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Latest postFeaturesOct 12, 2026

Personal Jarvis is now called Dodaios

  1. Personal Jarvis is now called DodaiosOct 12, 2026
  2. Appshots: show your AI assistant the part of the screen you meanOct 12, 2026
  3. Personal Jarvis can use a ChatGPT subscription for voiceOct 2, 2026
  4. How Jarvis Voice turns speech into text in any appOct 2, 2026
  5. Jarvis agents now keep working when you close Personal JarvisOct 2, 2026
  6. Personal Jarvis gets desktop pets that react while it worksOct 1, 2026
  7. How Jarvis gives its agents skills, plugins and MCP serversOct 1, 2026
  8. Jarvis now remembers what you tell itOct 1, 2026
  9. Jarvis Verse puts every agent at a desk in a 3D officeOct 1, 2026
  10. What Personal Jarvis cost us in SeptemberOct 1, 2026
  11. Coding agents now keep running when you close Personal JarvisSep 30, 2026
  12. How we build Personal Jarvis with up to 16 coding agents at onceSep 29, 2026
  1. FeaturesOct 12, 20264 min read

    Personal Jarvis is now called Dodaios

    New name, new address at dodaios.ai, new home on GitHub. The app, the licence and your data are unchanged. Installs up to 3.1.1 need one manual update, because of a redirect we did not follow.

  2. FeaturesOct 12, 202610 min read

    Appshots: show your AI assistant the part of the screen you mean

    An appshot hands your assistant one window or one dragged area as context. We took 367 in ten days, and 344 of them were an area. How it works and what broke.

  3. VoiceOct 2, 20266 min read

    Personal Jarvis can use a ChatGPT subscription for voice

    An experimental GPT Subscription option connects voice and reasoning to a Codex account. We checked a real call, disabled API credentials in a second test, and kept API-key mode available.

  4. VoiceOct 2, 202616 min read

    How Jarvis Voice turns speech into text in any app

    Hold a key, talk, let go, and the words land where your cursor is. We dictated 225,995 words this way in two months. This is how it works, step by step.

  5. EngineeringOct 2, 20269 min read

    Jarvis agents now keep working when you close Personal Jarvis

    Routines and Telegram chats no longer stop with the window. In one minute this morning three processes held them in turn, and 15 coding agents never noticed.

  6. FeaturesOct 1, 20269 min read

    Personal Jarvis gets desktop pets that react while it works

    Seven pixel pets can now sit on your desktop and show what Jarvis is doing as it listens, thinks, talks and searches. 804 frames, all drawn in code, plus 41 idle tricks.

  7. Coding agentsOct 1, 202610 min read

    How Jarvis gives its agents skills, plugins and MCP servers

    Skills, plugins and MCP servers end up in one catalog of 200 tools on our machine. How each agent gets its share, why an MCP server stays quiet until you ask for it, and what broke.

  8. FeaturesOct 1, 20267 min read

    Jarvis now remembers what you tell it

    Jarvis now keeps two small notebooks about you. Most conversations never reach a model, every entry has to quote your own words, and our first version cost about 100 times more.

  9. FeaturesOct 1, 20264 min read

    Jarvis Verse puts every agent at a desk in a 3D office

    Personal Jarvis 2.4 puts every agent at a desk in a walkable 3D office, and every coding agent one floor up with its terminal live on its monitor.

  10. EngineeringOct 1, 20269 min read

    What Personal Jarvis cost us in September

    We did not pay $15,224 for September. That is what our work in Jarvis would cost on pay-per-token APIs. It ran on flat subscriptions; our API keys were billed $216.65.

  11. EngineeringSep 30, 20268 min read

    Coding agents now keep running when you close Personal Jarvis

    Closing Personal Jarvis no longer stops a single coding agent, and a restarted PC picks every agent up where it was. Here is how the two layers work, with real screenshots and a day of our own logs.

  12. Coding agentsSep 29, 20267 min read

    How we build Personal Jarvis with up to 16 coding agents at once

    We build Personal Jarvis with coding agents running side by side. We counted how many work at once, what broke as the number grew, and the rules we ended up with.