Agents IA
WorkArena
WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.
★ 275 étoilesNOASSERTION
Voir le guide →ClawBench est un projet de agents IA open source, créé par TIGER-AI-Lab (TIGER-AI-Lab/ClawBench sur GitHub). Il compte 975 étoiles sur GitHub et 62 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 5 octobre 2026.
An open benchmark for browser AI agents on everyday tasks.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Daily chores, not toy problems.
Compare agents apples-to-apples.
Purpose-built for web agents.
Inspect and extend the tasks.
From TIGER-AI-Lab.
Free to use and adapt.
Download the source and move into the project folder.
git clone https://github.com/TIGER-AI-Lab/ClawBench.git
cd ClawBenchCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyTIGER-AI-Lab/ClawBench is its home on GitHub, with 62 forks so far. The contributors tab and recent commits show how actively it is maintained.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
Running the evaluation is free; the model under test may use your own paid API keys.
ClawBench is one specific benchmark for browser agents; Harbor is a framework for running eval programs. Run ClawBench inside Harbor-style workflows for the best of both.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.
OSWorld — benchmark multimodal agents on open-ended tasks in real computer environments.
Benchmark computer-use agents on long, real-world desktop tasks.
A benchmark testing whether agents can solve long-horizon coding tasks.
The open-source library that lets AI agents control a real browser.
A fast browser-automation CLI built for AI agents.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si ClawBench ne vous convient pas.
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de ClawBench — continuez à explorer de part et d'autre.
An open-source speech language model from Hume.
An enterprise MCP gateway: governed, auditable tool access for agents.
Qwen-AgentWorld: a language world model simulating MCP, terminal, web, and OS environments for agents.
A memory and retrieval server built for LLMs.
A Python framework for building MCP servers and agent tools.
A self-improving QA agent that writes tests in plain English.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.