{"slug": "made-a-rust-based-ai-agent", "title": "Made a Rust based AI agent", "summary": "The author developed and published a Rust-based AI agent from scratch, which supports local LLM execution via Ollama, DuckDuckGo web search, and async execution with Tokio, distributed as a cross-platform CLI binary. They note the entire source code is only ~25 KB, significantly smaller than equivalent Python-based agents, due to Rust's emphasis on direct runtime flow, error handling, and minimal dependency bloat. The project highlights that AI tooling is increasingly a systems engineering challenge rather than just a prompting problem.", "body_md": "I built and published a Rust AI agent from scratch in my journey to learn Rust.\nGitHub: https://github.com/Tejas1Koli/rust-ai-agent\ncrates.io: https: https://crates.io/crates/rust-ai-agent\nWhat it currently supports:\n• Local LLM execution with Ollama\n• DuckDuckGo web search\n• Async execution with Tokio\n• Structured logging\n• Typed configuration + validation\n• Cross-platform binaries (Linux/macOS/Windows)\n• Single-binary CLI distribution\nOne thing I found interesting while building this:\nThe entire source code is currently around ~25 KB.\nAn equivalent LangChain-style AI agent would usually end up much larger because of:\nframework layers → wrappers → middleware → orchestration abstractions\nRust forced me to think more directly about:\n• Runtime flow\n• Async execution\n• Tool orchestration\n• Error handling\n• Deployment\n• System design decisions\nCompared to many Python-based AI agents, Rust gives:\n• Lower runtime overhead\n• Better concurrency handling\n• Stronger type safety\n• Easier deployment through compiled binaries\n• Less dependency/runtime bloat\nBuilding this made me realize that AI tooling is increasingly becoming a systems engineering problem, not just a prompting problem.\nStill improving:\n• Provider abstractions\n• Streaming\n• Memory/runtime systems\n• Better orchestration flow\nYou can try it with:\ncargo install rust-ai-agent\nP.S. I used tutorials/documentation while building parts of this, but implementing and shipping it taught me much more than just watching content.", "url": "https://wpnews.pro/news/made-a-rust-based-ai-agent", "canonical_source": "https://dev.to/tejas1koli/made-a-rust-based-ai-agent-3oj1", "published_at": "2026-05-22 16:48:58+00:00", "updated_at": "2026-05-22 17:06:23.947448+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "open-source", "developer-tools"], "entities": ["Rust", "Ollama", "DuckDuckGo", "Tokio", "LangChain", "GitHub", "crates.io"], "alternates": {"html": "https://wpnews.pro/news/made-a-rust-based-ai-agent", "markdown": "https://wpnews.pro/news/made-a-rust-based-ai-agent.md", "text": "https://wpnews.pro/news/made-a-rust-based-ai-agent.txt", "jsonld": "https://wpnews.pro/news/made-a-rust-based-ai-agent.jsonld"}}