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UFO: Microsoft's Multi-Device AI Agent Orchestration Framework
Microsoft's UFO project introduces a powerful framework for intelligent automation, evolving from a robust Windows Desktop AgentOS (UFO²) to a revolutionary Multi-Device Agent Galaxy (UFO³). This project enables the orchestration of AI agents across diverse platforms, streamlining complex workflows and enhancing digital interaction. It offers both standalone Windows automation and a scalable solution for cross-device collaboration.
Hexabot: Open-Source AI Chatbot and Agent Builder
Hexabot is an open-source AI chatbot and agent builder designed for creating and managing multi-channel and multilingual conversational agents with ease. It offers extensive customization, powerful text-to-action capabilities, and supports integration with various LLM models, making it a flexible solution for developers. This project simplifies the deployment and management of sophisticated AI-powered interactions across different platforms.
mini-swe-agent: The Minimal AI Agent for Solving GitHub Issues
mini-swe-agent is a remarkably simple yet powerful AI agent, comprising just 100 lines of Python code. It's designed to solve GitHub issues and assist in command-line tasks, achieving over 74% on the SWE-bench verified benchmark. This project offers a radically simple approach to AI-driven software engineering, avoiding complex configurations and large monorepos.
learn-claude-code: Build AI Coding Agents from Scratch with Python
The learn-claude-code repository offers a progressive tutorial to demystify AI coding agents like Claude Code, Kode, and Cursor Agent. It teaches users how modern AI agents work by building them from scratch, starting with a minimal 16-line Bash agent. This project emphasizes the core concept of "Model as Agent" through five evolving versions.
lagent: A Lightweight Framework for Building LLM-Based Agents
lagent is a lightweight, open-source framework developed by InternLM, designed for efficiently building large language model (LLM)-based agents. It provides a PyTorch-inspired design philosophy, making it intuitive for developers to create and manage multi-agent applications. This framework simplifies the process of agent communication, memory management, and tool integration.
Biomni: A General-Purpose Biomedical AI Agent for Research
Biomni is a general-purpose biomedical AI agent designed to autonomously execute a wide range of research tasks across diverse biomedical subfields. It integrates cutting-edge large language model reasoning with retrieval-augmented planning and code-based execution. This powerful tool helps scientists significantly enhance research productivity and generate testable hypotheses.
AstrBot: Agentic IM ChatBot Infrastructure for Multi-Platform AI
AstrBot is an open-source, agentic IM chatbot infrastructure designed for seamless integration across multiple messaging platforms. It offers a powerful and user-friendly plugin system, supporting a wide range of advanced AI models and LLM platforms. This makes it an ideal solution for building reliable and scalable conversational AI applications, from personal AI companions to enterprise knowledge bases.
Agentless: An Agentless Approach to Solve Software Development Problems
Agentless is an innovative open-source project that offers an agentless approach to automatically solve software development problems. It streamlines the bug-fixing process through localization, repair, and patch validation phases. This tool aims to enhance efficiency in addressing software issues, particularly demonstrated by its performance on benchmarks like SWE-bench lite.
Awesome AI Agents: A Curated List of 300+ Agentic AI Resources
Awesome AI Agents is a comprehensive, community-curated list featuring over 300 agentic AI resources, tools, and frameworks. Maintained by Slava Kurilyak, this repository serves as an essential guide for anyone exploring the rapidly evolving landscape of AI agents. It provides a centralized hub to discover new projects, understand different development approaches, and stay updated with the latest advancements in the field.
Trae Agent: An LLM-Based Agent for General Software Engineering Tasks
Trae Agent is an LLM-based agent designed for general-purpose software engineering tasks, offering a powerful CLI interface that understands natural language instructions. It enables complex software engineering workflows using various tools and LLM providers, featuring a transparent, modular, and research-friendly architecture. This project is ideal for studying AI agent architectures and developing novel agent capabilities.
DeerFlow: A Deep Research Framework Powered by LLMs and Multi-Agent Systems
DeerFlow is a community-driven Deep Research framework developed by ByteDance, designed to combine language models with powerful tools for web search, crawling, and Python execution. It enables comprehensive research processes, from intelligent clarification to report generation and even podcast creation, all while giving back to the open-source community.
GLM-4.5: Agentic, Reasoning, and Coding Foundation Models for Advanced AI
The GLM-4.5 GitHub repository introduces the GLM-4.5 and GLM-4.6 series of foundation models, designed for advanced agentic, reasoning, and coding capabilities. These models offer significant improvements, including longer context windows, enhanced coding performance, and superior reasoning, making them highly competitive in the LLM landscape. Developers can leverage these models for complex intelligent agent applications, backed by strong benchmark results.