Tongyi Deep Research, the Leading Open-source Deep Research Agent
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Updated
Feb 27, 2026 - Python
Tongyi Deep Research, the Leading Open-source Deep Research Agent
This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
Open-source benchmark for browser AI agents on 153 everyday online tasks across 144 live websites. 5-layer recording + DOM-match + LLM judge. Top score 33.3%.
AI-powered login automation. Uses Claude to classify login pages and Playwright to interact with them.
Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934
Run Surfer-H agents powered by Holo1 using the Surfer-H-CLI. Includes example tasks, scripts, and configurations.
[NAACL2025] LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications
The Library for LLM-based multi-agent applications
vibebin: code and host inside Incus containers on your own VPS/server.
OpenTiny NEXT-SDKs is a front-end AI and browser automation toolkit. It implements WebMCP + WebSkills to build AI-native apps, and leverages webmcp-cli to enable LLM agents to remote-control any webpage without source code modifications. OpenTiny NEXT-SDKs 是一套前端 AI 与浏览器自动化工具包。它通过 WebMCP + WebSkills 协议构建 AI 原生应用,并利用 webmcp-cli 实现了无需修改源码即可让大模型代理自动控制任
Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval And Synthesis For SLMs
Opensource benchmark evaluating web operators/agents performance
Agent Skill Induction: "Inducing Programmatic Skills for Agentic Tasks"
Browser-native agent · profiles · tools — by aratech | Zero installs, isolated, secured and self-evolving agent.
Code for 🌍 UI-Simulator: LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Navi-Bench: benchmarking web agents on everyday tasks directly on real websites
CLI + SDK to automate, scrape, and extract from the web — for AI agents and humans. Cloud or local browser, one command.
Explainable Web Assistant - Safe, Fun, Efficient
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