11 Lessons to Get Started Building AI Agents
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Updated
May 21, 2025 - Jupyter Notebook
11 Lessons to Get Started Building AI Agents
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
Optimizing inference proxy for LLMs
🦾 Take control of your AI agents
OctoTools: An agentic framework with extensible tools for complex reasoning
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more
Build Anything with AI Agents
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
MedRAX: Medical Reasoning Agent for Chest X-ray
Open source framework to create full featured AI Agents in PHP - powered by Inspector.dev
A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
Automatic view component renderer by AI agent
A security scanner for your LLM agentic workflows
Nexent 是一个开源智能体SDK和平台,能够将描述流程的自然语言转化为完整的多模态服务 —— 无需编排,无需复杂拖拉拽。基于 MCP 工具生态系统构建,Nexent 提供灵活的模型集成、可扩展的数据处理和强大的知识库管理。我们的目标很简单:将数据、模型和工具整合到一个智能中心中,让任何人都能轻松地将 Nexent 集成到项目中,使日常工作流程更智能、更互联。
AI Driven Machine Automation Platform 🚀🚀
A framework for agentic workflow creation and deployment
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