by @frankxai
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
Master Oracle's Open Agent Specification (Agent Spec) to design framework-agnostic, declarative AI agents that can be authored once and deployed across multiple frameworks and runtimes.
Framework-agnostic declarative language for defining agentic systems, building blocks for standalone agents and structured workflows, plus composition patterns for multi-agent systems.
Key Innovation: Decouple design from execution - write agents once, run anywhere.
Release: Technical report published October 2025 (arXiv:2510.04173)
The Problem: Fragmented agent development - each framework requires different implementation.
The Solution: Unified representation - Agent Spec defines structure and behavior in JSON/YAML that any compatible runtime can execute.
Benefit: Author agents once → Deploy across frameworks → Reduce redundant development.
Agent Spec defines conceptual building blocks (components) that make up agent-based systems.
Key Property: All components are trivially serializable to JSON/YAML.
Purpose: Text generation via LLM
Definition:
type: LLMNode
name: "text_generator"
model: "claude-sonnet-4-5"
system_prompt: "You are a helpful assistant"
temperature: 0.7
max_tokens: 2000
Purpose: External API calls
Definition:
type: APINode
name: "weather_api"
endpoint: "https://api.weather.com/v1/current"
method: "GET"
parameters:
location: "{input.location}"
headers:
Authorization: "Bearer {env.API_KEY}"
Purpose: Multi-round conversational agent
Definition:
type: AgentNode
name: "support_agent"
model: "gpt-4"
system_prompt: "You are a customer support specialist"
tools:
- type: function
name: "lookup_order"
- type: function
name: "process_refund"
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