0.9297406531814896 |
Pros
- +完全自主化执行：AI 代理能够独立思考、规划和执行复杂任务，无需人工干预即可持续迭代优化
- +便捷的浏览器界面：提供直观的 Web 界面，用户可以轻松创建和管理多个 AI 代理，降低了使用门槛
- +自动化环境配置：内置 CLI 工具自动处理数据库、后端和前端的设置，大幅简化了部署和配置过程
- +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
- +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
- +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility
Cons
- -依赖外部 API 服务：需要 OpenAI API 密钥等付费服务，运行成本相对较高，且受第三方服务稳定性影响
- -资源消耗较大：需要完整的 Docker 环境和数据库支持，对系统资源要求较高，不适合低配置环境
- -自主决策风险：AI 代理的自主性可能导致不可预测的行为或偏离预期目标的情况
- -Requires technical knowledge to fully leverage coding capabilities and advanced features
- -Self-hosting demands infrastructure management and maintenance overhead
- -Fair-code license restricts commercial usage at scale without enterprise licensing
Use Cases
- •自动化内容创作：让 AI 代理研究特定主题、收集信息并生成博客文章、报告或营销材料
- •市场研究和竞品分析：配置代理自动收集行业信息、分析竞争对手策略并生成市场洞察报告
- •项目管理助手：创建能够自动分解项目任务、跟踪进度并提供优化建议的智能助理代理
- •Building AI agent workflows that process customer data using LangChain and custom language models
- •Automating complex business processes that require both API integrations and custom business logic
- •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting
FAQ
- Which is more popular, AgentGPT or n8n?
- n8n has more GitHub stars (206,548 vs 36,299).
- Which is more actively developed, AgentGPT or n8n?
- n8n had more commits in the last 90 days (3,694 vs 0).
- Should I use AgentGPT or n8n?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.