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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 AgentKit?

AgentKit provides a comprehensive suite of tools designed to streamline the development, deployment, and refinement of AI agents. At the heart of this platform is Agent Builder, a user-friendly visual interface that enables developers to construct multi-agent workflows effortlessly through a drag-and-drop system, implement necessary guardrails, preview running processes, and oversee various versions of workflows. The Connector Registry is essential for consolidating the management of data and tool integrations across multiple workspaces, thereby facilitating effective governance and access control. Furthermore, ChatKit allows for the smooth incorporation of interactive chat interfaces, which can be customized to align with specific branding and user experience needs, into both web and app environments. To maintain optimal performance and reliability, AgentKit enhances its evaluation framework with extensive datasets, trace grading, automated prompt optimization, and support for third-party models. In addition, it provides reinforcement fine-tuning options that further augment the capabilities of agents and their features. This extensive collection of tools empowers developers to efficiently craft advanced AI solutions, ultimately fostering innovation in the field. Overall, AgentKit stands as a pivotal resource for those looking to advance AI technology.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Ollama

Integrations Supported

Model Context Protocol (MCP)
Actively AI
Agent Builder
BrowserQL
Canva
ChatGPT
ChatKit
Dropbox
Evernote
Google Drive
HubSpot CRM
JavaScript
LegalOn
Microsoft SharePoint
Microsoft Teams
OpenAI
Python
Ramp
Taboola

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

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

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.com/index/introducing-agentkit/

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

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