AgentBench
Agent evaluation suite with containerized tasks and a function-calling interface, including operating-system and shopping environments.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Benchmarks
- Environment
- cross-platform, web
- Topics
- evaluation, tool-integration
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-16T10:42:12Z
- Resource ID
- github:thudm/agentbench
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Apache-2.0 (repository LICENSE header; not a weights/data license)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
Recorded specifications
- leaderboard url
- https://docs.google.com/spreadsheets/d/e/2PACX-1vRR3Wl7wsCgHpwUw1_eUXW_fptAPLL3FkhnW_rua0O1Ji_GIVrpTjY5LaKAhwO-WeARjnY_KNw0SYNJ/pubhtml
Explore related topics
Related resources
- documented by: AgentBench: Evaluating LLMs as Agents
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-16T10:42:12Z. Supports: name, kind, summary, environments, topics, scope, relations, details.
Content fingerprint
1b7d1f1cd7a74ac9497c639324ec342dd3f8769e9c0c4cd2cd92a4eb6740ac98 - license header
Retrieved 2026-10-16T10:48:41Z. Supports: licenses.code.
Content fingerprint
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4
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