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What is a13n?

A13n is an open-source framework that can be self-hosted for the purpose of developing AI agents, enabling users to effortlessly create, test, and launch agent applications. Developers have the option to use the Python Harness SDK to specify agents by outlining particular instructions, models, tools, and execution environments, or they may choose to configure them through the Harness UI. This versatile platform features a collaborative workspace and a dedicated HTTP API, designed for applications that need managed agents, preserved interactions, and the functionality to continue from prior sessions. Agents can operate either on local machines or through a deployed service, and they support checkpointing for qualified tasks. In addition, the framework offers integration with various model providers, third-party software, web data services, and remote MCP servers, and it can be deployed easily using Docker Compose or Kubernetes. Tailored specifically for software developers and platform teams who are aiming to build AI-centric workflows and applications, A13n ensures that clients retain control over their own infrastructure and credentials. This capability not only facilitates innovation but also significantly enhances the potential of applications through the incorporation of sophisticated AI features, ultimately driving progress in the development landscape.

What is OpenAI Agents SDK?

The OpenAI Agents SDK empowers developers to build agent-based AI applications in an efficient and intuitive way, reducing unnecessary complications. This SDK is an advanced iteration of our previous project, Swarm, aimed at agent experimentation. It includes a streamlined collection of essential components: agents, which are sophisticated language models equipped with specific directives and tools; handoffs, which support the distribution of tasks among agents; and guardrails, which ensure that inputs from agents are accurately validated. By utilizing Python in conjunction with these components, developers can create complex interactions between tools and agents, enabling the creation of effective applications without facing a steep learning curve. Additionally, the SDK features built-in tracing capabilities that allow users to visualize, debug, and evaluate their agent workflows, as well as to fine-tune models to meet their unique requirements. This comprehensive array of functionalities positions the Agents SDK as an indispensable tool for developers looking to effectively tap into the potential of AI. Ultimately, it fosters a more accessible environment for innovation in AI development.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Ollama

Integrations Supported

Agent Control
Apify
Brainpercent
CaptchaNo
Compute with Hivenet
Concentrate AI
Enkrypt AI
Hindsight
Muse Spark 1.1
Muse Spark 1.2
Muse Wonder
Muse Wonder Full
Openlayer
SerpKite
TAWA GUARD
Traccia
Ultramarine 1 Flash
Vulnify

API Availability

Has API

API Availability

Has API

Pricing Information

Agent Foundation is available under the Apache License 2.0. Self-hosted infrastructure and usage charges from external model or service providers are separate.
Free Version

Pricing Information

Free
Free Version

Supported Platforms

On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Converge AI

Company Website

a13n.dev/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.github.io/openai-agents-python/

Categories and Features

AI Agent Frameworks

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

AI SDKs

Not specified

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