DeepSeek GUI: A Desktop Agent Workspace for DeepSeek Models
- Smars
- Agent , Productivity
- 06 Jun, 2026
DeepSeek has a terminal client. It has a web chat. Both are fine for one-shot questions. Neither is built for sustained project work — managing multiple sessions across different codebases, reviewing file changes the agent made, planning multi-step tasks, or keeping context alive across days of work.
DeepSeek GUI fills this gap. It’s an Electron desktop application that wraps DeepSeek models in a proper workspace: a Code mode that binds to local project directories, a Write mode for document editing, phone connectivity for IM integration, and a local agent runtime called Kun optimized for token efficiency.
Two Workspaces
The app opens into two primary modes.
Code mode is the main event. Select a project directory, start a session, and the agent works against your actual codebase — reading files, editing code, running commands, committing changes. A change review panel tracks every file modification the agent makes, visualized as inline diffs. You approve or reject before anything is applied. Session management includes branching, archiving, and compression for long-running conversations.
Key Code mode features:
- Per-workspace session management, each with its own working directory
- Inline diff and side-panel file change review
- Permission policies: read-only, workspace-write, full access
- Tool call approval workflow — configurable per tool
- Code review via
/review, sub-dialogs via/btw, goal tracking via/goal - Plan-and-todo panel (
/plan) that breaks tasks into tracked steps - Quick task cards for common operations (structure analysis, debugging, implementation plans)
Write mode is a standalone Markdown workspace. It manages writing files in ~/.deepseekgui/write_workspace plus custom directories. A live editor renders Markdown in place — source on the current line, preview everywhere else. Built-in DeepSeek FIM completion handles short completions and inspiration-length suggestions, using BM25 + keyword retrieval across the writing workspace to maintain terminology and style consistency. Export to HTML, PDF, DOC, and DOCX.
The Agent Runtime: Kun
Kun is the local runtime that powers DeepSeek GUI. It runs as an HTTP/SSE service — the boundary between the Electron UI and the agent loop. Its design philosophy: maximize token ROI.
Standard agent loops waste tokens on repetitive prefixes, massive tool catalogs, and low-value output. Kun addresses this through several mechanisms:
Cache-first agent loop. The system prompt, tool schemas, and immutable prefixes are stabilized so DeepSeek’s native cache hits more often. Long sessions don’t re-pay for the same context.
Progressive tool discovery. When MCP exposes many tools, Kun doesn’t dump the entire directory into every prompt. It uses mcp_search to find relevant tools, then mcp_describe and mcp_call to use only what’s needed. The full tool catalog stays out of context until it’s needed.
Context hygiene. Lengthy tool results, large parameters, base64 payloads, repeated tool loops, and low-value history are bounded or compressed. Paths, code, errors, decisions, and unresolved items are preserved.
Visible telemetry. Cache hit/miss rates and token savings are surfaced in the GUI. You can see what Kun is saving.
Kun manages capabilities through feature flags: MCP servers, web fetch/search, skills, image attachments, cross-session memory, and sub-agent delegation with budget limits are all configurable and visible in the settings panel.
Phone Connectivity
A separate “connect phone” interface lets Kun operate as a background agent connected to IM platforms. Currently supports Feishu, Lark, and WeChat. Each IM channel gets its own agent persona, model preference, and working directory. Session threads are independent and debuggable from the GUI.
Timed tasks — one-time, daily, interval, or manual — create independent Kun threads that execute at scheduled times. This turns DeepSeek from a chat-reply model into something closer to a persistent automation assistant.
Who It’s For
- Developers who want to use DeepSeek on real codebases without staying in the terminal
- Teams that need visibility into what the agent did — file changes, tool calls, permission approvals
- Anyone managing multiple projects and sessions who wants to persist Skill and MCP configurations
- Users who want DeepSeek integrated into their IM workflow with timed automation
The app requires a DeepSeek API key (or compatible OpenAI endpoint). It is not affiliated with DeepSeek Inc. — it’s a community-built workspace.
Setup
Download from the releases page — macOS .dmg, Windows .exe, Linux .AppImage. First launch guides you through language selection and API key setup.
From source:
git clone https://github.com/XingYu-Zhong/DeepSeek-GUI.git
cd DeepSeek-GUI
npm install
npm run devNode.js 20+ required.
Try It
DeepSeek GUI is MIT-licensed, 1.5k stars, 134 forks, built by XingYu-Zhong. It’s at that point where a community tool becomes the de facto desktop interface for a model — worth paying attention to.
