Eidolon provides an open-source Agent Service SDK and deployment server for building and deploying agent-based services. It targets developers creating agentic applications, offering a pluggable, enterprise-ready solution that simplifies deployment and inter-agent communication.

How It Works

Eidolon treats agents as services with built-in HTTP servers, enabling straightforward deployment. Communication between agents is facilitated through well-defined interfaces and dynamically generated OpenAPI JSON schemas for tools. Its modular design allows for easy swapping of components like LLMs, RAG implementations, and tools, preventing vendor lock-in and simplifying upgrades in the fast-evolving AI landscape.

Quick Start & Requirements

• Installation: pip install eidolon-ai
• Prerequisites: Python 3.8+, Docker (for deployment).
• Resources: Requires API keys for LLM providers (e.g., OpenAI, Anthropic).
• Documentation: Eidolon's website and Quickstart Guide.

Highlighted Details

• Pluggable architecture for LLMs, RAG, and tools.
• Agent-to-agent communication via OpenAPI schemas.
• Built-in HTTP server for easy deployment.
• Focus on modularity to avoid vendor lock-in.

Maintenance & Community

• Active development with contributions from multiple individuals.
• Community engagement via Discord.
• A catalog of "good first issues" for new contributors.

Licensing & Compatibility

• License: Apache 2.0.
• Compatibility: Permissive license suitable for commercial use and integration into closed-source applications.

Limitations & Caveats

The project is presented as an SDK and server for agentic applications, implying it's a foundational layer rather than a complete end-user application. Specific performance benchmarks or advanced deployment patterns are not detailed in the README.