Wisp AI Assistant vs Clark

Detailed side-by-side comparison to help you choose the right tool

Wisp AI Assistant

🟡Low Code

ai-assistant

Wisp is a free, open-source (MIT), hotkey-driven AI overlay for Windows, macOS, and Linux that reads your on-screen context, works with any model provider, and acts as both an MCP client and MCP server.

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Starting Price

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Clark

🟢No Code

ai-assistant

Clark Agent is a computer-use agent from Clark Labs that works on its own computer and hands back finished, inspectable output.

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Starting Price

$0
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Feature Comparison

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FeatureWisp AI AssistantClark
Categoryai-assistantai-assistant
Pricing Plans1 listed plan1 listed plan
Starting Price$0$0
Key Features
  • • Hotkey-driven overlay: press a key, pick an intent, get a streamed answer without leaving your app
  • • Context capture: selection, clipboard, focused app, documents, browser pages, and screen snips for vision models
  • • Voice in and out: local STT (faster-whisper), on-device neural TTS (Kokoro, GPT-SoVITS) or cloud voices
  • • Computer-use agent that runs tasks on its own dedicated computer
  • • Hands back finished, inspectable output for review
  • • Available on the web and Android, with Clark Code, an AI coding IDE for macOS

Wisp AI Assistant - Pros & Cons

Pros

  • ✓Genuinely free and MIT-licensed — no subscription, no data collection, no hosted account
  • ✓Two-way MCP support is rare in desktop assistants and unlocks powerful agent workflows
  • ✓Bring-your-own-provider covers 20+ backends, including fully local Ollama/LM Studio
  • ✓Voice runs on-device by default (faster-whisper + Kokoro), keeping audio off the cloud
  • ✓Cross-platform: Windows 10+, macOS 13+, and Linux (X11) all shipped from the same Python codebase
  • ✓Sandboxed Python addon system makes it extensible without forking the app

Cons

  • ✗You supply and pay for your own model keys — no free hosted inference tier
  • ✗Wayland support on Linux is still in progress; X11 is the current sweet spot
  • ✗Being a solo open-source project means release cadence and support depend on the maintainer
  • ✗Python packaging can make first-run setup fiddlier than a signed native app
  • ✗Screen-snip vision requires a vision-capable model, which costs more per call

Clark - Pros & Cons

Pros

  • ✓Runs on Clark's own hardware — no local computer-use setup, no VM provisioning
  • ✓Free entry point (structured metadata lists $0)
  • ✓Native Android app is unusual for computer-use agents
  • ✓Inspectable output makes review and audit tractable
  • ✓Backed by in-house model compression, targeting sustained low per-task cost

Cons

  • ✗Pricing and plan limits not published on the marketing site — needs manual verification
  • ✗No MCP support advertised
  • ✗JavaScript SPA hides most public documentation from crawlers
  • ✗Early-stage lab; product maturity unclear vs. Anthropic Computer Use / OpenAI Operator
  • ✗Running on Clark's machine means limited flexibility for tasks that need your local files or credentials

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Review Wisp AI AssistantReview Clark