deepseekeyes

DeepSeek's text models are powerful for reasoning but lack the ability to directly 'see' images, creating a disconnect in workflows requiring visual context. DeepSeekEyes solves this by acting as a runtime that bridges image pixels to DeepSeek models in an auditable way, enabling seamless processing of screenshots, interfaces, or documents within the conversation. Its core capability lies in establishing a secure and transparent vision channel—it automatically selects and health-checks vision models, validates every evidence field, ensures original images remain unaltered, and even allows requests for specific regions or details within an image during the dialogue. It also integrates browser and desktop (Windows/macOS) Computer Use, along with structured MCP tool calls to external applications, with all operation results logged and verified. This allows DeepSeek to complete observe-act-verify loops in a single task flow without manual intervention.

For users, DeepSeekEyes delivers a native-like visual experience. When an image is pasted, it automatically handles vision understanding in the background, providing structured descriptions and evidence to DeepSeek for reasoning—all within the current dialogue, without extra tabs or window switches. If the model itself supports multimodal input, it can enable a 'native vision passthrough,' directly forwarding the original image block to avoid unnecessary intermediate conversions. All vision routing and failover processes are transparent and auditable, and usage (including exact token consumption) is clearly displayed.

This plugin is ideal for scenarios where deep integration of DeepSeek's reasoning with visual information or desktop/browser automation is required. For instance, developers analyzing error screenshots, operators controlling browsers for complex web tasks, or teams connecting DeepSeek to backend applications securely via MCP. It targets anyone seeking to add reliable vision and automation 'hands' to their DeepSeek Harness workflows, offering a full-chain solution from evidence generation to action execution.