AI · alternatives · 2026
24 alternatives to Red Candle – Run LLMs Natively in Ruby with Rust
I've been working on Red Candle, a Ruby gem that runs LLMs (Llama, Mistral, Gemma, Phi) directly in your Ruby process through Rust bindings (based on the candle crate from Hugging Face). No Python, no servers - just FFI with Metal/CUDA acceleration. It's been useful for adding AI features to Rails apps without the complexity of managing separate services. Would love feedback from anyone working with LLMs in Ruby.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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> "In a world without nil safety, one gem dares to ask: 'What if we just guessed?'"
Oct 2025 · github.com · its alternatives →
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I built this out of curiosity about what Claude Code was actually sending to the API. Turns out, watching your tokens tick up in real-time is oddly satisfying. Sherlock sits between your LLM tools and the API, showing you every request with a live dashboard, and auto-saved copies of every prompt as markdown and json.
Jan 2026 · github.com · its alternatives →
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Terminal user interfaces in Ruby. RatatuiRuby wraps Rust
Jan 2026 · ratatui-ruby.dev · its alternatives →
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I built a bot that plays Pokémon FireRed. It can explore, battle, and respond to game events. Farthest I made it was Viridian Forest. I paused development a couple months ago, but given the launch of ClaudePlaysPokemon, decided to open source!
2025 · github.com · its alternatives →
- 7SA
2022 · shalerb.org · its alternatives →
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G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
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Hi HN! I built Oxyde because I was tired of duplicating my models. If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework. I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is…
Mar 2026 · github.com · its alternatives →
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Minimal HTTP(S) forward proxy using 150LOC and only standard libraries. - jamesmoriarty/forward-proxy
2021 · github.com · its alternatives →
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We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
2025 · github.com · its alternatives →
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Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com · its alternatives →
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I built a Ruby gem for memoization with TTL + LRU cache. It’s thread-safe, and has been helpful in my own apps. Would love to get some feedback: https://github.com/mishalzaman/memo_ttl
2025 · github.com · its alternatives →
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TL;DR - http://www.gemfury.com - pre-launch feedback appreciated Hello HN, In true hacker tradition, a tool built for ourselves often grows into a service of its own. In the past few months, we've been polishing our private RubyGem server into something that other Ruby developers can use. Today, I'd like to ask for your feedback on where we stand and whether we're "launch-ready". The service is called Gemfury and offers customers a private RubyGem repository in the cloud. The story is that many RubyGems are built as open source and solid infrastructure exists to develop and distribute those.…
2012 · gemfury.com · its alternatives →
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Hi HN — we're the team behind Arch (https://github.com/katanemo/archgw), an open-source proxy for LLMs written in Rust. Today we're releasing Arch-Router (https://huggingface.co/katanemo/Arch-Router-1.5B), a 1.5B router model for preference-based routing, now integrated into the proxy. As teams integrate multiple LLMs - each with different strengths, styles, or cost/latency profiles — routing the right prompt to the right model becomes a critical part of the application design. But it's still an open problem. Most routing systems fall into two…
2025 · its alternatives →
- 18GE
2019 · fiddle.dragonruby.org · its alternatives →
- 19LS
2023 · rsc-llm-on-the-edge.vercel.app · its alternatives →
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RubyLLM provides a unified interface to OpenAI, Anthropic, Google, and DeepSeek models with a clean, elegant API that feels like Ruby. What makes it different? Beautiful interfaces: chat = RubyLLM.chat embedding = RubyLLM.embed("Ruby is elegant") image = RubyLLM.paint("a sunset over mountains") Works with multiple providers through one API: # Start with GPT chat = RubyLLM.chat(model: 'gpt-4o-mini') # Switch to Claude? No problem chat.with_model('claude-3-5-sonnet') Streaming that makes sense: chat.ask "Write a story" do |chunk| print chunk.content # Same chunk format for all providers end…
2025 · rubyllm.com · its alternatives →
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Built this for streaming AI tool calls. LLMs stream function arguments as JSON character-by-character. Most parsers reparse from scratch each time - O(n²) behavior that causes UI lag. This maintains parsing state, processing only new characters. True O(n) performance that stays imperceptible throughout the entire response. Ruby gem, MIT licensed. Would love feedback.
Oct 2025 · aha.io · its alternatives →
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Hi HN, We built Xybrid, a Rust library for running LLM + speech pipelines directly inside your app, no server, no daemon, just one binary. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shipped applications without relying on a separate server process. Xybrid links into your process like any other library. It supports GGUF / ONNX / CoreML and integrates with Flutter, Swift, Kotlin, Unity, and Tauri, letting you run pipelines like speech → LLM → speech in a single call. On…
Mar 2026 · github.com · its alternatives →
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I wanted to run AI from inside the JVM. I started out with the standard REST sidecar, ripped that out to use Project Panama (Foreign Function & Memory API) in the new JDK versions to interface directly with llama.cpp. I still wasn't happy with how that functioned, so I built libargus.cc to get a clean ABI to expose a structured API up in the JVM landscape. It still uses Project Panama to interface directly with llama.cpp, whisper.cpp, and ggml compute graphs. I have zero-allocation on the hot paths, memory segments for prompts and tokens are allocated once inside confined Arenas. Raw…
Jul 2026 · github.com · its alternatives →
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Hi all, I open sourced my toy project that runs Generative AI models LOCALLY in the side panel of a Chrome extension. The Chrome extension uses Transformers.js to run models in browser under the hood. I've integrated and tested these models so far. \1. LLM: Llama 3, Phi 3.5, Qwen 2.5, SmolLM2 \2. Reasoning: DeepSeek R1 \3. Multimodal LLM: Janus \4. Speech-to-Text: Whisper On an M1 MacBook, DeepSeek R1 1.5B runs at ~30 tokens/sec If you're interested in, you can download the extension from chrome web store or clone my github repository. \1. chrome web store:…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →