MIT-licensed desktop AI agent workspace that runs DeepSeek-TUI plus eight other local engines with unified DeepSeek model-provider routing; the README itself does not mention dsh/DeepSeek Harness directly.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
MIT
01What can it help you accomplish?
Run DeepSeek-TUI and other local coding agents through a visual desktop chat instead of the terminal
Graphical chat with tool panels, slash commands, file diffs and permission prompts, plus a live workspace showing file writes, code changes and artifacts
Developers who use terminal agents such as DeepSeek-TUI, Claude Code or Codex and want a beginner-friendly GUI workspace on macOS or Windows
Configure DeepSeek and other model providers once and route them into the selected agent engine
A unified provider/model setup (official OpenAI, Anthropic, Gemini plus OpenAI-compatible endpoints for DeepSeek, Qwen, Moonshot, Ollama, OpenRouter, GitHub Copilot, local gateways) mapped into engines that follow WeSight settings
Users who switch between multiple LLM providers and want one place to manage model routing for their local agents
Monitor agent runs and extend workflows with skills and scheduled jobs
Runtime dashboard measuring engine, model, tokens, TTFT, TPS, tool latency, steps, status and duration; SkillHub skill installation and recurring agent tasks
Teams and hobbyists who run agent tasks daily and want metrics, skill management and scheduled automation in one desktop app
02How to install into DeepSeek Harness
Prerequisites
- macOS (Apple Silicon or Intel) or Windows x64 for the packaged desktop app
- For development from source: Node.js `>=24 <25` and npm
Installation steps
- 01
macOS: download the matching DMG from the latest GitHub Release (signed and notarized builds for Apple Silicon and Intel), open the DMG and drag `WeSight.app` into the `Applications` folder
- 02
Windows: download `WeSight.Setup.<version>.exe` from the latest release and check it against `SHASUMS256.txt` before running (the installer is unsigned and SmartScreen may warn)
- 03
From source (development): `git clone https://github.com/freestylefly/wesight.git`, `cd wesight`, `npm install`, then `npm run electron:dev`
$ git clone https://github.com/freestylefly/wesight.git
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
Not a dsh plugin: WeSight is a standalone desktop workspace that runs DeepSeek-TUI (DeepSeek's TUI agent runtime) as one of nine local engines and configures DeepSeek as a model provider; the README never mentions DeepSeek Harness/dsh itself
Agent engine manager
Local agent CLIs: Claude Code, Codex, Kimi Code, OpenClaw, Hermes Agent, OpenCode, Qwen Code, DeepSeek-TUI, or the built-in runtime→One-click install or detection of existing CLIs (macOS), reuse of existing CLI accounts/config, and visual chat execution
Can install local CLIs on the machine (macOS one-click setup)Tool execution runs commands and touches files, surfaced with permission promptsUnified model routing
Official OpenAI / Anthropic Claude / Google Gemini providers plus OpenAI-compatible endpoints (DeepSeek, Qwen, Moonshot, Ollama, OpenRouter, GitHub Copilot, local gateways, private endpoints)→Provider and model settings mapped into the selected engine, with switching between WeSight-managed settings and existing local CLI configuration
Model calls go over the network to the configured provider endpointsSettings and auth tokens are persisted in local SQLite under the app data directorySkillHub marketplace & scheduled tasks
SkillHub marketplace skills and WeSight built-in skills (research, documents, automation, creative, communication, agent building)→Install / enable / disable / update / remove skills from the desktop UI; recurring agent jobs for research, reports, monitoring and reminders
Skills are installed locally on diskScheduled tasks run agent jobs automatically on a recurring basisAI runtime telemetry dashboard
Agent runs across all configured engines→Per-task metrics: engine, model, source, status, tokens, completion time, TTFT, output-phase TPS, estimated model TPS, tool latency, agent steps
Runtime telemetry is persisted locally in SQLite
04Who is it for? When not to use it?
Good for
- Developers who use terminal agents such as DeepSeek-TUI, Claude Code or Codex and want a beginner-friendly GUI workspace on macOS or Windows
- Users who switch between multiple LLM providers and want one place to manage model routing for their local agents
- Teams and hobbyists who run agent tasks daily and want metrics, skill management and scheduled automation in one desktop app
Not for
- The Windows x64 installer currently has no code-signing certificate, so SmartScreen may show an unrecognized app warning; the README advises checking the file against `SHASUMS256.txt` before continuing.
05Compatibility, maintenance and safety notes
- The Windows x64 installer currently has no code-signing certificate, so SmartScreen may show an unrecognized app warning; the README advises checking the file against `SHASUMS256.txt` before continuing.
- One-click installation of local agent CLIs is macOS-only; on other platforms you must bring an existing CLI setup, and packaged builds are published only for macOS (signed/notarized) and Windows x64 — no prebuilt Linux release.
- Running WeSight from source requires Node.js `>=24 <25` and npm — a narrow, pinned Node version range.
MIT · actively maintained (latest release v1.0.4, 2026-08-03)
06Frequently asked questions
How do I use DeepSeek-TUI with WeSight?
DeepSeek-TUI is one of nine supported engines. On macOS, WeSight can one-click install it or detect an existing installation; otherwise select it in the Agent Engines settings and reuse your existing local CLI account and config.
Does WeSight run DeepSeek Harness (dsh) natively?
The README does not mention dsh itself. The DeepSeek connection is DeepSeek-TUI as a local engine (HTTP/SSE runtime and tool streaming) plus DeepSeek as an OpenAI-compatible model provider configured inside WeSight.
Which platforms are supported?
Signed and notarized macOS DMGs for Apple Silicon and Intel, plus a Windows x64 installer (currently unsigned, so SmartScreen may warn — verify against SHASUMS256.txt). Development from source requires Node.js >=24 <25 and npm.
Where does my data go?
Local data (settings, sessions, runtime calls, auth tokens) is stored in SQLite under the app data directory. Model calls go over the network to the providers you configure, such as DeepSeek, OpenAI, Anthropic, Gemini, Ollama or OpenRouter.
Can WeSight install agent CLIs for me?
On macOS, yes — WeSight can install supported local CLIs or detect the ones already present. On other platforms you bring your own working terminal setup and WeSight reuses its accounts and config.
07Related DSH workflows
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08Data and sources
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Use existing Claude Code, Codex, Kimi Code, OpenClaw, Hermes Agent, OpenCode, Qwen Code, or DeepSeek-TUI accounts and co…
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.
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