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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Description

A13n serves as a self-hosted, open-source framework for developing AI agents, allowing users to build, test, and deploy agent applications seamlessly. Developers can utilize the Python Harness SDK to define agents by providing specific instructions, models, tools, and execution environments, or they can opt for configuration via the Harness UI. This platform includes a shared workspace and an HTTP API tailored for applications that require managed agents, saved interactions, and the ability to resume previous sessions. Agents can function either locally or through a deployed service, featuring checkpointing capabilities for eligible operations. Additionally, the framework integrates with model providers, external software, web data services, and remote MCP servers, and it can be set up using Docker Compose or Kubernetes for easy deployment. It is specifically crafted for software developers and platform teams focused on creating AI-driven workflows and applications, while ensuring clients maintain control over their infrastructure and provider credentials. Consequently, A13n empowers developers to innovate and enhance their applications with advanced AI functionalities.

Description

dFlow is a self-hosted Platform-as-a-Service (PaaS) that prioritizes developers, allowing teams to deploy, manage, and scale their applications on private infrastructure while enjoying the ease and functionality typical of modern cloud services. Positioned as a self-hosted solution in comparison to platforms like Heroku and Railway, dFlow empowers developers, startups, and agencies to handle production workloads on their own servers, circumventing vendor lock-in and eliminating usage-based pricing limitations. At its foundation, dFlow leverages Docker for deployments, ensuring that application environments remain consistent and reproducible. Developers are enabled to deploy applications through container images or Dockerfiles, manage environment variables, access real-time logs, and oversee crucial application lifecycle operations like starting, stopping, restarting, and scaling. Moreover, dFlow features a comprehensive dashboard that facilitates the management of applications, servers, environments, and deployment workflows, streamlining the entire process for users. This all-in-one approach enhances collaboration and efficiency for development teams looking for greater control over their application infrastructure.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Model Context Protocol (MCP) Yes 
Ollama Yes 

Integrations

Model Context Protocol (MCP) No 
Ollama No 

Pricing Details

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 Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Converge AI

Website

a13n.dev/

Vendor Details

Company Name

dFlow

Founded

2025

Country

India

Website

dflow.sh/

Product Features

Product Features

Alternatives

Alternatives

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