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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 Microsoft Agent Framework?

The Microsoft Agent Framework serves as an open-source SDK and runtime designed to aid developers in the creation, orchestration, and deployment of AI agents and multi-agent workflows, utilizing programming languages such as .NET and Python. It effectively integrates the user-friendly agent abstractions from AutoGen with the advanced functionalities of Semantic Kernel, providing features like session-based state management, type safety, middleware, telemetry, and comprehensive support for models and embeddings, thereby establishing a unified platform that is ideal for both experimental and production environments. Moreover, its graph-based workflow capabilities grant developers precise oversight over the interactions between multiple agents, allowing for the efficient execution of tasks and coordination of complex processes, which supports organized orchestration across diverse scenarios, whether they are sequential, concurrent, or involve branching workflows. In addition to these advantages, the framework is designed to handle long-running operations and human-in-the-loop workflows through its strong state management capabilities, which allow agents to maintain context, address intricate multi-step challenges, and operate continuously over extended durations. This blend of features not only simplifies the development process but also significantly boosts the performance and dependability of AI-driven applications, making it a valuable tool for developers seeking to innovate in the field of artificial intelligence. Ultimately, the framework's versatility ensures that it can adapt to various use cases, further enhancing its appeal in the ever-evolving landscape of AI technology.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Ollama

Integrations Supported

.NET
AutoGen
Openlayer
Python

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
Online Training

Company Facts

Organization Name

Converge AI

Company Website

a13n.dev/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/agent-framework/overview/

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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