Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
Published 7 Nov 2025 · arXiv · Soufiane Amini
Overview
The Open Agent Specification (Agent Spec) is a declarative language designed to unify the representation of AI agents across various frameworks. This initiative aims to address the fragmentation in agent definitions and evaluations, promoting interoperability and reusability.
Key Insights
- Unified Language: Agent Spec provides a common language for defining AI agents, facilitating cross-framework compatibility.
- Standardized Evaluation: Introduces a standardized evaluation harness, similar to HELM, to assess agent performance consistently.
- Toolsets Provided: Includes a Python SDK (PyAgentSpec) and adapters for popular frameworks like LangGraph and AutoGen.
BFSI Relevance
- Why Relevant: Standardization in AI agents is crucial for financial services, where consistency and reliability are vital.
- Primary Sector: Financial Services
- Subsectors: Asset Management, Risk Management
- Actionable Implications: BFSI professionals should consider adopting Agent Spec for developing AI solutions to ensure interoperability and consistent performance evaluation.
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