LLMStack vs n8n
Side-by-side comparison of two AI agent tools
Short answer
- LLMStack has had no commit in 22 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 +2 for LLMStack.
- Pick LLMStack for: no-code multi-agent framework to build LLM Agents, workflows and applications with your data. Pick n8n for: fair-code workflow automation platform with native AI capabilities.
From GitHub data refreshed daily.
LLMStackfree
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
n8nfree
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Metrics
| LLMStack | n8n | |
|---|---|---|
| Stars | 2.3k | 206.5k |
| Star velocity /mo | 1.5789473684210529 | 4.0k |
| Commits (90d) | 0 | 3.7k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 384.9K |
| Overall score | 0.16212211142476857 | 0.9297406531814896 |
Pros
- +无代码可视化构建界面，非技术用户可以轻松创建复杂的AI工作流程和智能体
- +支持多种AI提供商和模型链接，可以根据不同需求组合使用最适合的模型
- +提供灵活的部署选项，既有云端托管服务，也支持本地和私有云部署
- +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
- -需要Docker环境支持后台作业，增加了技术部署复杂性
- -默认管理员凭据需要手动更改，存在潜在的安全风险
- -复杂工作流程的构建仍需要一定的AI和业务逻辑理解
- -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
- •构建连接企业内部数据的客户服务聊天机器人，自动回答常见问题并处理客户请求
- •创建跨部门的业务流程自动化，通过AI智能体处理文档分析、数据提取和决策支持
- •建立从Slack或Discord触发的内部AI助手，帮助团队进行项目管理和信息检索
- •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, LLMStack or n8n?
- n8n has more GitHub stars (206,548 vs 2,308).
- Which is more actively developed, LLMStack or n8n?
- n8n had more commits in the last 90 days (3,694 vs 0).
- Should I use LLMStack or n8n?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.