AI Infrastructure · PyPI

llm-agent-bench

Benchmark autonomous AI agents on task completion, tool use, goal adherence, and safety. Works with any agent — just provide a callable.

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Details

Author
Linda Oraegbunam
GitHub profile
@obielin
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/obielin/agent-bench
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@obielin

Overview

Benchmark autonomous AI agents on task completion, tool use, goal adherence, and safety. Works with any agent — just provide a callable.

Quick start

pip

pip install llm-agent-bench

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-agent-bench can do

agentllmautonomoustool-useai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Autonomous — autonomous task automation.
  • Tool Use — Orchestrates external tools to complete tasks.
  • Ai — ai task automation.

Frequently asked questions

What is llm-agent-bench?
Benchmark autonomous AI agents on task completion, tool use, goal adherence, and safety. Works with any agent — just provide a callable.
How do I install llm-agent-bench?
Use pip: `pip install llm-agent-bench`. Full setup details on the source page linked above.
Is llm-agent-bench open source?
llm-agent-bench is published on PyPI.
What are alternatives to llm-agent-bench?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-agent-bench is sourced from PyPI, published by Linda Oraegbunam.

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