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Alternatives

Products that do what Jarvis Runtime does

A runtime-first AI architecture. Not another chatbot.

  1. 1
    Runtime303

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com

  2. 2

    Tighter instruction adherence in speech agents

    Feb 2026 · developers.openai.com

  3. 3

    Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API

    2025

  4. 4

    NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs. - NPC-Forge/docs/development.md at main · gioblu/NPC-Forge

    3d ago · github.com

  5. 5

    Fast and efficient models optimized for coding and subagents

    Mar 2026 · openai.com

  6. 6

    The first open model to beat Sonnet made for productivity

    Feb 2026 · minimax.io

  7. 7TL
  8. 8
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai

  9. 9EC
  10. 10CO

    I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…

    2025 · github.com

  11. 11RM
  12. 12

    Turn natural language into AI agents and automations

    Feb 2026 · miniloop.ai

  13. 13UD

    Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…

    2024

  14. 14

    The context manager and skills library for marketing teams

    Apr 2026 · promptr.ai

  15. 15SO

    We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…

    2025 · github.com

  16. 16LS

    Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…

    2024 · github.com

  17. 17

    Persistent runtime for long-running AI systems

    Jun 2026 · sigmaruntime.com

  18. 18PJ
  19. 19
    Brain8

    A small, blazingly fast and extensible agent runtime

    4d ago · github.com

  20. 20JA
  21. 21

    I run a small AI lab and playground and got super excited about Anthropics paper "Verbalizable Representations Form a Global Workspace in Language Models" (https://transformer-circuits.pub/2026/workspace/index.html) It talks about how they use a tool they call a Jacobian Lens to view inside the middle layers of LLM while it's working before it commits to a word (token). I wanted to see if I could get a version of this running on the open models and to my surprise it worked! I ran some experiments with it and build a public facing free tool anyone can use with your…

    Jul 2026 · lucid.earthpilot.ai

  22. 22

    Turn natural language prompts into AI automations.

    Jan 2026 · useverse.ai

  23. 23

    Open-source memory runtime for production AI agents.

    26d ago · statewave.ai

  24. 24WO

    Hey HN, I’m really excited to show off a project I’ve been tweaking and tuning for more than seven months. One thing that drove me nuts about running LLMs locally was having to use terminals, install Python, and write code for the most basic things. I write software, but I don’t want to have to write it just to use a chatbot. So, I made Wingman with a friendly interface that lets you get started with zero coding or terminals required. It runs on MacOS and Windows, and even evaluates AI models up front to determine if they will run on your machine. There’s other stuff it does, too, like let…

    2024 · github.com

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