ToolEmu
Identify risks of LM agents with tool use through emulation.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is ToolEmu?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development and maintenance focus is on Python, other languages have minimal support or community-driven efforts
Simulating complex AI agent behaviors can lead to significant resource consumption and slow execution times
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Projects requiring real-time risk assessment without simulation capabilities
Applications that do not involve language model-based emulation or analysis
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with ToolEmu
Step-by-step setup guide with code examples and common gotchas.