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Products that do what Rustacean AI – Tracking Rust's Expanding Role in AI does
Rustacean AI, a weekly newsletter exploring how Rust is shaping the future of AI and Machine Learning. Issue #1: From Models to Data — Rust’s Expanding Role in AI Covers the growing Rust ecosystem around AI frameworks (Burn), data systems (Polars, Qdrant, Daft), and emerging tools that power safe, high-performance pipelines. The goal is to curate news, releases, and experiments from across the Rust + AI community — helping developers follow how the language is influencing the next generation of infrastructure. Read first issue here →…
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2019 · github.com
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Hi HN, Founder here. We built Pica, an open-source platform in Rust to enable agentic AI with three main focus areas: - Access to APIs and tools: Universal SDKs that let AI agents use thousands of external actions without blowing up your context window. - Visibility and traceability: Full audit logs of every decision/action to ensure transparency and accountability. - Alignment with human intentions: Seamless guardrails for autonomous tasks; e.g., restricting certain email actions to human approval. Why this matters: As autonomy in AI grows, we need robust solutions for trust and…
2025 · picaos.com
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2014 · github.com
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2020 · github.com
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2025 · spiceai.org
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I started this trying to understand two things: why my Asian friends turn red after drinking, and why several friends all seemed to have migraine clusters. I was reading medical papers and textbooks, but kept getting lost jumping between topics. I thought: what if I could just Cmd+Click through this like code? What if "ALDH2 gene" was actually clickable, and took me to the variant, the phenotype, the population frequencies? So I started modeling human biology in Rust with my Ralph agent (Claude in a loop, ty ghuntley). Turns out the type system is perfect for this. Every biological entity is…
Oct 2025 · github.com
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Hi everyone, I'm happy to announce the release of Kalosm! [Kalosm](https://floneum.com/kalosm/) is a framework for embedded AI in rust. ## What is Kalosm? Kalosm provides a simple interface for pre-trained language, audio, and image models models. To make it easy to use with these models in your application, Kalosm includes a set of integrations other systems like your database or documents. ```rust use kalosm::language::*; #[tokio::main] async fn main() { let mut model = Llama::new_chat(); let mut chat = Chat::builder(&mut model) .with_system_prompt("The assistant will…
2024 · floneum.com
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2017 · juggernaut.rs
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I'm an "ideas person" who messes around with AI on a low budget. I got tired of watching my tokens vanish and context windows filling up while agents fumbled around trying to find the right thing. Agents don't flail like they used to with shell tools, but there are still weak/blind spots and back-and-forth episodes — especially when using tools in combination/sequence. So I built "tilth" today. Or rather, AI built it — every line is Opus 4.6. I spent a lot of my precious tokens getting it to "not shit" (at least several of the different vendors' AI overlords assure me it's not…
Feb 2026 · github.com
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2016 · github.com
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2018 · github.com
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Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a…
Dec 2025 · docs.trysoma.ai
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Hi HN! A few months ago, EntICOnc shared a blog post I wrote about using Rust from the perspective of a Python developer [0] which was well received, with some positive as well as mixed feedback. One thing I didn’t foresee would happen, is this little post getting a lot of attention, especially from the data engineering crowd which I consider myself a part of. Looking at the feedback, it was clear that there are some resources missing for a specific use case for which I think Rust is a perfect candidate: Data Engineering. Currently, Data Engineering is dominated by languages like Java, Scala…
2023 · datawithrust.com
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2024 · query.rs
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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Hi everyone, wanted to share about gline-rs, an inference engine for GLiNER models written in Rust. This family of lightweight language models proved to be efficient at zero-shot Named Entity Recognition (NER) and other tasks such as Relation Extraction, while consuming less resources than large generative models (LLMs). This implementation has been written from the ground up in Rust, and supports both span- and token-oriented variants (for inference only). The goal is to provide a production-grade and user-friendly API in a modern and safe programming language, including a clean and…
2025 · github.com
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AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure. - mezmo/aura
4d ago · github.com
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My friend and I have been collaborating on this lighthearted introduction to doing geospatial computation in rust. Don't know Rust? Don't know geospatial? I'd be interested to know what you think.
2022 · book.georust.org
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About a year ago I was working on a project with mirrored Kubernetes clusters deployed across various regions. Constantly switching contexts was a big pain for me and I badly needed something more practical to work with multiple clusters, ideally simultaneously. At that time everyone was talking about Rust and I really wanted to try it out. I then found Tauri, a framework to build GUI apps with Rust + JavaScript. I was sold. I learned Rust and built the app I always wanted to use. Fast, lightweight and with the ability to connect to multiple clusters simultaneously. Fast forward to today,…
2023 · aptakube.com
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A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde.
Mar 2026 · github.com
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2025 · github.com
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2021 · github.com
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May 2026 · github.com
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