▲ v1.0.1 Released • Free Developer Tool
Instant Visibility
into your Windows AI Ecosystem
Discover local runtimes, cached models, IDEs, and agent skills on your machine in under 250 milliseconds.
Full Audit
Local Runtimes & Inference Engines
Automatically detects Ollama, LM Studio, Jan, llama.cpp, and ComfyUI. Identifies active localhost inference ports and binary paths across your system.
▲ aiscout• Status: Active
● Ollama [11434] → RUNNING (deepseek-r1, llama3.3, qwen2.5)
● LM Studio [1234] → INSTALLED en AppData/Local
● ComfyUI → INSTALLED (Torch CUDA ready)
Performance
Blazing Fast Speed
Compiled with tsup into a lightweight binary with zero bloat or lag.
< 250ms
Average cold execution timeStorage
Model Footprint Audit
Measures actual disk space occupied by GGUF models, Safetensors, and AI blobs.
Ollama Blobs32.1 GB
Hugging Face Hub14.8 GB
LM Studio6.2 GB
Agents & Rules
Agent Skills Parser
Parses names and summaries from SKILL.md files in Antigravity and Gemini CLI.
agy-customizationsantigravity-guide.cursorrulescontinue-rules
Acceleration
NVIDIA & CUDA
Instantly inspects GPU drivers, CUDA cores, and available VRAM.
● NVIDIA SMI DETECTED
RTX 4080 • 12 GB GDDR6X
CUDA 12.7 • Driver 566.x
Total Privacy
100% Local & Offline
Nothing leaves your computer. Aiscout audits sensitive environment variables (such as OPENAI_API_KEY) without ever leaking private values.
🔒 Zero Telemetry Policy • Free Tool
Interactive CLI Playground
Select a command variant and see simulated output in real time.
$ aiscout
▲ aiscout v1.0.1 — The Windows AI Ecosystem Scout
──────────────────────────────────────────────────────────
✔ Hardware: NVIDIA RTX 4080 (12GB VRAM • CUDA 12.7)
✔ Runtimes: Ollama (Port 11434, Active), LM Studio (Installed)
✔ IDEs: Cursor, Windsurf, Claude Code CLI
✔ Model Cache: 53.1 GB used on disk
✔ Agent Skills: 2 builtin detected
✔ Scan completed in 192ms
▲ aiscout v1.0.1 — The Windows AI Ecosystem Scout
──────────────────────────────────────────────────────────
✔ Hardware: NVIDIA RTX 4080 (12GB VRAM • CUDA 12.7)
✔ Runtimes: Ollama (Port 11434, Active), LM Studio (Installed)
✔ IDEs: Cursor, Windsurf, Claude Code CLI
✔ Model Cache: 53.1 GB used on disk
✔ Agent Skills: 2 builtin detected
✔ Scan completed in 192ms