Evaluation & Testing

ToolEmu

Identify risks of LM agents with tool use through emulation.

Status
UnmaintainedNo commits in 893 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

A language model-based framework for identifying the potential risks associated with AI agents using tools. It helps in assessing and mitigating risks by simulating agent behavior.

ToolEmu stands out as a specialized framework for simulating and analyzing the risks associated with AI agents using tools, offering unique insights into potential hazards.

When it fits — and when it doesn’t

A good fit for

  • Teams researching AI safety and tool use risks

  • Academic institutions studying the impact of tool use in AI agents

  • Developers needing to simulate and analyze AI agent behavior

Look elsewhere if

  • Projects requiring real-time risk assessment without simulation capabilities

  • Applications that do not involve language model-based emulation or analysis

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development and maintenance focus is on Python, other languages have minimal support or community-driven efforts

  2. 02

    Performance issues with large-scale simulations

    Simulating complex AI agent behaviors can lead to significant resource consumption and slow execution times

What it does well

  • Simulates AI agent behavior to identify risks

  • Framework for language model-based emulation

  • Open-source with Apache-2.0 license

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up ToolEmu

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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