OpenAgent is an open specification designed for defining AI agents in a technology-agnostic, portable format. This framework facilitates the seamless transfer of agent definitions across various agentic frameworks, platforms, and implementations, addressing the increasing demand for standardized definitions of AI agents and their capabilities.

Key Features

OpenAgent offers several advantages for developers and organizations:

• Portability: Define an agent once and deploy it anywhere with ease.
• Clarity: Provides human-readable documentation that also serves as machine-parseable specifications.
• Validation: Programmatic validation of agent definitions ensures accuracy and compliance with outlined standards.
• Versioning: Supports tracking the evolution of agent frameworks through built-in versioning.
• Interoperability: Establishes a standardized format for tools, capabilities, and integrations, enhancing compatibility.

Quick Start Guide

To create an OpenAgent Specification, start with the following template:

cp TEMPLATE.md my-agent.md

Edit the YAML frontmatter and Markdown body to define your agent's specifications.

To validate your specification, use:

python tools/validate.py my-agent.md

Usage of OpenAgent Specifications

OpenAgent specifications can be utilized in various ways:

• Documentation for internal teams.
• Parsing by tools to generate agent implementations.
• Sharing with others for replication.
• Version control alongside existing codebases.
• Comparing various agent versions for consistency and improvement.

Specification Format

OpenAgent employs a structured format using Markdown with YAML frontmatter. Here’s an example:

---
spec_version: "0.1.0"
agent:
  id: "com.example.my-agent"
  name: "My Agent"
  version: "1.0.0"
  description: "What this agent does"
capabilities:
  - id: "capability-1"
    name: "Capability Name"
    description: "What it does"
# ... more structured metadata
---
# My Agent
## Overview
Detailed documentation in Markdown format...

Core Concepts Include:

• Agent Identity: Unique identifiers, names, versions, and descriptions.
• Capabilities: High-level abilities defining what the agent can do.
• Tools: Functions or APIs the agent can access to perform tasks.
• Knowledge Sources: Databases, APIs, or other resources available to the agent.
• Behavior: Guidelines governing how the agent operates, such as tone and compliance.
• Interaction Model: Communication methods, including text and voice interactions.
• Performance Criteria: Metrics related to latency and quality of service.

Complementary Standards

OpenAgent aligns with several agent-related standards to enhance functionality and interoperability:

• A2A (Agent2Agent): Focuses on communication protocols for agents.
• MCP (Model Context Protocol): Provides context tools for agents and can be referenced in OpenAgent specifications.
• OpenAPI: Pertains to REST API definitions which can be linked to OpenAgent specs.

Use Cases

OpenAgent serves multiple use cases effectively:

• Living Documentation: Synthesize comprehensive, accessible documentation for agents.
• Agent Portability: Simplify implementation generation for varied platforms like LangChain and AutoGPT.
• Version Control: Monitor agent development with changelog support.
• Team Collaboration: Share specifications for synchronized efforts across departments.
• Agent Marketplace: Facilitate the publication and discovery of agent specifications.

Contribution and Community

OpenAgent welcomes community involvement through:

• Proposing changes to the specification.
• Reporting any issues encountered.
• Contributing to tools and improving documentation.
• Sharing practical use cases to enhance the project.

Future Roadmap

The development roadmap for OpenAgent includes:

• JSON Schema validation.
• Tools for generating agent implementations.
• A registry for publishing agents and facilitating their discovery.

OpenAgent is committed to providing a robust framework for defining AI agents with the potential for extensive use across varied technologies in a standardized manner. Feedback and contributions from the community will actively shape the evolution towards a stable release.