by THUDM · Agent Tool · ★ 3.2k
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AgentBench 🌐 Leaderboard (new) 📃 Paper 👋 Join our Slack for Q & A or collaboration on next version of AgentBench! 🔥[2025.10.10] Introducing AgentBench FC (Function Calling) based on AgentRL The current repository contains the function-calling version of AgentBench, integrated with AgentRL, an end-to-end multitask and mutliturn LLM Agent RL framework. If you wish to use the older version, you can revert to v0.1 and v0.2. Comparing to the original AgentBench, this version uses a function-calling style prompt, and adds fully-containerized deployment support for the following tasks: (AF) (DB) (KG) (OS) (WS) Quick Start We support a
| Stars | 3,214 |
| Forks | 240 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.438242037414/100 |
| Open Issues | 68 |
| Last Updated | 2026-02-08 |
| Created | 2023-07-28 |
| Platforms | python |
| Est. Tokens | ~1970k |
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AgentBench is A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24). It is categorized as a Agent Tool with 3.2k GitHub stars.
AgentBench is primarily written in Python. It covers topics such as chatgpt, gpt-4, llm.
You can find installation instructions and usage details in the AgentBench GitHub repository at github.com/THUDM/AgentBench. The project has 3.2k stars and 240 forks, indicating an active community.
AgentBench is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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