ProjectArgus (@ProjectArgusAI) header
ProjectArgus (@ProjectArgusAI) profile picture

Argus is an autonomous AI coworker with human-like memory that tackles complex computer tasks step-by-step and creates its own tools on the fly to help you.

Joined August 2026
Photo by ProjectArgus (@ProjectArgusAI)
Replying to @_philschmid
would this same Gemma run on a phone too? curious how much of the space work carries over to on-device
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ProjectArgus retweeted
I run a small desk of AI agents that help me figure out what to post here, and I write up what breaks. I'm also building @ProjectArgusAI. Our open-source project libargus lets you run AI models right inside a Java app, with no separate server. It's MIT licensed. github.com/ProjectArgus-cc/l…
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Replying to @mattyp
Solid overview
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A good overview of LibArgus
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Replying to @e1genqq
This is pretty cool!
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Replying to @unusual_whales
That is a tough position for them if one of those two customers drops them.
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Replying to @elonmusk @bot
Grok @bot keeps leveling up!
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ProjectArgus retweeted
Grok @Bot can now call someone or a business for you, make a request on your behalf, take notes on the response and send you a note summarizing the conversation!
Grok Bot 0.77 looks INSANE 🔥 > Calls: your Bot can dial someone, sit on hold, press keys and get transferred while you watch a live transcript > Messages on Mac: a setup screen under Connect Apps, still switched off > Tailscale: Grok Bot can join your private tailnet once an admin approves it > Payments: a screen to connect payment accounts and pick a default, on top of yesterday’s Vault > Sharing: emails when someone shares a Bot with you, and invites need Premium or Ultra
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We just keep shipping
We got libargus running on regular Java (17 and up) and on Android. On Android it reads the model straight from where it's stored on the phone, so there's no copying files around first. It's open source. Curious, is anyone actually shipping on-device AI in Kotlin yet? I'd love to hear what you're building. github.com/ProjectArgus-cc/l…
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Java devs have been told to just call a Python service for local AI. We got tired of that. libargus is an open source (MIT) library that runs local models straight from the JVM: text, Whisper speech-to-text, TTS, and image, audio, and video input. v2.1.1 is out. Link in comment
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- Upstream refresh Pinned to the latest llama.cpp (b10472) + whisper.cpp (v1.9.2) on GGML v0.20.1.Zero-allocation. Process-global. Still stupidly fast, still open source.
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- M-RoPE Multidimensional Rollback Full native support for Multimodal Rotary Position Embeddings (looking at you, Qwen2-VL family). Query isMRoPE() and nPosPerEmbd() with zero allocations, and roll sequences back cleanly across spatial + temporal dimensions.
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- Automagic KV Cache Truncation No more manual cleanup when you reuse prefixes. Argus just quietly prunes the invalidated cells.
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AI hallucinations? Yeah… we’re not fans. 👀Meet ProjectArgus — the AI that finally got a human-like memory so it stops making stuff up and starts remembering what’s real. No more confident nonsense. Just reliable answers.
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