Next-Gen AI Engine

Herdsman AI Local Inference Engine

In an era where cloud inference is billed by compute, Herdsman Al Local Engine gives you a private AI productivity stack built for local deployment. It is optimized for high-performance hardware, integrates dozens of models, and cuts massive token spend so you can regain real AI freedom.

Qwen3.6WinML NPUDeepseekGptOssGemmaLlamaGLM-4.7Zimage-turboMimo V2

Smart mode selection

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

Speed first
Balanced
Quality first
Smart modes and Auto matching

Rich image generation

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

Text to image
Image to image
Precise edit
Image generation and editing

Multilingual translation

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

PDF upload
Translation models
One-click output
Multilingual translation UI

Broad model library

Hundreds of models to cover diverse AI workloads and modalities.

LLMs
Image models
Audio models
Model library and selection
Core Features

Why Choose Herdsman Al Local Engine

A next-generation engine built for high-performance AI inference

Lower Token Costs

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.

Rich Hardware Ecosystem

Deeply optimized for Windows with recommended hardware tuning and VRAM allocation strategies that remain stable even under parallel workloads.

Faster Responses

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.

Privacy & Security

Your data stays your asset. Offline-capable local execution reduces the risk of sensitive information leaking to the cloud at the source.

Multi-Model Support

Built-in support covers dozens of modern multimodal and language models, including the OpenClaw family, with one-click download-to-deploy workflows.

Gets More Personal Over Time

By combining local files, habits, and schedules, FlowyAIPC with Herdsman Al Local Engine can iteratively adapt to your own data and workflows.

INTEL PLATFORM OPTIMIZATION

Significantly faster Qwen3.5 on Intel Panther Lake platforms

llama-bench | Prefill Speed (t/s) FA=1 base vs our
ModelFABuild512 tok1k tok2k tok4k tok8k tok16k tok32k tok256k tok
Qwen3.5-35B-Q4_K_MFA=1Base808.7956.5898.6776.3615.7433.2266.1266.1
FA=1Our111111831224.611951127.61106.6825.3825.3
FA=1Speed up our/base1.37x1.24x1.36x1.54x1.83x2.55x3.10x3.10x
llama-bench | Gen Speed (t/s) | -d [context length] | -n 128-tok gen FA=1 base vs our
ModelFABuild512 ctx1k ctx2k ctx4k ctx8k ctx16k ctx32k ctx256k ctx
Qwen3.5-35B-Q4_K_MFA=1Base31.130.430.228.626.82420.220.2
FA=1Our38.9338.3336.8936.4435.4732.0435.537
FA=1Speed up our/base1.25x1.26x1.22x1.27x1.33x1.33x1.76x1.83x

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

OpenViking Core Technology

Save Token Costs

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.

L0 Summary

One-line context, quick judgment

Token Usage
< 100 tokens

Minimal summary for fast decisions

L1 Core

Key context for planning

Token Usage
< 2k tokens

Critical signals for smart planning

L2 Detail

Full detail loaded on demand

Token Usage
On demand

Complete data for deep execution

90% Lower Token Cost
Intelligent layered loading
Zero Window Overflow
Say goodbye to truncation risk
3x Faster Response
Lightweight context
Security

Privacy & Security

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.

Local Storage

All data stays on the local device instead of being uploaded, giving you full ownership and control.

End-to-End Encryption

Data transfer uses bank-grade encryption standards to keep information protected in transit.

Privacy Protection

No behavior analytics, no tracking, and no hidden collection of user activity data.

Faster Responses

Less network dependency, Windows-ready, lower cost

Cloud Models

Heavily affected by network jitter
Tasks wait in remote queues
High compute cost
Recommended

Local Models

Once a model is loaded, it responds immediatelyBetter
Integrates smoothly with other productivity tools and APIsBetter
Direct local output with abundant token throughputBetter