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AI · alternatives · 2026

24 alternatives to Eldon

Local Gemma 4 agent runtime. 39 tools. 7GB VRAM. No cloud.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1

    Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…

    Jul 2026 · github.com · its alternatives →

  2. 2

    Locally run an Instruction-Tuned Chat-Style LLM . Contribute to antimatter15/alpaca.cpp development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  3. 3

    I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…

    Feb 2026 · github.com · its alternatives →

  4. 4

    Google's most intelligent open models to date

    Apr 2026 · blog.google · its alternatives →

  5. 5

    Gemma Gem is a Chrome extension that loads Google's Gemma 4 (2B) through WebGPU in an offscreen document and gives it tools to interact with any webpage: read content, take screenshots, click elements, type text, scroll, and run JavaScript. You get a small chat overlay on every page. Ask it about the page and it (usually) figures out which tools to call. It has a thinking mode that shows chain-of-thought reasoning as it works. It's a 2B model in a browser. It works for simple page questions and running JavaScript, but multi-step tool chains are unreliable and it sometimes ignores its tools…

    Apr 2026 · github.com · its alternatives →

  6. 6
    Runtimefree tier, from $99/mo▲303

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com · its alternatives →

  7. 7

    JSON AST > Clojure. Contribute to quadracollision/llmisp development by creating an account on GitHub.

    May 2026 · github.com · its alternatives →

  8. 8

    WASM sandbox for running LLM-generated code safely. Agents get a bash-like shell and can only call tools you provide, with constraints you define. No Docker, no subprocess, no SaaS — just pip install amla-sandbox

    Jan 2026 · github.com · its alternatives →

  9. 9
    Gemma▲259

    Google’s new state-of-the-art open source LLMs

    2024 · deepmind.google · its alternatives →

  10. 10

    Hey HN, Henry & Roman here from Cactus. A small, on-device model is fast and private, but sometimes wrong, but frontier models are getting expensive pretty fast. So, we post-trained Gemma 4 E2B post-trained to know when it's wrong. Every response comes with a confidence score between 0 and 1. Developers can accept the on-device when it's high, hand off to a bigger cloud model when it's low. By routing only 15-35% of queries to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks. - ChartQA: 15-20% - LibriSpeech: 25-30% - MMBench, GigaSpeech, MMAU: 30-35% -…

    Jul 2026 · github.com · its alternatives →

  11. 11RL

    A week of benchmarks on a Xeon CPU box. TurboQuant ≠ 8× faster, speculative decoding ≠ universal win, ik_llama.cpp breaks parallel calls. Gemma-4-E4B-it on stock llama.cpp wins. Eleven cells, full source, MIT.

    Jun 2026 · deemwar-products.github.io · its alternatives →

  12. 12
    Epho▲156

    Hey folks, Burak here. Epho is an API that allows running Claude Code, Codex or Opencode in a sandbox in the cloud. It abstracts away sandboxes, and allows running coding agents with a single HTTP request. Epho came out of our own struggles with building our own AI analyst: - Sandboxes give you bare machines; you need to configure them for agentic workloads. - Each agent behaves differently, and you need to build integrations with each of them. - Sandbox providers are not very reliable, which means you need to figure out a multi-provider strategy to avoid failures. - Logging, artifacts,…

    Aug 2026 · epho.io · its alternatives →

  13. 13

    Hi HN, I’m the creator of pycoClaw. I wanted to run OpenClaw-class, platform-agnostic, autonomous agents on MicroPython hardware, but standard tools couldn't handle the scale of the task. pycoClaw is the result, which bridges the gap between high-level AI reasoning and bare-metal execution. The Stack: - PFC Agent (~26k LOC): A full-featured agent that uses an LLM to 'self-program' its own local MicroPython scripts. Once a task is solved, it runs locally without requiring the LLM. - ScriptoStudio IDE: A PWA https://scriptostudio.com designed for the iteration speed required by…

    Mar 2026 · pycoclaw.com · its alternatives →

  14. 14
    NobodyWho▲106

    Hey, Hello, we are the team behind NobodyWho; an open-source plugin that embeds large language models functionality inside Unity and Godot games - completely locally and offline. We try to make it as easy and user friendly as possible to use our plugin, so feel free to create an issue on our GitHub if you have any inconveniences - and we will try to improve it! So why might this interest you: - Written in Rust with llama.cpp bindings and optional GPU back-ends (Vulkan / Metal) for fast inference. - Drop-in nodes / components: add a model asset and a chat or embedding node and get a…

    Aug 2026 · github.com · its alternatives →

  15. 15

    Hi HN, I spent my easter weekend stuck in the house with COVID and I decided to play with llama.cpp [1] and fauxpilot [2] to see if I could get LLM code assist working on pure CPU. As a proof of concept I'd say I've proven that it's possible. However there's still a lot to do. The auto complete is quite slow at the moment. PRs welcome. [1] https://github.com/ggerganov/llama.cpp [2] https://github.com/fauxpilot/fauxpilot

    2023 · github.com · its alternatives →

  16. 16

    What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI flags, or download GBs of extras. I wanted something my less-technical colleagues could run during a client visit by literally plugging in a USB drive. How it works PyInstaller one-file build → bundles Python runtime, llama_cpp_python, and the UI into a single PE. On first launch, it…

    2025 · github.com · its alternatives →

  17. 17

    An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python. - StamManif/mcp-stama

    Aug 2026 · github.com · its alternatives →

  18. 18

    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 →

  19. 19

    Run Claude Code, Codex, AGY, and Grok Build side by side on your Mac. Every change gets reviewed by a second agent before you accept it.

    18d ago · offrun.dev · its alternatives →

  20. 20

    Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory

    Dec 2025 · github.com · its alternatives →

  21. 21MG

    Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…

    2023 · avapls.com · its alternatives →

  22. 22

    I made my first macOS utility app that ships with a bundled Gemma 4 model, specifically the Gemma E4B one. It made my app DMG have 5.3 GB in size, but I think it is a small size for the power that this free local model can provide. It runs fine on CPU, but can also run on Apple Silicon GPU, although I did not notice any performance improvements with GPU (tested on a M5 chip). I think these local lightweight and multimodal models will open multiple possibilities for new software tools where privacy is essential.

    May 2026 · snapname.app · its alternatives →

  23. 23

    Run Claude Code, Codex, Cursor, and OpenCode on mobile and write code from your phone. Shellular gives you secure remote access to your dev machine: a real agent UI, terminal, files, Git, ports, and browser DevTools, all from your phone.

    Jul 2026 · shellular.dev · its alternatives →

  24. 24
    Aether▲26

    Since coding agents like Claude Code and Codex came out, I've been pretty obsessed with them. It's hard not to when you're getting a 20x discount on inference. I've also been frustrated by them a lot. I hated walking around with my laptop lid open while connected to a hotspot on my phone, having to tediously accept commands so I don't lose my root directory, and running out of RAM when running multiple agents that were spinning up dev servers in different worktrees at once. A lot of people would say existing cloud agents are the solution to this, as none of the above problems apply to any…

    Jul 2026 · runaether.dev · its alternatives →

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