Open Eval: Setting Industry Benchmarks for AI Agent Evaluation
Establishing transparent, reproducible standards to measure AI agent performance across industries and foster trustworthy adoption.
Our Mission
Standardize Evaluations
Create consistent benchmarks for measuring AI agents through the same lens that adopters use, enabling direct comparisons across solutions.
Build Confidence
Enable advancement of trustworthy AI by providing clear, objective measurements that support informed adoption decisions.
Ensure Transparency
Replace closed, vendor-specific metrics with open, reproducible evaluations that foster genuine trust in AI agent capabilities.
Drive Collaboration
Cultivate a community of experts contributing specialized knowledge to create comprehensive evaluation frameworks.
Who We Are
Independent Council for Transparent Evaluation
We bring together industry experts, researchers, and developers committed to creating repeatable, transparent evaluation methodologies for AI agents.
Our independence ensures evaluations remain unbiased and serve the broader AI community rather than specific vendors or platforms.
Building the Definitive Open Source Framework
Our goal is to develop comprehensive evaluation tools that can assess, compare, and improve AI agents across all industries and use cases, creating a foundation for responsible advancement.
Why We Need Open Benchmarking Now
Fragmented Evaluation Landscape
As dozens of agent types emerge, comparing their performance has become increasingly difficult without standardized evaluation criteria.
Information Asymmetry
Current methods rely on anecdotal success stories or closed, proprietary metrics that can't be independently verified.
By establishing open benchmarking as essential infrastructure for the AI agent era, Open Eval creates a level playing field where performance claims can be objectively verified and compared.
Core Principles
Ethical AI Evaluation
Ensuring all benchmarks consider ethical implications, fairness, and potential harms in how agents are assessed.
Agent-Agnostic Benchmarking
Creating evaluation frameworks that work across all agent types regardless of their underlying architecture or provider.
Reproducibility First
Designing evaluations that can be independently reproduced to verify results and build confidence in findings.
Community-Driven Development
Leveraging diverse expertise from across the AI ecosystem to develop comprehensive, relevant benchmarks.
Open by Default
Making methodologies, tools, and results openly accessible to foster transparency and collaboration.
Join Our Contributor Community
Evaluation Design
Help create rigorous, relevant benchmarks that accurately measure AI agent performance across diverse scenarios and use cases.
Documentation
Develop clear, comprehensive guides that make our evaluation frameworks accessible to researchers, developers, and adopters.
Community Building
Grow our network of contributors and help foster productive collaboration between industry experts, researchers, and developers.
Metrics and Reporting
Design meaningful metrics and effective reporting methods that communicate evaluation results clearly to various stakeholders.
Become Part of the Solution
How can I start contributing?
Reach out to volunteers@openevaluation.org with your background and areas of interest. We welcome contributors at all experience levels who are passionate about transparent AI evaluation.
What skills are most needed?
While we need industry experts to partner with to evaluate agents, we equally value contributions in documentation, product and project management, and community building. If you’re passionate about creating transparent evaluations for AI, we have a place for you!
How will Open Eval remain independent?
Our commitment to open frameworks ensures no single organization controls Open Eval's direction. All evaluations follow transparent processes with input from diverse stakeholders across the AI community.
Can commercial AI agents be evaluated?
Absolutely. We evaluate all types of AI agents, including commercial offerings. Our agent-agnostic approach ensures fair assessment regardless of whether an agent is open source or proprietary.
Have an agentic solution you'd like evaluated? Contact linda@openeval.org with details about your product and use case.