University of Kwazulu-Natal

Top 18 Open Source Ai Agent Projects With The Most Github Stars

Bonisiwe Shabane
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top 18 open source ai agent projects with the most github stars

About a month ago, I came across a highly discussed post on Hacker News — “Stop Building AI Agents” In the post, the author shared a personal experience: he built a “research crew” with CrewAI: three agents, five tools, perfect coordination on paper. But in practice, the researcher ignored the web scraper, the summarizer forgot to use the citation tool and the coordinator gave up entirely when processing longer documents. It was a beautiful plan falling apart in spectacular ways. The flowchart below was created by the author after countless rounds of debugging and failed attempts, summarizing his decision guide for Should I use an Agent. Image source: https://decodingml.substack.com/p/stop-building-ai-agents

The article distilled an important principle: agents work best in unstable processes where humans remain in the loop for oversight — in these scenarios, an agent’s exploratory and creative capabilities often outperform a rigid... ModelingGithubposted by ODSC Team December 18, 2025 ODSC Team The year 2025 has seen an explosion of open-source projects aimed at building and enhancing AI agents. GitHub’s latest Octoverse report highlights that over 4.3 million AI-related repositories now exist (a 178% YoY jump in LLM-focused projects). In this environment, certain new repos skyrocketed in popularity – garnering tens of thousands of stars – by empowering developers to create autonomous workflows, integrate advanced models locally, and streamline AI development. In the blog below, let’s take a look at the ten most-starred GitHub agentic AI repositories in 2025 and explore why they’ve earned such acclaim.

Meet leading experts, upskill with hands-on workshops, and connect with thousands of data science and AI practitioners shaping the next wave of innovation. n8n is an open-source workflow automation platform that combines a visual no-code interface with code flexibility, now supercharged with native AI capabilities. With 400+ integrations, n8n enables technical teams to build powerful automation pipelines while maintaining full control. Notably, n8n introduced an “AI-native” approach, letting users incorporate large language models (e.g. via LangChain) into their workflows to create custom AI agent automations. This ability to build AI-driven agents and multi-system flows – all self-hosted under a fair-code license – has made n8n immensely popular.

It surpassed 150,000 GitHub stars in 2025. When I testified before the United States Senate Judiciary Subcommittee in 2024 about the impact of deepfake technology on elections, the generative AI threat landscape was already deeply concerning. Now, as we look toward 2026, the escalation we're witnessing isn't... The average U.S. YouTube user spends 37 minutes per day on the platform, with YouTube Shorts alone generating up to 90 billion daily views globally. Despite the rise of short-form video apps like TikTok, YouTube's engagement rate continues to soar, surpassing even...

Two months ago, we did something the industry said was impossible. Our team released Chatterbox—an open-source text-to-speech model that outperformed ElevenLabs with 63.75% user preference in blind evaluations. The response was overwhelming. Within weeks, Chatterbox... 📬 Subscribe to Our Newsletter – Stay updated weekly with the latest AI-Agent projects and trends! Welcome to the ultimate collection of the latest open-source AI Agent projects.

Here you'll find regularly updated resources, project links, demos, and tutorials on trending AI agents across GitHub. Never miss out on exciting developments in AI-Agent projects! Subscribe to our weekly newsletter and get curated AI-Agent updates delivered directly to your inbox. The AGENTS.md file contains a regularly updated and categorized list of open-source AI agent projects: We warmly welcome contributions! Help grow this resource by:

Everyone is building AI agents these days. So after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI... Click the category headers to jump straight to our top picks: An AI agent is more than just an LLM with a prompt. Technically, it’s a composable system that combines planning, memory, tool use, and iterative execution. It forms a structured loop around an LLM that can make decisions, perform actions, and adapt to new information.

There is no agreed-upon definition of what constitutes an “AI agent”. Many of those explicitly include workflows and place autonomy at the end of a spectrum.We agree with these viewpoints, hence, we do not provide a strict definition. Instead, we list the factors that cause an AI system to be considered more agentic: For a more detailed explanation, we previously listed these factors and discussed how they define agentic AI systems. Run multiple Copilot agents from one place. Learn prompt techniques, how to spot drift early, and how to review agent work efficiently.

Find out about the latest custom models powering the completions experience in GitHub Copilot. Looking ahead to the New Year? These GitHub Podcast episodes help you cut through the noise and build with more confidence across AI, open source, and developer tools. From Appwrite to Zulip, Universe 2025’s Open Source Zone was stacked with standout projects showing just how far open source can go. Meet the maintainers—and if you want to join them in 2026, you can now apply for next year’s cohort. We envision the future of AI-enabled tooling to look like near-effortless engineering for sustainability.

We call it Continuous Efficiency. Discover the best AI projects available on the GitHub platform « Generate DeepFake videos and play the role of anyone you like: a movie hero, a singing star, etc. » « An AI co-pilot that can provide invaluable assistance to developers and programmers » « Creation of relevant Deepfakes.

Swap your face while keeping a realistic and high quality video » « A lightweight multimodal AI model, capable of processing text, image, audio and video on all your devices, even mobile ones. Fast execution, efficient resource management and support for over 140 languages (open-source project). » Dive into the world of open-source AI agent projects on GitHub. Discover the capabilities of leading frameworks like LangChain for context-aware reasoning, AutoGen for multi-agent systems, and CrewAI for collaborative AI workflows.

These tools are reshaping AI development, offering versatility and innovative approaches to complex tasks. Uncover their unique features and learn how they are pushing the boundaries of what's possible with AI agents. LangChain enables building context-aware reasoning applications. AutoGen facilitates multi-agent AI applications. CrewAI orchestrates autonomous AI agents for complex tasks. LangChain simplifies the lifecycle of LLM applications with composable components.

As AI agents become a central part of intelligent systems, GitHub has emerged as the go-to hub for open-source agent APIs. Developers looking to explore, evaluate, or contribute to cutting-edge agent frameworks can gain critical insights by comparing their GitHub repositories—from architecture and activity to community support and implementation style. This guide provides a structured comparison of the most popular Agent API projects on GitHub, based on code quality, project goals, community involvement, and real-world usability. When reviewing GitHub-based Agent API projects, consider the following criteria: Transparency: You can see how agents are built under the hood. Fast Prototyping: Fork code and deploy agents in minutes.

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