Eidolon AI is an open-source framework billed as the first AI Agent Server for enterprise use. It provides two core components: a pluggable Agent SDK that lets developers define and compose agents, and a production-ready deployment server based on a microservice architecture. Agents in Eidolon are HTTP services with built-in REST API exposure, meaning each agent is independently deployable and interoperable with other agents via dynamically generated OpenAPI schemas. At the center of the SDK is the Agent Processing Unit (APU), a model-agnostic, multi-modal abstraction layer that handles LLM calls and state management. Developers can swap out LLM backends, RAG implementations, memory stores, and tool integrations without rewriting agent logic, eliminating vendor lock-in. Agent definitions use a declarative YAML syntax, keeping configuration separate from code. Eidolon includes built-in support for Retrieval-Augmented Generation (RAG), React UI components for chatbot frontends, and pluggable privacy and compliance components to meet regulatory requirements. The server integrates with Kubernetes for secure, scalable production deployments, making it suitable for enterprises with strict infrastructure requirements. The project is actively maintained on GitHub (491 stars, last updated May 2026, Apache-2.0 license) with a quickstart template repository and an agent-machine template for rapid onboarding. It targets backend developers and platform engineers who need to ship production AI agents without building infrastructure from scratch. Key features: - Agent Processing Unit (APU): model-agnostic, multi-modal LLM abstraction with built-in state management - Declarative YAML syntax for defining agents and pipelines - Microservice architecture: each agent is an independent HTTP service with auto-generated OpenAPI schema - Pluggable components: swap LLMs, RAG backends, tools, and privacy modules with no vendor lock-in - Built-in RAG storage integration with customizable retrieval strategies - React UI components for building chatbot frontends against agent APIs - Kubernetes-native deployment for scalable, secure enterprise production use - Agent-to-agent communication via REST, enabling multi-agent orchestration
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