Choose speed, balance, or quality; Auto mode picks the best local model for you.

Text-to-image, image-to-image, and precise edits—creative workflows stay in your control.

Upload documents and translate in one click with a style you choose.

Hundreds of models to cover diverse AI workloads and modalities.

A next-generation engine built for high-performance AI inference
Herdsman Al Local Engine deploys large models on your local hardware. From long-document summaries to nonstop code generation, your inference cost is effectively just electricity.
Deeply optimized for Windows with recommended hardware tuning and VRAM allocation strategies that remain stable even under parallel workloads.
Inference paths and model weights are tuned for speed, making local models easy to use for beginners while still exposing model APIs for power users who want full control.
Your data stays your asset. Offline-capable local execution reduces the risk of sensitive information leaking to the cloud at the source.
Built-in support covers dozens of modern multimodal and language models, including the OpenClaw family, with one-click download-to-deploy workflows.
By combining local files, habits, and schedules, FlowyAIPC with Herdsman Al Local Engine can iteratively adapt to your own data and workflows.
| Model | FA | Build | 512 tok | 1k tok | 2k tok | 4k tok | 8k tok | 16k tok | 32k tok | 256k tok |
|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-35B-Q4_K_M | FA=1 | Base | 808.7 | 956.5 | 898.6 | 776.3 | 615.7 | 433.2 | 266.1 | 266.1 |
| FA=1 | Our | 1111 | 1183 | 1224.6 | 1195 | 1127.6 | 1106.6 | 825.3 | 825.3 | |
| FA=1 | Speed up our/base | 1.37x | 1.24x | 1.36x | 1.54x | 1.83x | 2.55x | 3.10x | 3.10x |
| Model | FA | Build | 512 ctx | 1k ctx | 2k ctx | 4k ctx | 8k ctx | 16k ctx | 32k ctx | 256k ctx |
|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-35B-Q4_K_M | FA=1 | Base | 31.1 | 30.4 | 30.2 | 28.6 | 26.8 | 24 | 20.2 | 20.2 |
| FA=1 | Our | 38.93 | 38.33 | 36.89 | 36.44 | 35.47 | 32.04 | 35.5 | 37 | |
| FA=1 | Speed up our/base | 1.25x | 1.26x | 1.22x | 1.27x | 1.33x | 1.33x | 1.76x | 1.83x |
3.10x
Max Prefill uplift
32k token context
1.83x
Max Decode uplift
256k token context
2.01x
Avg Prefill uplift
Across all context sizes
1.41x
Avg Decode uplift
Across all context sizes
Prevent overflow | Save tokens | Cut costs precisely
Use lightweight L0 and L1 context for planning, then fetch L2 detail through URIs only when execution needs it. This sharply reduces token cost and avoids truncation risk.
One-line context, quick judgment
Key context for planning
Full detail loaded on demand
If uploading chats, documents, or photos to the cloud feels risky, Herdsman Al Local Engine keeps that data on your own machine so control stays with you.
All data stays on the local device instead of being uploaded, giving you full ownership and control.
Data transfer uses bank-grade encryption standards to keep information protected in transit.
No behavior analytics, no tracking, and no hidden collection of user activity data.
Less network dependency, Windows-ready, lower cost