🧠 Top Open-Source AI-Agent Frameworks & SDKs on GitHub (2025)

🚀 The future of autonomous agents is already here—and it’s open-source.

In this week’s spotlight, we dive deep into the top 10 most powerful AI-Agent frameworks and SDKs trending on GitHub right now. Whether you're a developer, researcher, or someone just exploring AI agents, this curated list will help you build, automate, and innovate faster than ever before.

👨‍💻 These frameworks empower you to:

• Build multi-agent systems from scratch

• Create intelligent assistants using natural language

• Run fast, lightweight agents with memory and reasoning

• Seamlessly orchestrate real-time, cross-platform agents

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📺 Watch Now: Top Open-Source AI-Agent Frameworks & SDKs on GitHub 2025
🎙️ Explore each project in-depth with visuals, use-cases, and live demos.

1. OpenAI Agents SDK

A clean, powerful SDK built by OpenAI to orchestrate multi-agent workflows with LLMs. It includes features like agent handoffs, safety guardrails, and built-in tracing to debug how agents collaborate. Ideal for developers wanting to create structured, modular, multi-agent systems with high visibility and minimal complexity.
🔗 GitHub Link

2. MetaGPT

MetaGPT mimics a real software company—using GPTs assigned as engineers, PMs, and architects. It follows SOPs (Standard Operating Procedures) to turn a single-line prompt into detailed software artifacts. This multi-agent collaboration model is perfect for end-to-end product builds, and it’s even been recognized by ICLR 2025.
🔗 GitHub Link

3. Agno

Agno is blazing fast and model-agnostic. You can use any LLM, build multi-agent teams, generate multimodal output (text, image, video), and access real-time monitoring. It excels in memory efficiency and agent speed—making it ideal for both small teams and enterprise-scale applications.
🔗 GitHub Link

4. AutoAgent

AutoAgent is a zero-code framework for building LLM-powered agents using natural language only. It supports workflow editing, self-updating agents, and native RAG memory—all accessible via CLI or visual editors. If you're non-technical or want speed, this is your go-to platform.
🔗 GitHub Link

5. TEN Agent

TEN Agent enables real-time, voice-activated agents that can see, hear, and speak. It supports integration with hardware (ESP32), lifelike avatars, multimodal inputs, and platforms like Gemini and Dify. A solid choice for interactive conversational AI experiences.
🔗 GitHub Link