Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CAMEL-AI represents the inaugural framework for multi-agent systems based on large language models and fosters an open-source community focused on investigating the scaling dynamics of agents. This innovative platform allows users to design customizable agents through modular components that are specifically suited for particular tasks, thereby promoting the creation of multi-agent systems that tackle issues related to autonomous collaboration. Serving as a versatile foundation for a wide range of applications, the framework is ideal for tasks like automation, data generation, and simulations of various environments. By conducting extensive studies on agents, CAMEL-AI.org seeks to uncover critical insights into their behaviors, capabilities, and the potential risks they may pose. The community prioritizes thorough research and seeks to strike a balance between the urgency of findings and the patience required for in-depth exploration, while also welcoming contributions that enhance its infrastructure, refine documentation, and bring innovative research ideas to life. The platform is equipped with a suite of components, including models, tools, memory systems, and prompts, designed to empower agents, and it also facilitates integration with a wide array of external tools and services, thereby expanding its utility and effectiveness in real-world applications. As the community grows, it aims to inspire further advancements in the field of artificial intelligence and collaborative systems.
Description
OpenHarness is an open-source SDK developed in TypeScript, designed for developers aiming to create tailored AI-agent applications such as coding assistants, command-line tools, and web-based helpers. This toolkit features stateless agent execution, the ability to manage conversation states explicitly, and support for streaming events, alongside middleware that can be composed for retries, data persistence, and context management. Additionally, it supports hierarchical subagents and tools that operate under permission controls. Developers can easily link model providers via the Vercel AI SDK, enhance functionalities with the Model Context Protocol (MCP), and utilize filesystem or shell tools through customizable providers. The SDK includes React hooks and Vue composables to facilitate the integration of streaming agent outputs into various application interfaces. OpenHarness is available as an npm package and is designed for integration into projects that run on Node.js or edge environments, functioning as a developer-focused library rather than a service for end-users. Moreover, its architecture encourages flexibility and scalability in AI application development, allowing users to tailor their implementations to specific needs.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Anthropic
No
Model Context Protocol (MCP)
No
OWL
Yes
OpenAI
No
OpenAgents
Yes
TraceRoot.AI
Yes
Vercel AI SDK
No
Integrations
Anthropic
Yes
Model Context Protocol (MCP)
Yes
OWL
No
OpenAI
Yes
OpenAgents
No
TraceRoot.AI
No
Vercel AI SDK
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CAMEL-AI
Founded
2023
Country
United States
Website
www.camel-ai.org
Vendor Details
Company Name
OpenHarness
Website
open-harness.dev/
Product Features
Product Features
Alternatives
Alternatives
No Alternatives