SuperAPI AI Directory

Arcee AI

Arcee AI delivers purpose-built AI agents, powered by industry-leading small language models (SLMs) for enterprise applications. Our offering, Arcee Orchestra, is an end-to-end agentic AI solution that enables businesses to create AI agents for complex tasks. The solution makes it easy to build cust

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About this tool

Arcee AI is an open intelligence lab headquartered in the United States that advocates that AI works best when people can build freely, and therefore develops open-weight models in the United States and releases them to everyone. Its models are characterized by being open-weight, transparent, and customizable, and can run wherever they are needed.

In terms of main capabilities, Arcee offers the Trinity family of open-weight models, which includes multiple models: Trinity Large Thinking provides frontier reasoning capabilities for the hardest problems; Trinity Mini is the everyday workhorse model balancing performance and speed; Trinity Nano is ultra-lightweight and fast enough to run on-device. The design goal of this model family is to be able to run in any environment. The official materials also introduce Genesis-Science-1, an open-weight model for scientific research.

In terms of usage, users can build and publish applications on Arcee's API, or download the models and run them themselves. Because every model is open-weight, users can inspect, fine-tune, and put them into production on their own terms. The official content also mentions how to use Hermes Agent with Trinity Large Thinking.

For enterprise scenarios, Arcee offers Arcee Orchestra—an end-to-end agentic AI solution that enables enterprises to create AI agents for complex tasks. In addition, Arcee has also released NAC, an open-source harness for long-running agent work. Arcee has established a collaboration with Bolt on Forge.

Applicable scenarios include: developers and enterprises that need to run or fine-tune language models in their own environments; organizations that need to build AI agents for complex tasks; and research and production uses that require open-weight, inspectable, customizable models.

In terms of limitations, detailed information about pricing, deployment platforms, specific usage steps, and feature performance is not yet provided in the official materials.