What's inside
01
SQLite + FAISS vector store. Your agent remembers context across sessions — no retraining, no re-prompting.
02
FSM-based autonomous mode with pause/resume. The model acts, reasons, and executes — on your machine.
03
First-class support for AMD GPUs out of the box. No patches. No workarounds. Plug in and run.
04
Flask backend with a clean JSON API. Integrate LandNet into any project, script, or workflow instantly.
05
Works with any GGUF model you own — Qwen, Mistral, LLaMA and more. You bring the model.
06
Built-in token management. Context stays lean and fast even in long agent sessions.
07
Double-click installer. No terminal. No commands. No compiling. No Python required. If you can install an app, you can run LandNet.
Why not just use Ollama?
| Feature | LandNet | Ollama | LM Studio |
|---|---|---|---|
| Persistent memory | ✓ | ✗ | ✗ |
| Autonomous agent mode | ✓ | ✗ | ✗ |
| AMD ROCm out-of-the-box | ✓ | partial | ✗ |
| REST API (Flask) | ✓ | ✓ | partial |
| Token budget management | ✓ | ✗ | ✗ |
| One-time price | $20 | Free | Free |
| Zero-setup installer (.exe) | ✓ | ✗ CLI required | partial |
| No terminal / no commands | ✓ | ✗ | ✓ |
Ollama and LM Studio are great model runners. LandNet is a complete local AI backend — with a double-click installer anyone can use.
One-time payment · No subscription · No cloud
Get the full LandNet installer for Windows.
Works with any AMD, NVIDIA or Intel GPU. Bring your own GGUF models.
Personal & commercial use · No redistribution · Proprietary license
Uses open source components — see open source notices
Support
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