AutoGPT vs LLMStack
Side-by-side comparison of two AI agent tools
Short answer
- LLMStack has had no commit in 22 months; AutoGPT is actively maintained (765 commits in the last 90 days).
- AutoGPT is growing faster: +754 GitHub stars in the last 30 days vs +2 for LLMStack.
- Pick AutoGPT for: autoGPT is the vision of accessible AI for everyone, to use and to build on. Pick LLMStack for: no-code multi-agent framework to build LLM Agents, workflows and applications with your data.
From GitHub data refreshed daily.
AutoGPTfree
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
LLMStackfree
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
Metrics
| AutoGPT | LLMStack | |
|---|---|---|
| Stars | 187.6k | 2.3k |
| Star velocity /mo | 753.9473684210526 | 1.5789473684210529 |
| Commits (90d) | 765 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8403440138694693 | 0.16212211142476857 |
Pros
- +开源且免费的自托管选项，用户拥有完全控制权
- +支持创建持续运行的AI代理，能够自动化复杂的多步骤工作流程
- +活跃的社区支持和频繁更新，拥有超过18万GitHub星标的成熟生态
- +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
Cons
- -自托管需要技术知识，包括Docker、Node.js等多项技术栈
- -硬件要求较高，建议16GB RAM和4+核心CPU
- -云托管版本仍处于封闭测试阶段，公开发布时间未定
- -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
Use Cases
- •自动化软件开发流程，如代码生成、测试和部署
- •创建智能客服代理，处理复杂的客户查询和任务
- •构建数据处理和分析工作流，自动化报告生成和业务流程
- •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
FAQ
- Which is more popular, AutoGPT or LLMStack?
- AutoGPT has more GitHub stars (187,648 vs 2,308).
- Which is more actively developed, AutoGPT or LLMStack?
- AutoGPT had more commits in the last 90 days (765 vs 0).
- Should I use AutoGPT or LLMStack?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.