适合什么时候使用
- 构建能够调用工具和 API 的助手。
- 创建可重复执行的研究、编码或运维流程。
- 协调规划者、执行者、审查者和验证者角色。
- 比较不同框架对记忆、状态和工具调用的处理方式。
智能体框架、系统提示词、子智能体配置、工具调用、MCP 服务和插件生态。
智能体框架帮助开发者组织模型调用、工具、记忆、规划和执行循环。真正的差异不只在演示效果,而在它是否能支持可恢复、可观察、可受控的工作流。
6 个仓库按 GitHub stars 排序。需要实时筛选时可以打开交互式浏览器。
A programming framework for agentic AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework