AgentForge vs crewAI
Side-by-side comparison of two AI agent tools
Short answer
- crewAI is growing faster: +1,886 GitHub stars in the last 30 days vs +13 for AgentForge.
- Pick AgentForge for: extensible AGI Framework. Pick crewAI for: framework for orchestrating role-playing, autonomous AI agents.
From GitHub data refreshed daily.
AgentForgeopen-source
Extensible AGI Framework
crewAIopen-source
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Metrics
| AgentForge | crewAI | |
|---|---|---|
| Stars | 850 | 59.3k |
| Star velocity /mo | 12.789473684210526 | 1.9k |
| Commits (90d) | 4 | 307 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 784 | 2.4M |
| Overall score | 0.30870816273678475 | 0.841095659378717 |
Pros
- +声明式Cogs工作流：使用YAML文件即可编排复杂的多代理系统，无需编写大量胶水代码
- +真正的LLM无关性：支持OpenAI、Google、Anthropic等商业API及Ollama本地模型，可为不同代理分配不同模型
- +集成内存系统：提供开箱即用的上下文记忆功能，代理能够维持连贯的对话和任务执行状态
- +Built from scratch with no LangChain dependencies, offering clean architecture and fast performance
- +Provides both high-level simplicity for quick setup and low-level control for precise customization
- +Enterprise-ready with CrewAI Flows supporting production deployment and event-driven orchestration
Cons
- -工具系统已弃用：Actions和tools功能已废弃，等待基于MCP标准的新系统替换
- -相对较新的项目：769 GitHub stars表明社区规模有限，可能缺乏成熟的生态系统和第三方插件
- -学习曲线：需要掌握YAML配置、Cogs工作流和Personas概念才能充分发挥框架优势
- -Requires understanding of multi-agent coordination concepts and patterns
- -May be overkill for simple single-agent automation tasks
- -Learning curve associated with role-based agent orchestration design
Use Cases
- •多代理协作系统：构建需要多个AI代理协同工作的复杂业务流程，如客服、销售和技术支持的协作场景
- •有状态的AI助手：开发需要记住历史对话和用户偏好的智能助手，提供个性化的连续服务体验
- •快速原型验证：使用低代码方式快速构建和测试不同的代理架构，验证AI解决方案的可行性
- •Complex business process automation requiring multiple specialized AI agents with different roles
- •Enterprise workflows needing coordinated AI systems for tasks like content creation, research, and analysis
- •Production-grade multi-agent systems requiring event-driven control and precise task orchestration
FAQ
- Which is more popular, AgentForge or crewAI?
- crewAI has more GitHub stars (59,308 vs 850).
- Which is more actively developed, AgentForge or crewAI?
- crewAI had more commits in the last 90 days (307 vs 4).
- Should I use AgentForge or crewAI?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.