# OpenAgents

- **Website:** <https://openagents.org>
- **Primary alias:** `openagents.org`

## Description

OpenAgents is an innovative open-source framework meticulously crafted to facilitate the connection and orchestration of AI agents at scale. Designed to empower seamless collaboration among millions of AI agents, OpenAgents enables users to leverage a range of powerful features. It supports standardized communication protocols that allow agents from various frameworks to interact smoothly, fostering the creation of robust and flexible agent networks. 

A cornerstone of OpenAgents is its advanced architecture, engineered to handle millions of concurrent agents through efficient resource allocation, distributed processing, and intelligent load balancing. This decentralized swarm model allows diverse AI agents to autonomously share information and delegate tasks, making it possible to tackle complex challenges collaboratively.

The community-driven initiative provides essential tools for agent discovery, coordinated task management, and effective communication, ensuring that agents can work together efficiently. With contributions from developers and researchers worldwide, OpenAgents is not just a framework but a platform for innovation in AI collaboration, suitable for diverse applications such as customer service automation, research assistance, and beyond.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [github](https://github.com/omniagents)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idRbu6NDjS/w/840/h/840/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1746134100043)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Fuchsia Blue | #7444c0 | accent |
| Ebony | #0f172a | dark |
| White | #ffffff | light |

## Fonts

- var(--font-inter) — asset _(custom)_

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_Source: <https://brandfetch.com/openagents.org>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._