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Eidolon AI

Eidolon AI AI Agent
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Overview

Eidolon is an open-source SDK and agent server that exposes agents as HTTP services.

Eidolon is an open-source SDK and agent server that exposes agents as HTTP services. Its pluggable components support agent-to-agent calls and configurable LLM, memory and tool implementations. The documented quickstart uses Docker Compose; Kubernetes is not required for that path.

Apache-2.0 source; model APIs and deployment infrastructure incur their own costs. No verified commercial support price was found.

Historical demo: Eidolon co-founder presentation, November 4, 2024.

Product overview

Capabilities, pricing and fit

Eidolon is an open-source SDK and agent server that exposes agents as HTTP services. Its pluggable components support agent-to-agent calls and configurable LLM, memory and tool implementations. The documented quickstart uses Docker Compose; Kubernetes is not required for that path.

Information as of September 30, 2026

What it can do

  • Workflow

    Expose agent actions through a built-in HTTP server and OpenAPI-described interfaces.[1], [2]

  • Configuration

    Configure interchangeable model, memory and tool components and agent-to-agent communication.[1], [2]

Where it fits best

  • Developers building agent services with an explicit server and deployment architecture.[1], [2]

Pricing and availability

Apache-2.0 source; model usage and hosting have separate costs. Confirm commercial support terms if needed.[1], [2]

Platforms: Developer library / source code[1], [2]

Access: Developer-managed[1], [2]

Sources (2)
  1. Eidolon AI — product evidenceGitHub · checked 2026-09-30
  2. Eidolon AI — documentation and detailsOfficial site · checked 2026-09-30

Autonomy level

76/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Eidolon runs developer-defined agents with configured models, memory, tools and agent-to-agent communication. Developers design the actions, supply credentials and deploy the service; people review outcomes and maintain the system.

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Some of the use cases of Eidolon AI:

  • Developers building agent services with an explicit server and deployment architecture.

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Popularity level: 65%

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