Eidolon

Eidolon is an AI Agent Server for the Enterprise, providing an open-source framework to rapidly build and deploy powerful generative AI applications. It enables developers to create and manage agentic AI solutions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Eidolon?

Eidolon is presented as the industry's first AI Agent Server for the Enterprise, offering an open-source framework for developers to quickly build and deploy sophisticated generative AI applications. It functions as a secure, enterprise-ready deployment server for agentic applications, referred to as an Agent OS. The Eidolon SDK provides a pluggable AI Agent framework, allowing developers to define agents using declarative YAML, integrate RAG storage, and build multi-model chatbots. Agents can be deployed directly to Kubernetes, ensuring scalability and enforceable policies. Consumption of agents is flexible, supporting React components for GUIs, HTTP REST APIs, and a command-line interface (CLI) for experimentation.

Best used for

Ideal for developers who need to rapidly build and deploy enterprise-grade generative AI applications, integrate RAG capabilities into their agents, and manage complex agent interactions. Especially valuable for those requiring secure, scalable deployment to Kubernetes and flexible consumption options via APIs or GUIs.

Common actions

build AI agents

deploy AI applications

integrate RAG

manage AI agents

develop chatbots

Capabilities

Key features

Enterprise-grade agent server
Puggable AI Agent framework
Declarative YAML agent definition
Kubernetes deployment
React components for GUI
HTTP REST API
CLI interaction

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

FAQs

What kind of AI agents can be built with Eidolon?

Eidolon supports building a variety of AI agents, including multi-model chatbots, agents for searching code and documentation, and manager agents that can coordinate other specialized agents like engineers and QA workers. Agents can be defined using simple declarative YAML.

How does Eidolon facilitate the deployment of AI agents?

Eidolon agents are designed to be deployed directly to Kubernetes, treating them as infrastructure. This allows for scalable, stateless agents that can be managed using existing Kubernetes tools and pipelines, ensuring policies are enforced for resource access.

What options are available for consuming or interacting with agents built using Eidolon?

Users can interact with Eidolon agents through several methods: building a GUI with provided React components, running actions directly via the HTTP REST API, or using the Eidolon command-line interface (CLI) for ad-hoc experimentation and interaction.

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