Open Agent Specification (Agent Spec) Technical Report
🤖 AI Summary
AI agent development suffers from framework fragmentation, resulting in poor cross-platform compatibility, redundant implementation efforts, and inefficient collaboration. To address this, we propose Agent Spec—the first declarative specification language for general-purpose AI agents. It decouples agent definition from execution environments by abstracting workflow models, standardizing interface definitions, and providing environment-agnostic semantic descriptions. The specification enables multi-framework parsing and portable execution, supporting “design once, deploy across platforms.” Its core contributions are: (1) establishing the first open, extensible interoperability standard for AI agents; (2) enabling reproducible research, seamless toolchain integration, and enterprise-scale deployment; and (3) significantly improving development efficiency, system maintainability, and cross-team collaboration.
Application Category
📝 Abstract
Open Agent Specification (Agent Spec) is a declarative language that allows AI agents and their workflows to be defined in a way that is compatible across different AI frameworks, promoting portability and interoperability within AI Agent frameworks.
Agent Spec aims to resolve the challenges of fragmented agent development by providing a common unified specification that allows AI agents to be designed once and deployed across various frameworks, improving interoperability and reusability, and reducing redundant development efforts. Additionally, Agent Spec facilitates development tools and portability, allowing AI agents to be defined independently of their execution environment and enabling teams to exchange solutions without implementation-specific limitations.
Agent Spec benefits four key groups: (i) Agent developers, who gain access to a superset of reusable components and design patterns, enabling them to leverage a broader range of functionalities; (ii) Agent framework and tool developers, who can use Agent Spec as an interchange format and therefore benefit from the support of other frameworks as well as other tools; (iii) Researchers, who can achieve reproducible results and comparability, facilitating more reliable and consistent outcomes; (iv) Enterprises, which benefit from faster prototype-to-deployment, increased productivity, as well as greater scalability and maintainability for their AI agent solutions. This technical report provides an overview of the technical foundations of Agent Spec, including motivation, benefits, and future developments.
Problem
Research questions and friction points this paper is trying to address.
Defining portable AI agents across diverse frameworks
Resolving fragmented development through unified specifications
Enabling agent interoperability and reducing redundant efforts
Innovation
Methods, ideas, or system contributions that make the work stand out.
Declarative language for cross-framework AI agent portability
Unified specification enabling design once deploy anywhere
Environment-independent agent definition facilitating tool interoperability
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