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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

OpenChiip Harness serves as an advanced framework for developers aiming to create self-hosted AI agents and orchestrate their workflows, whether they function independently or collaboratively. This innovative tool integrates large language model interactions, skill management, tool usage, multi-tiered memory systems, resource tracking, and teamwork among multiple agents, all presented through a user-friendly React-based admin dashboard. Users can operate it locally or link it to the OpenChiip platform to facilitate joint scheduling efforts. The system is equipped with a command-line interface, a web dashboard, an HTTP API, and a WebSocket interface, all of which enable effective management of chats, tools, sessions, memory, tasks, and performance monitoring. Additionally, it accommodates various model providers such as Baidu ERNIE and those compatible with OpenAI, along with the ability to delegate tasks to Codex or Claude Code. Installation options include pip, Docker, Linux packages, systemd, and Windows installers, while macOS users can also utilize pip for installation. The framework is distributed under the AIGCGPL-1.0 license, ensuring flexibility and openness for developers. With its comprehensive features, OpenChiip Harness is poised to significantly enhance the efficiency and effectiveness of AI agent workflows.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Claude Code No 
Model Context Protocol (MCP) No 
OWL Yes 
OpenAI No 
OpenAI Codex No 
OpenAgents Yes 
TraceRoot.AI Yes 

Integrations

Claude Code Yes 
Model Context Protocol (MCP) Yes 
OWL No 
OpenAI Yes 
OpenAI Codex Yes 
OpenAgents No 
TraceRoot.AI No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

OpenChiip Harness is distributed under AIGCGPL-1.0 with royalty-free use. Users provide a model-provider API key; provider usage charges may apply separately.
Free Trial No 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
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

OpenChiip

Founded

2024

Country

China

Website

www.openchiip.com

Product Features

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Alternatives

No Alternatives
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