A browser extension chat window for supported LLM APIs and local Ollama models.
Users
9
0 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
1
0 in 30 days
Store rank
#209K
#175K among extensions
Version
0.2.4
updated 8 Jun 2026
Users
monthly, 5 months
Latest, 21 Oct 2026:9 usersMove the mouse over the chart for any month
Ratings count
monthly, 5 months
Latest, 21 Oct 2026:1 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About lemon cha
Full description
lemon cha is a dedicated browser chat workspace for writing, translation, code review, troubleshooting, and everyday AI-assisted work. It keeps the experience calm and lightweight while giving each chat its own remembered mode, so normal conversations and translation sessions stay easy to distinguish.
You can:
Connect your own OpenAI-compatible API.
Use local Ollama models.
Save model-specific API, model name, temperature, token limit, and system prompt settings.
Launch reusable workflows with prompt presets.
Start a dedicated translation chat without interrupting the current conversation.
Organize conversation history with folders, rename chats, and export Markdown.
Configure interface language, default answer language, and default translation target language. By default, the interface follows the browser language when available, with English as the fallback.
lemon cha does not provide its own cloud model service. Your requests are sent only to the model endpoint you configure or to your local Ollama server.
Highlights
Dedicated chat tab
Streaming responses
Local Ollama support
Custom API support
Multilingual UI
Dedicated translation chats
Prompt preset workflows
Conversation organization
Markdown export
Privacy summary
API keys are stored in local browser extension storage.
Conversations, settings, and prompt presets are stored locally.
lemon cha does not upload data to its own server.
User messages are sent only to the model provider or local endpoint configured by the user.