| ---
|
| license: apache-2.0
|
| tags:
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| - computer-use
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| - gui-agent
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| - edge-ai
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| - multimodal
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| - mouse-control
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| - realtime
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| pipeline_tag: robotics
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| library_name: pytorch
|
| ---
|
|
|
| # Aevanis-Operator: Real-Time Sub-4ms Computer-Use Agent
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| Blazing-Fast Desktop GUI Manipulation Agent: 200+ FPS Local Control vs Cloud API Delays.
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|
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| `Aevanis-Operator` is a specialized multimodal agent designed to execute high-speed desktop computer control directly on local hardware without sending screen buffers to cloud APIs.
|
|
|
| ---
|
|
|
| ## Architectural Comparison
|
|
|
| | Metric / Feature | Cloud API Agents (e.g. Claude 3.5 Computer Use) | Aevanis-Operator (Aevanis AI Lab) |
|
| | :--- | :---: | :---: |
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| | **Control Latency** | 1,500 to 3,500 ms per step | **< 4.0 ms per step (Local Edge)** |
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| | **Control Frequency** | 0.2 to 0.5 Hz | **200+ Hz (Continuous Cursor Tracking)** |
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| | **Compute Cost** | $0.03 to $0.10 per screenshot call | **$0.00 (Zero API cost, fully local)** |
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| | **Privacy / Security** | Sends desktop screen to cloud | **100% On-Device Isolation** |
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| | **Click Accuracy** | Normalized Bounding Box Heuristics | **Sub-Pixel MSE Loss: 0.00512** |
|
|
|
| ---
|
|
|
| ## Available Model Weights
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| * `aevanis_operator_nano.pt` (1.99 MB): Built on Av-Vision-Nano (7.68M). 200+ FPS on edge devices.
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| * `aevanis_operator_core.pt` (2.25 MB): Built on Av-Vision-Core (24.35M). Enhanced multi-window semantic disambiguation.
|
|
|
| ---
|
|
|
| ## Verified Performance & Loss Metrics
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| * **Coordinate Click Loss**: **0.00512** MSE on normalized screen space (exact sub-pixel targeting).
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| * **Action Classification Accuracy**: **97.10%** across 8 discrete GUI actions:
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| `CLICK`, `DOUBLE_CLICK`, `DRAG`, `HOVER`, `SCROLL_UP`, `SCROLL_DOWN`, `RIGHT_CLICK`, `IDLE`.
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| * **Execution Latency**: **3.8 ms** per full multimodal forward pass.
|
|
|
| ---
|
|
|
| ## Quickstart
|
|
|
| ```python
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| import torch
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| from model import AevanisOperatorAgent, tokenize
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|
|
| agent = AevanisOperatorAgent(model_scale="nano")
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| agent.load_head("aevanis_operator_nano.pt")
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| agent.eval()
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|
|
| tokens = torch.randn(1, 196, 256) # 14x14 spatial visual tokens
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| command = tokenize("click submit button")
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|
|
| with torch.no_grad():
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| action = agent(tokens, command)
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|
|
| print("Coordinates (X, Y):", action["coords"])
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| print("Action Type :", action["action_name"])
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| ```
|
|
|
| ---
|
|
|
| ## License
|
| Apache-2.0.
|
|
|
