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AI · alternatives · 2026

24 alternatives to JS Local-only AI Apps starter kit: cost $0 to run and test locally

Hi HN! Here's a local-only stack I built over the weekend - hope it can be useful for you! I have been building a lot of AI apps - https://github.com/a16z-infra/ai-town https://github.com/a16z-infra/companion-app ... And there were definitely times I spent way too much $$ before deploying the app to production. So I was looking for a "local only" stack and found a few tools that worked well together. I used the following set of tools but may add more options later: - Inference: Ollama - VectorDB: Supabase pg-vector - LLM orchestration: langchain -…

This is a starter kit for building AI applications that run entirely locally without cloud costs. It combines Ollama for inference, Supabase's pg-vector for vector storage, LangChain for LLM orchestration, and Next.js… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. JS Local-only AI Apps starter kit: cost $0 to run and test locally launched in 2023; newer entries below may have overtaken it.

  1. 1

    The easiest way to chat with local AI

    2025 · ollama.com · its alternatives →

  2. 2
    local.ai▲104

    Free, local & offline AI with zero technical setup

    2023 · localai.app · its alternatives →

  3. 3
    1Code▲569

    Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

    Jan 2026 · github.com · its alternatives →

  4. 4

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

    2024 · recurse.chat · its alternatives →

  5. 5

    Hi HN community! We want to share AI-town, a deployable starter kit for building and customizing your own version of AI simulation - a virtual town where AI characters live, chat and socialize. Inspired by great work from the Stanford Generative Agent paper (https://arxiv.org/abs/2304.03442). A few features: - Includes a convex.dev backed server-side game engine that handles global state - Multiplayer ready. Deployment ready - 100% Typescript - Easily customizable. You can fork it, change character memories, add new sprites/tiles and you have a custom AI simulation…

    2023 · github.com · its alternatives →

  6. 6

    Massive local model speedup on Apple Silicon with MLX

    Apr 2026 · ollama.com · its alternatives →

  7. 7

    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 →

  8. 8

    I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…

    Nov 2025 · github.com · its alternatives →

  9. 9

    Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…

    2025 · github.com · its alternatives →

  10. 10
    Local▲107

    Super excited to launch our new app Local today. What we’ve learned at Base Compute over the last months is that running AI directly on your laptop or workstation gives you maximum privacy and it’s free, but it’s also a massive headache to configure. So we’ve decided what matters is making the experience completely frictionless for users. Local analyses the hardware of your laptop, optimises the AI for it, and recommends the best models for your specific device. It let’s you do what you’re doing with cloud AI already, just for free and on your own machine: Chatting with PDF’s, Recording and…

    Aug 2026 · basecompute.co · its alternatives →

  11. 11

    I’ve been building a small hardware box that runs local LLMs like Mistral, Qwen and Llama, and exposes an OpenAI compatible API on your local network. There’s no cloud, no login system and no telemetry. I built it because a lot of small firms want ChatGPTbstyle tools but can’t use cloud AI for privacy or compliance reasons, and most don’t want to deal with GPU servers, drivers, Docker or model configs. The aim is to make local AI feel as simple as plugging in a router. Right now the box boots into a very simple web UI where you choose a model and start using it. The API follows the OpenAI…

    Nov 2025 · axis-one-psi.vercel.app · its alternatives →

  12. 12

    Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.

    2025 · github.com · its alternatives →

  13. 13

    Stop paying for AI experiments. Full stack runs locally

    2025 · localcloud.sh · its alternatives →

  14. 14

    Easily invoke and manage local AI models in your browser.

    2025 · github.com · its alternatives →

  15. 15

    Fast, secure local AI workflows with minimal setup

    2024 · github.com · its alternatives →

  16. 16

    Hey HN! I've been serially building AI projects for over a year, and building node + js SaaS products for over 10 years with my partner. We decided to combine everything we know about AI with our node best-practices into a code boilerplate and see if it can help anyone else! We've had a bunch of positive feedback already from early-users, and at least two SaaS products being developed right now with StartKit.AI as their base. Here's what you get! → Pre-built modules for all common AI tasks: - Chat! Everything to build a ChatGPT clone or your own chatbot. With best-practice implementations of…

    2024 · startkit.ai · its alternatives →

  17. 17

    Build a full-stack app from an AI prompt

    2023 · fsai.elie.tech · its alternatives →

  18. 18CI

    One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.

    2025 · can-i-run-this-llm-blue.vercel.app · its alternatives →

  19. 19

    Local In-Browser LLM inference for private, fast, and secure chat - no server required.

    2025 · private-ai-chat.vercel.app · its alternatives →

  20. 20

    I built a desktop app (PyQt6, Windows) that orchestrates multiple AI models in a 3-phase pipeline: Phase 1 – A cloud LLM (Claude/GPT/Gemini) decomposes the prompt into structured sub-tasks Phase 2 – Local Ollama models process each sub-task (free, private, runs on your GPU) Phase 3 – The cloud LLM integrates the results into a coherent final answer The motivation: cloud APIs are great at reasoning and structure but cost money. Local Ollama models are free but sometimes inconsistent. The pipeline lets you use each where it's strongest. Also includes: - FastAPI + React web UI…

    Mar 2026 · github.com · its alternatives →

  21. 21
    GitHub▲7

    152 open-source tools to run LLMs 100% locally

    Dec 2025 · github.com · its alternatives →

  22. 22LR

    I built localLLLM: a small community project for running local models. Live: https://locallllm.fly.dev The goal is simple: if someone has model + OS + GPU + RAM, they should get steps that actually work (ideally one liner) I need help populating and validating guides. If you run local models, please submit one working recipe (or report what failed). Would love to hear general feedback as well!

    Apr 2026 · locallllm.fly.dev · its alternatives →

  23. 23

    I built 75 developer and AI tools as a single static site. Everything runs in the browser, no cookies, no ads, nothing gets sent to a server. The tools range from the usual suspects (JSON formatter, base64 encoder, regex tester) to some AI-specific ones I couldn't find good free versions of bundled in one suite: - LLM Token Counter (estimates tokens for GPT, Claude, Gemini, etc.) - AI Model Comparison (specs, pricing, context windows side by side) - AI Cost Estimator (plug in your usage, get monthly cost projections) - MCP Server Directory (browsable catalog of Model Context Protocol…

    Feb 2026 · aidevhub.io · its alternatives →

  24. 24

    Free AI coding in your browser. Any model. No install.

    Jul 2026 · codelazr.com · its alternatives →

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