
ScreenMind
Chat with your screen history. Automate it. All local.
What it does
ScreenMind captures your screen when content changes, analyzes every screenshot with Gemma 4 vision AI running locally, and lets you search or chat with everything you've ever seen on your computer. Ask "what was that error I saw 2 hours ago?" and get the actual answer from your screen history. It also auto-transcribes meetings, records voice memos, tracks where your time goes, and lets you build automations in plain English. No cloud. No accounts. No data leaves your machine. Runs on a 4GB GPU
Does the same job
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- LPLocal privacy-first Microsoft Recall alternative with Gemma 4Jul 2026 · github.com · ▲13
hi author here, Screenmind is privacy first Microsoft recall alternative . It runs on gemma 4 which is one of the fewer models supporting vision audio and reasoning all 3, so your data never leaves you machine. With screenmind you can keep a track of your timeline , how much time you spent on what..search any screenshot with any text on it.. and the coolest thing, you can chat with your screen history, like what did alex texted me on discord or did i received any mail from Microsoft, if it was on your screen , you can prompt it in the cha. and also you can make automations on top of it, like…



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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com