Agents & tool use

AgentBench

by Tsinghua University (THUDM) & collaborators

What is AgentBench? AgentBench is an agents & tool use eval made by Tsinghua University (THUDM) & collaborators. Tests an LLM acting as an agent across eight interactive environments in the original paper, such as an operating system shell, databases, a knowledge graph and web shopping. The current repo is a function-calling version that runs five of these tasks in Docker; older releases stay available as v0.1 and v0.2.

Page last updated 2026-10-18 · Evals Review

Editor note

Tests an LLM acting as an agent across eight interactive environments in the original paper, such as an operating system shell, databases, a knowledge graph and web shopping. The current repo is a function-calling version that runs five of these tasks in Docker; older releases stay available as v0.1 and v0.2.

What it tests
Multi-turn agent reasoning and decision-making across varied environments.
Original source
github.com/THUDM/AgentBench
Last updated
Repo last push 2026-02-08
License
Apache-2.0

Facts come only from the linked source (checked 15–16 Oct 2026). Credit belongs to the creators. We don't score or rank evals: how we review.

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Related agents & tool use evals

  • GAIA — General assistant skills: browsing, file handling, multi-step reasoning.
  • WebArena — Autonomous web navigation and task completion.
  • OSWorld — Computer-use agents operating real operating systems and apps.
  • Terminal-Bench — Agents working in the shell end to end.

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