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Wisp
Wisp - A hotkey-driven AI overlay for your desktop, with MCP
Wisp - A hotkey-driven AI overlay for your desktop. Press a key, pick an intent, and Wisp reads the right context, then streams an answer without making you leave what you're doing. Local-first, voice in/out, bring your own model provider. - SunnyLich/Wisp-AI-Assistant
I built Wisp because I kept copying text into an LLM chat, re-explaining the context, and pasting the answer back while working in other apps.
With Wisp, a prompt can take as few as two key presses: one to open Wisp and one to choose an action. Selecting or changing a context source adds a third. The answer streams into a small overlay. To follow up, press the hotkey again or open the full chat window for a longer back-and-forth.
It also includes:
-Selected-text, clipboard, active-app, browser, document, and screen-snip context—each source can be selected with one keypress from the overlay
-Rewrite-and-paste back into the original field
-Hold-to-talk voice queries and direct dictation
-Local or optional cloud TTS
-Hosted providers and local OpenAI-compatible endpoints such as Ollama and LM Studio
-MCP client and context-server support
-A full chat window for longer conversations
-Isolated Python add-ons
-Full privacy*
*Wisp has no project-operated backend or hosted storage layer. Settings, chats, and optional memory remain on your machine, while API keys are stored in the OS keychain. Prompts and selected context go directly to your configured provider or local endpoint. Privacy mode is enabled by default to warn about or redact detected sensitive information before sending. Your chosen provider still receives anything you explicitly send to it.
Wisp uses your own model connection—you can configure a supported provider/API key or connect a local server such as Ollama or LM Studio. Wisp allows ChatGPT / Codex subscription access through OAuth. More on:
https://sunnylich.github.io/Wisp...
Packaged builds are available for Windows 10+, macOS 13+, and Linux X11. Linux Wayland support is still in progress, and the latest macOS releases need additional community testing.
There is no paid or “pro” version; the complete app is MIT-licensed.
I’m looking for feedback, bug reports, and general impressions from anyone willing to try Wisp. Let me know what works well, what feels confusing, what breaks, or what you think could be improved.
Repo, demo GIFs, documentation, and packaged builds:
https://github.com/SunnyLich/Wis...
Website:
https://sunnylich.github.io/Wisp...
About Wisp on Product Hunt
“Wisp - A hotkey-driven AI overlay for your desktop, with MCP”
Wisp was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #124 on the daily leaderboard. Wisp - A hotkey-driven AI overlay for your desktop. Press a key, pick an intent, and Wisp reads the right context, then streams an answer without making you leave what you're doing. Local-first, voice in/out, bring your own model provider. - SunnyLich/Wisp-AI-Assistant
On the analytics side, Wisp competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 583.7k followers on Product Hunt. The dashboard above tracks how Wisp performed against the three products that launched closest to it on the same day.
Who hunted Wisp?
Wisp was hunted by Wisp. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Wisp including community comment highlights and product details, visit the product overview.
Wisp