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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 Deep Agents?

Deep Agents is an open-source library and agent framework that facilitates the development of agents powered by large language models (LLMs) to perform complex, multi-step tasks. The library includes an agent loop that offers features such as planning, persistent memory, access to the file system, and the capability to assign tasks to subagents, allowing developers to easily integrate various model providers and tools. Targeted at software developers and teams aiming to create customized agent applications, it accommodates a wide range of workflows, including research, software programming, and any other situations that require structured planning and action over several steps. Moreover, developers can further expand the framework's functionalities by adding their own tools, middleware, and backend systems, as well as seamlessly integrating with LangGraph and LangSmith for efficient orchestration, tracing, and deployment. In essence, Deep Agents serves as a robust software development framework that enables users to design and manage agents tailored to their specific applications and environments, rather than offering a ready-made solution for end-users. This adaptability and extensive range of features position Deep Agents as a crucial resource for innovators in the field of agent-based application development, fostering creativity and efficiency in their projects. As the demand for sophisticated agent solutions grows, the importance of frameworks like Deep Agents becomes even more pronounced.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Ollama

Integrations Supported

LangSmith
dcode

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
Open source
Free Version

Supported Platforms

On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Converge AI

Company Website

a13n.dev/

Company Facts

Organization Name

LangChain

Date Founded

2023

Company Location

United States

Company Website

www.langchain.com/deep-agents

Categories and Features

AI Agent Frameworks

Not specified

Categories and Features

AI Agent Frameworks

Not specified

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