codeitlikemiley/adk-rust

ADK-Rust is a toolkit for building AI agents, programs that can reason, call tools, remember conversations, and even handle voice interactions, using the Rust programming language. It just hit version 1.0, meaning it's considered stable and production-ready. The core pitch is that you can scaffold a new agent project in seconds, choose from templates like "tools," "RAG," or "realtime voice," and get something running immediately. At a high level, the framework gives you building blocks for every part of an agent's life: connecting to LLM providers (it supports Gemini, OpenAI, Anthropic, DeepSeek, Groq, Ollama, and many others through a single API), defining tools your agent can call, managing sessions and memory so agents remember context, and orchestrating multi-step workflows where agents run in sequence, in parallel, or in loops. You can also build voice agents with bidirectional audio streaming, set up retrieval-augmented generation pipelines for document search, and expose your agent through REST APIs or agent-to-agent communication protocols. There's a CLI tool that generates project scaffolding, compiles your agent, and helps with local development. This would appeal to developers building production AI systems who want Rust's performance and type safety. The project claims a 4.6x faster cold start compared to Python equivalents. Concrete use cases include voice assistants, agents that search and reason over documents, browser automation tools, commerce agents that can orchestrate payments, and multi-agent systems where different agents communicate with each other. Teams that need security features like role-based access control, audit logging, and content filtering get those built in. What stands out is the sheer breadth, 39 separate crates covering everything from sandboxed code execution to telemetry to evaluation frameworks. The tradeoff is that Rust has a steeper learning curve than Python, so you're trading ease of prototyping for performance and safety. There's also a playground where you can try 70+ sample agents online without installing anything, which lowers the barrier to exploring what the framework can do.