Tongyi Deep Research, the Leading Open-source Deep Research Agent
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Updated
Jan 21, 2026 - Python
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).
Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934
Web-Use is an agent for web browsing and scraping websites.
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
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"
vibebin: code and host inside Incus containers on your own VPS/server.
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
Screen recording and computer interaction capture tool that records keyboard/mouse input, screen video, DOM snapshots, and accessibility trees. Perfect for creating datasets to train and evaluate computer-use AI models.
Secure browser tab control for Claude/Codex
Screen recording and computer interaction capture tool that records keyboard/mouse input, screen video, DOM snapshots, and accessibility trees. Perfect for creating datasets to train and evaluate computer-use AI models.
Python scripts for generating and categorizing web browsing tasks for benchmark datasets
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