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Average Ratings 0 Ratings
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
No images available
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/