Models Zoo vs Argus

Core ML Models is a curated, on-device AI playground. Download any model from the built-in catalog and try it out instantly — no server, no account, nothing leaves your device. Every model is an open-source release converted from PyTorch to Apple's Core ML format and tuned to run efficiently on the Neural Engine, GPU, or CPU. WHAT YOU CAN DO • Chat with small language models (Gemma, etc.) including multimodal vision+text • Generate images from text with Hyper-SD • Remove backgrounds, matte video subjects, and colorize old photos • Estimate depth and reconstruct 3D faces from a single photo • Detect and classify with YOLO, SigLIP, and zero-shot open-vocabulary models • Separate music stems with Demucs and transcribe audio to MIDI with Basic Pitch • Clone voices and synthesize speech with Kokoro and OpenVoice • Super-resolve images with SinSR and RealESRGAN. DEVELOPER TOOLS, NOT JUST A DEMO • Inspect — see every .mlpackage's input/output tensor shapes, data types, compute-unit setting, on-disk size, and Core ML metadata at a glance. • Benchmark — run warmup + timed iterations on your own device and get average / median / min / max latency plus memory delta. Switch compute units (All, CPU+GPU, CPU+ANE, CPU only) to find the fastest config for your hardware. • Swift Code — export a ready-to-paste Core ML loading + inference snippet wired to the model's actual input/output names, so integration into your own app is copy-paste fast. DESIGNED FOR THE NEURAL ENGINE Each model ships with compute-unit settings tuned per-architecture (Neural Engine, GPU, CPU) so you get the best inference speed Apple Silicon can deliver. OPEN AND TRANSPARENT Every model in the catalog links back to its original paper, repository, and license. Conversion scripts are public on GitHub so you can see exactly how the .mlpackage files were produced. PRIVACY FIRST All inference runs locally on your device. The app only fetches model files from public storage over HTTPS — there are no analytics, no ads, and no account to create. REQUIREMENTS • iPhone or iPad with Apple Silicon recommended for best performance • Some large models require several GB of free storage and ≥ 6 GB RAM

# Watch and control all your AI agents, from one app. Claude Code, Codex, OpenCode and Antigravity scatter across terminals and machines. Argus brings every session into one view, so you always know what's running, what's waiting on you, and what's done. ## One screen for every agent Every session from every machine in a single list, grouped by host and labeled by agent. Live status shows which are working, which are waiting on input, and which have gone idle, and the sessions that need you stay pinned to the top. ## See exactly what they did Open a session for the full transcript: prompts, replies, thinking, and every tool call. Fold the long parts or expand a single step, and tap any tool call to see the exact command it ran and what it returned, with model and token counts along the way. ## Jump in from anywhere Attach to a session's live terminal, watch it run, and type into it. Answer a permission prompt in place, review the code changes and git diffs it produced, or spawn, interrupt, and kill sessions without reaching for your laptop. ## Never miss a prompt Argus sends a push notification when a session needs your input, so a blocked agent doesn't sit idle while you're away. Notifications arrive even when the app is closed. ## Private and self-hosted Argus runs entirely on your own machines. You pair your phone directly to them over an end to end encrypted connection, so your prompts, code, and output never leave your control. Works with Claude Code, Codex, OpenCode and Antigravity in one list. Start on a single machine or scale to a fleet. _Source_: https://github.com/MunifTanjim/argus _Docs_: https://argus.muniftanjim.dev