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Description
Swarm is an innovative educational framework created by OpenAI that aims to investigate the orchestration of lightweight, ergonomic multi-agent systems. Its design prioritizes scalability and customization, making it ideal for environments where numerous independent tasks and instructions are difficult to encapsulate within a single prompt. Operating solely on the client side, Swarm, like the Chat Completions API it leverages, maintains a stateless design, which enables the development of scalable and practical solutions without a significant learning curve. Unlike the assistants found in the assistants API, Swarm agents, despite their similar naming for ease of use, function independently and have no connection to those assistants. The framework provides various examples that cover essential concepts such as setup, function execution, handoffs, and context variables, as well as more intricate applications, including a multi-agent configuration specifically designed to manage diverse customer service inquiries within the airline industry. This versatility allows users to harness the potential of multi-agent interactions in various contexts effectively.
Description
Eve serves as a framework for creating agents, akin to how Next.js functions for web applications, offering a specialized environment for agent development. It employs Markdown to articulate instructions and skills, while TypeScript is utilized for implementing tools, ensuring durable execution by default. An agent is essentially a directory that outlines its instructions and skills using Markdown, defines tools through TypeScript, and facilitates deployment. Eve meticulously compiles this directory, orchestrates durable workflows, and integrates various channels, providing developers with a systematic approach to construct production-ready agents without the need to piece together disparate solutions. An instructions.md file can represent a fully functional agent, and the agent.ts file empowers teams to select a model or adjust the runtime configuration. Skills can be reused as Markdown playbooks that are loaded when needed, allowing the agent to receive targeted guidance without the burden of carrying unnecessary information in every prompt. Tools are introduced as TypeScript files, with their filenames serving as the tool names, eliminating the requirement for any registration process. Each agent operates within its own isolated sandbox and includes file tools, and there is also the option for custom sandbox configurations, enhancing flexibility for developers. This robust framework not only streamlines agent creation but also fosters innovation by allowing developers to focus on building unique functionalities.
API Access
Has API
API Access
Has API
Integrations
Discord
Facebook Messenger
GitHub
Google Chat
Linear
Markdown
Microsoft Teams
Next.js
OpenAI
Pillar Security
Integrations
Discord
Facebook Messenger
GitHub
Google Chat
Linear
Markdown
Microsoft Teams
Next.js
OpenAI
Pillar Security
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
github.com/openai/swarm
Vendor Details
Company Name
Vercel
Founded
2015
Country
United States
Website
vercel.com/eve
Product Features
Product Features
Alternatives
Alternatives
No Alternatives
