Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Swamp is a versatile automation framework and command-line utility designed to assist both AI agents and humans in creating, executing, and reusing workflows that can be repeated. Users can specify various behaviors and methods, integrate them into comprehensive workflows, and preserve structured, versioned outputs for future reference and analysis. The command-line interface caters to AI coding systems, including Claude Code, Cursor, and Codex, as well as individuals operating through a terminal. Additional extensions enrich the platform by incorporating functionalities for services like GitHub, Kubernetes, Slack, various cloud services, and monitoring applications. Swamp also provides features such as encrypted credential vaults, workflows that can be triggered on a schedule or via webhooks, access control mechanisms, audit logs, and the ability for remote execution, making it suitable for collaborative team environments. Teams have the option to maintain data in a local repository, or they can set up their own server and shared datastore infrastructure. While the software is available at no cost for individual users, there are subscription plans available for team usage. Additionally, its user-friendly approach allows for seamless integration into various existing workflows, enhancing productivity and efficiency.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude Code
Yes
Cursor
Yes
GitHub
Yes
Kubernetes
Yes
Model Context Protocol (MCP)
No
Ollama
No
OpenAI Codex
Yes
Slack
Yes
Integrations
Claude Code
No
Cursor
No
GitHub
No
Kubernetes
No
Model Context Protocol (MCP)
Yes
Ollama
Yes
OpenAI Codex
No
Slack
No
Pricing Details
$0
The Personal plan is free. The Team plan starts at $9 per user per month with annual billing.
Free Trial
Yes
Free Version
Yes
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
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
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
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
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
Swamp Club
Founded
2026
Country
United States
Website
swamp-club.com
Vendor Details
Company Name
Converge AI
Website
a13n.dev/
Product Features
Product Features
Alternatives
Alternatives
No Alternatives