Agents IA
WorkArena
WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.
★ 275 étoilesNOASSERTION
Voir le guide →AgentBench est un projet de agents IA open source, créé par THUDM (THUDM/AgentBench sur GitHub). Il compte 3 765 étoiles sur GitHub et 288 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 8 février 2026.
A rigorous benchmark for LLMs acting as agents.
Pick one concrete task so you can judge whether the project fits.
Clone the repo and check the prerequisites listed in the README.
Install what it needs and configure credentials or model access.
Run a minimal example end to end before wiring it into your stack.
Tests models as actors in environments.
Peer-reviewed benchmark design.
Diverse tasks beyond static QA.
From a leading academic lab.
Runnable evaluation code.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/THUDM/AgentBench.git
cd AgentBenchSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtEvaluate a model on a task subset per the docs.
# see README for the task runnersIt is maintained by THUDM at THUDM/AgentBench, with 288 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
You need model access to evaluate; the harness itself is free.
AgentBench covers diverse agentic environments; SWE-bench targets real-world software engineering specifically.
Follow the repo docs to run a task subset against your model.
WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.
High-performance serving for the LLMs that power your agents.
OSWorld — benchmark multimodal agents on open-ended tasks in real computer environments.
Open-source red-teaming framework that stress-tests LLMs and AI agents.
Chinese-language course on AI basics: GPU architecture, CUDA, LLMs, and agents.
Uber's ADR: discover, observe, benchmark, and detect threats across enterprise AI agents, deployed at Uber.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si AgentBench ne vous convient pas.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de AgentBench — continuez à explorer de part et d'autre.
Build voice-based LLM agents with a modular, open-source toolkit.
An open-source multimodal retrieval engine for agent pipelines.
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Research-backed lifelong memory for LLM agents, text and multimodal.
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.