Best Agent Framework Top 20
Top 20 most popular open-source Agent Framework projects, ranked by GitHub Stars.
Hermes Agent
206.5k StarsAn autonomous AI agent framework from NousResearch that supports multiple LLM backends and grows with user needs.
AutoGPT
185.2k StarsAutoGPT is an autonomous AI agent that can complete user-defined tasks end-to-end. It plans and executes steps on its own and is considered a milestone in agent autonomy.
opencode
180.9k StarsOpenCode is an open-source terminal-based coding agent, cross-platform and compatible with Claude, OpenAI, and many other LLMs, offering an interactive TUI and extensible AI coding experience.
Langflow
150.3k StarsLangflow is a visual AI agent and workflow builder platform with drag-and-drop design, multi-LLM integration, and tool composition to simplify agent development.
Langflow
150.3k StarsPython-ecosystem visual LLM workflow builder emphasizing multi-agent.
Dify
147.2k StarsDify is an open-source LLM application development platform with a visual agent orchestration interface, supporting workflows, knowledge bases, and multiple models.
LangChain
140.6k StarsLangChain is the open-source agent engineering platform that unifies model IO, tool calling, RAG, memory and observability under one composable framework.
LangChain
140.6k StarsLangChain is a framework for building applications powered by language models. It provides core capabilities such as chaining, memory management, and agent orchestration, making it a go-to choice for AI agent development.
AutoResearch
89.3k StarsAI research automation agent by Andrej Karpathy that automatically runs nanochat training research experiments on a single GPU.
OpenHands
78.9k StarsOpenHands (formerly OpenDevin) is an autonomous AI agent platform for software development that independently completes code changes, bug fixes, and feature work end-to-end.
OpenHands
78.9k StarsOpenHands is an open-source AI software engineering agent platform that can automatically execute development tasks, modify code, and support collaborative iteration.
LlamaFactory
72.8k StarsUnified Efficient Fine-Tuning of 100+ LLMs & VLMs. Supports LoRA, QLoRA, RLHF and more for building custom agent models.
MetaGPT
69.1k StarsThe Multi-Agent Framework for building the first AI Software Company, enabling natural language programming with multi-role collaboration for automated requirement analysis, design, coding, and testing.
MetaGPT
69.1k StarsMetaGPT is a multi-agent framework that combines collaborative intelligence with software-engineering SOPs so agents cooperate like a real software company to ship code and docs.
AI Agents for Beginners
68.3k Stars12 Lessons to Get Started Building AI Agents by Microsoft. Hands-on curriculum covering core agent concepts, tool use, and multi-agent collaboration.
Pi Mono
66.8k StarsPi Mono is a comprehensive AI agent toolkit including a coding agent CLI, unified LLM API, TUI and web UI libraries, Slack bot, and vLLM pod management for end-to-end agent development.
Oh My OpenAgent
64.4k StarsAn open-source agent harness platform providing the best agent toolkit, supporting multiple AI coding agents.
openinterpreter
64.2k StarsOpen Interpreter lets LLMs execute code and control a computer locally, turning natural language into shell, Python, and browser actions on the user machine.
Ruflo
62.3k StarsThe leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code/Codex integration.
Llama 2
59.5k StarsMeta's open-source Llama 2 foundational LLM with pretrained and fine-tuned models from 7B to 70B parameters, supporting chat and text completion as a cornerstone of the open LLM ecosystem.
Related Articles
Agent Canary Deployment and Production Monitoring: From Prompt A/B Testing to Automatic Rollback
How do you know a prompt change is better, not worse? A systematic guide to canary deployment, quality gates, auto-rollback architecture, and continuous behavioral drift monitoring for agents in production.
Agent Evaluation and Testing: From Vibe Checks to End-to-End Pipelines
Most teams evaluate agents by checking a few examples. Real evaluation needs layered metrics, non-rotting datasets, and judges that push back. This article provides runnable code patterns and a practical decision framework.
Agent Memory Architecture: Working, Long-term, and Shared Memory Trade-offs
A systematic comparison of the three categories of agent memory -- working, long-term, and shared -- covering storage media, lifecycle, retrieval methods, typical frameworks, and design patterns, fully addressing agent personalization and multi-agent collaboration engineering.