{"slug": "bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini", "title": "Bringing My Son’s Anki Vector Back to Life with Raspberry Pi, WirePod, and Gemini AI", "summary": "A developer revived an Anki Vector robot from 2018 by replacing its defunct cloud services with a Raspberry Pi running WirePod and a local AI model, Gemma 4 12B via Ollama. The robot now responds to open-ended queries without relying on external servers, demonstrating how older hardware can be upgraded with modern open-source AI.", "body_md": "A few years ago (2019), I bought my son an Anki Vector robot as a gift.\n\nFor anyone who never owned one, Vector was way ahead of its time. He was a small desktop robot with a surprising amount of personality. He could recognize faces, explore his environment, respond to voice commands, take pictures, answer questions, and genuinely felt different from most other smart devices.\n\nHe wasn't just another gadget sitting on a desk. He felt alive.\n\nThen Anki went out of business.\n\nLike many Vector owners, we were left wondering what would happen to this little robot we had brought into our home. Later, Digital Dream Labs acquired Vector and attempted to continue supporting the platform, but after more uncertainty around the service, it became clear that depending on someone else's cloud was always going to be a weakness.\n\nThe hardware still worked.\n\nThe personality was still there.\n\nVector just needed a new brain.\n\nYears later, with the rise of open-source projects and modern AI models, I decided to see if I could bring him back.\n\nThe goal:\n\nCould I take this older robot, replace the cloud services he depended on, and connect him to a modern large language model?\n\nThe answer ended up being yes.\n\nUsing a Raspberry Pi, WirePod, and Google's Gemma 4, I was able to bring Vector back online and give him capabilities that were not possible when he originally launched.\n\nThe Stack\n\nFor this project I used:\n\nAnki Vector robot\n\nRaspberry Pi running WirePod\n\nDesktop PC running Ollama\n\nGemma 4 12B open model\n\nLinux\n\nSSH\n\nLocal networking\n\nThe final architecture looked something like this:\n\nUser\n\n|\n\nVoice Command\n\n|\n\nAnki Vector\n\n|\n\nWirePod (Raspberry Pi)\n\n|\n\nLocal Network\n\n|\n\nOllama Server\n\n|\n\nGemma 4 12B\n\n|\n\nAI Response\n\n|\n\nVector\n\nThe Raspberry Pi essentially became Vector's replacement backend.\n\nInstead of reaching out to external cloud services, Vector now communicates with WirePod. WirePod handles the request and routes conversations to a locally running AI model hosted on my own hardware.\n\nThe robot from 2018 is now powered by a modern LLM without relying on a company's cloud infrastructure.\n\nStep 1: Taking Back Control of the Hardware\n\nThe first challenge was not installing AI.\n\nIt was getting control of the robot again.\n\nVector was originally designed around cloud connectivity. The hardware itself was still impressive, but many of the features depended on servers outside of the owner's control.\n\nWhen those services became unreliable, it showed one of the biggest problems with connected devices:\n\nThe hardware can be perfectly fine, but the product can still stop working.\n\nUsing WirePod allowed me to replace that missing backend.\n\nThe process involved:\n\nSetting up the Raspberry Pi\n\nInstalling WirePod\n\nConnecting Vector\n\nConfiguring the replacement server\n\nGetting voice commands routed correctly\n\nAfter that, Vector was responding again.\n\nBut I wanted to go further.\n\nStep 2: Giving Vector a Local AI Brain\n\nGetting Vector back online solved one problem.\n\nThe next question was:\n\nCould this little robot become something closer to the AI assistants we imagine today?\n\nOriginally, Vector's responses were limited by what he was programmed to understand. He had a lot of personality, but he was not built with today's large language models in mind.\n\nI decided to connect him to Gemma 4 12B running locally through Ollama.\n\nNow when I ask Vector something open-ended, the request travels from the robot, through WirePod, to my local AI server.\n\nFor example:\n\n\"Vector, explain how black holes work.\"\n\nInstead of returning a predefined response, Gemma generates an answer and sends it back through Vector.\n\nNo subscription.\n\nNo external AI API.\n\nJust my hardware running my AI model.\n\n**Challenges Along the Way**\n\nLike most projects, it definitely did not work perfectly the first time.\n\nSome problems I ran into:\n\nBluetooth pairing issues\n\nGetting Vector activated again\n\nRaspberry Pi setup\n\nSSH configuration\n\nNetworking between devices\n\nModel configuration\n\nDebugging why requests were not reaching the LLM\n\nBalancing model size and response speed\n\nOne of the biggest lessons was realizing how many different pieces have to work together.\n\nA simple voice question goes through the robot, networking, a replacement backend, an AI server, the model, and then all the way back.\n\nWhen something fails, troubleshooting means understanding every layer.\n\n**Why This Project Matters**\n\nThis started because I wanted to bring an old robot back to life.\n\nBut it turned into a much bigger lesson about AI, ownership, and the future of technology.\n\nHow many smart devices stop working because the hardware failed?\n\nAnd how many stop working because the servers behind them disappeared?\n\nVector still had working motors, cameras, sensors, and personality. He just needed a new brain.\n\nOpen-source software and local AI made that possible.\n\n**What's Next?**\n\nNow that Vector is running with a modern AI backend, there are a lot of possibilities:\n\nPersistent long-term memory\n\nCustom personality tuning\n\nMore natural conversations\n\nHome automation integration\n\nComputer vision experiments\n\nAgent-style workflows\n\nThis project started as restoring my son's old robot.\n\nIt ended with a small glimpse into where personal AI devices could be heading.\n\nSometimes old hardware just needs a new brain.", "url": "https://wpnews.pro/news/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini", "canonical_source": "https://dev.to/hightech89/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini-ai-5e5c", "published_at": "2026-07-07 01:43:15+00:00", "updated_at": "2026-07-07 02:29:16.583331+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "robotics", "ai-infrastructure", "developer-tools"], "entities": ["Anki Vector", "Raspberry Pi", "WirePod", "Gemma 4", "Ollama", "Digital Dream Labs", "Google"], "alternates": {"html": "https://wpnews.pro/news/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini", "markdown": "https://wpnews.pro/news/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini.md", "text": "https://wpnews.pro/news/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini.txt", "jsonld": "https://wpnews.pro/news/bringing-my-sons-anki-vector-back-to-life-with-raspberry-pi-wirepod-and-gemini.jsonld"}}