ADK-Rust

Hey Product Hunt 👋 Over the last year I’ve been shipping AI agents into real production systems and writing The Complete AI Blueprint, where I broke down pretty much every major agent framework out there. Seeing them side by side made one thing painfully clear: every tool forces a trade-off. If it’s powerful, it’s heavy or hard to reason about. If it’s simple, it’s rigid or locks you in. I tried and studied a lot of them: LangChain — flexible, but big memory footprint and slow cold starts LangGraph — strong patterns, steep learning curve OpenAI SDK — clean, but tightly coupled to one provider Google ADK — very opinionated, solid guardrails, but rigid outside its happy path Autogen — genuinely good agent design ideas, but discontinued by Microsoft, which makes it risky to build on Each had ideas worth learning from. None felt like something I could confidently ship and scale long-term. So instead of stacking more abstractions on top, I built what I actually needed: ADK-Rust. Rust wasn’t about novelty—it was about control. When Discord rewrote their voice backend in Rust, they cut CPU usage by ~75%. That’s the kind of predictability you want for agents that run continuously, speak in real time, or sit on the edge. What ADK-Rust looks like today: -Fast startup and low memory (tens of MB, not hundreds) - No provider lock-in (OpenAI, Anthropic, Gemini, DeepSeek) - Real-time voice agents (OpenAI Realtime + Gemini Live) - Stateful workflows inspired by LangGraph, without the overhead - A single small binary you can actually deploy - It’s built for teams where “just use Python” eventually becomes a liability: real-time systems, edge deployments, regulated environments, performance-sensitive workloads. If you want to try it: cargo add adk-rust cargo run --example quickstart What we would really love is your feedback: - Which agent patterns are you struggling with right now? - What’s been the biggest blocker to using Rust for AI? - What should I focus on next? We think you’ll love ADK-Rust because: - It’s built for production performance Fast startup, low memory, streaming by default, and a single small binary you can actually deploy. - It grows with you instead of boxing you in a single platform Start simple, add workflows, graphs, voice, tools, and memory as needed—no rewrites, no lock-in. - It’s easier to reason about when things get complex Strong typing, real examples, and fewer hidden abstractions mean less guesswork and fewer surprises. Best James