I've been working on ADK-Rust - a production-ready framework for building AI agents in Rust. After a year researching frameworks (LangChain, LangGraph, OpenAI SDK) and writing books about them, I found they all compromise between simplicity and power and tilt towards vendor lock-in.

ADK-Rust combines the best patterns into one open source modular framework:

• Multi-provider: OpenAI, Anthropic, Gemini, DeepSeek
• Real-time voice agents (OpenAI Realtime API, Gemini Live)
• LangGraph-style state machines with checkpointing
• 12 modular crates (use only what you need)
• 10x more memory efficient than Python
• Single 15MB binary deployment

Check out the github repo and let me know how i can improve it or any serious design issues from an architecture perspective. GitHub - zavora-ai/adk-rust: Rust Agent Development Kit (ADK-Rust): Build AI agents in Rust with modular components for models, tools, memory, realtime voice, and more. ADK-Rust is a flexible framework for developing AI agents with simplicity and power. Model-agnostic, deployment-agnostic, optimized for frontier AI models. Includes support for real-time voice agents.

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