Ollama Client - Chat with Local LLM Models

Tracking since Apr 8, 2026.

Changelog

• Jun 23, 2026
  description

  Ollama Client – Local LLM Chat in Your Browser
  
  Ollama Client is a privacy-focused browser extension for interacting with locally hosted AI models. Connect to supported local LLM servers and chat directly inside your browser without relying on cloud-based inference.
  
  Supported Providers
  • Ollama
  • LM Studio
  • llama.cpp compatible servers
  
  Features
  • Connect and manage multiple local AI providers
  • Switch models and monitor provider status
  • Streaming chat responses with stop and regenerate controls
  • Session history and chat management
  • Local file attachments and optional webpage context
  • Custom prompt templates and model parameter controls
  • Responsive interface optimized for desktop workflows
  
  Privacy
  • No cloud inference
  • No external data transfer required
  • Data stays on your device and local network
  
  Who It’s For
  • Developers working with local AI models
  • Researchers testing self-hosted LLMs
  • Students learning offline AI workflows
  • Privacy-conscious users
  
  Setup
  
  1. Install the extension
  2. Run a supported local LLM server
  3. Connect using localhost or a LAN IP
  4. Start chatting
  
  Important Notes
  • This extension is a frontend client and does not include AI models
  • Performance depends on your hardware and backend server configuration
  
  Useful Links
  
  Chrome Web Store:
  https://chromewebstore.google.com/detail/ollama-client/bfaoaaogfcgomkjfbmfepbiijmciinjl
  
  Setup Guide:
  https://ollama-client.shishirchaurasiya.in/ollama-setup-guide
  
  Website:
  https://ollama-client.shishirchaurasiya.in/
  
  GitHub:
  https://github.com/Shishir435/ollama-client

  Ollama Client – Local LLM Chat in Your Browser
  
  Ollama Client is a privacy-focused browser extension for interacting with locally hosted AI models. Connect to supported local LLM servers and chat directly inside your browser without relying on cloud-based inference.
  
  Supported Providers
  • Ollama
  • LM Studio
  • llama.cpp compatible servers
  
  Features
  • Connect and manage multiple local AI providers
  • Switch models and monitor provider status
  • Streaming chat responses with stop and regenerate controls
  • Reasoning and thinking traces from models that support them
  • Tool calling, so models can run actions and return results
  • Web search through your own provider (SearXNG, Brave, or Tavily), off by default and configurable
  • Session history and chat management
  • Local file attachments and optional webpage context
  • Selected-text actions from the right-click context menu
  • Saved knowledge and memory for reusable context
  • Custom prompt templates and model parameter controls
  • Side panel and popup access
  • Multi-language interface (English, German, Spanish, French, Hindi, Italian, Japanese, Russian, and Simplified Chinese)
  • Responsive interface optimised for desktop workflows
  
  Privacy
  • No cloud inference
  • No external data transfer required
  • Data stays on your device and local network
  • Web search is optional and routes only through the provider you choose
  
  Who It's For
  • Developers working with local AI models
  • Researchers testing self-hosted LLMs
  • Students learning offline AI workflows
  • Privacy-conscious users
  
  Setup
  1. Install the extension
  2. Run a supported local LLM server
  3. Connect using localhost or a LAN IP
  4. Start chatting
  
  Important Notes
  • This extension is a frontend client and does not include AI models
  • Performance depends on your hardware and backend server configuration
  
  When you ask the model to use the current page, the extension first tries to talk to its content script on that tab. On tabs where the content script was not already loaded (for example, a tab that was open before the extension was installed or updated), there is no receiver to answer. In that case the extension uses scripting to inject its content script on demand into that single tab, so it can extract the page text and hand it to the model.
  
  This injection is:
  • On demand only — it runs in response to your action, never in the background or on a schedule
  • Scoped to the active tab you are using, not all tabs
  • Limited to reading page content for the request you made
  
  
  Useful Links
  
  Chrome Web Store:
  https://chromewebstore.google.com/detail/ollama-client/bfaoaaogfcgomkjfbmfepbiijmciinjl
  
  Setup Guide:
  https://www.ollamaclient.in/guides/provider-setup
  
  Website:
  https://www.ollamaclient.in
  
  GitHub:
  https://github.com/Shishir435/ollama-client

• Jun 23, 2026
  permissions

  storage, sidePanel, tabs, declarativeNetRequest, contextMenus

  storage, sidePanel, tabs, scripting, declarativeNetRequest, contextMenus

• May 28, 2026
  description

  Ollama Client – Local LLM Chat in Your Browser (Multi‑Provider)  
  A privacy‑first, offline AI chat experience for local LLMs with multi‑provider support.  
  No cloud inference. No data leaving your machine.
  
  What It Is  
  Ollama Client is a browser‑based frontend UI for local LLM servers. It connects to your self‑hosted LLM backend and lets you chat inside your browser. Supports Ollama, LM Studio, and llama.cpp servers.
  
  Key Features  
  - Provider & model management: connect multiple local servers, switch models, view provider status  
  - Chat & session management: streaming responses, stop/regenerate, session history  
  - File & webpage context: local file attachments and optional page context for better answers  
  - Customisation & performance: prompt templates, model parameters, responsive UI  
  - Privacy & local storage: data stored locally; no external transfer required
  
  Supported Providers  
  - Ollama (Ollama UI)  
  - LM Studio (LM Studio client)  
  - llama.cpp servers (OpenAI‑compatible local endpoints / llama.cpp UI)
  
  Privacy & Local‑Only Guarantee  
  - No cloud inference  
  - No external data transfer  
  - All data stays on your machine and local network
  
  Who It’s For  
  - Developers working with local AI models  
  - Researchers evaluating self‑hosted LLMs  
  - Students learning with offline AI chat  
  - Privacy‑conscious users who avoid cloud services
  
  Setup Summary  
  1) Install the extension  
  2) Run a supported local LLM server  
  3) Connect via `localhost` or your LAN IP  
  4) Start chatting
  
  Disclaimer  
  - Performance depends on your hardware and the backend server  
  - The extension does not include models or run inference itself
  
  Useful Links  
  Chrome Web Store: https://chromewebstore.google.com/detail/ollama-client/bfaoaaogfcgomkjfbmfepbiijmciinjl  
  Setup Guide: https://ollama-client.shishirchaurasiya.in/ollama-setup-guide  
  Landing Page: https://ollama-client.shishirchaurasiya.in/  
  Privacy Policy: https://ollama-client.shishirchaurasiya.in/privacy-policy  
  GitHub: https://github.com/Shishir435/ollama-client  
  Bug: https://github.com/Shishir435/ollama-client/issues
  
  Start chatting in seconds — private, fast, and fully local AI conversations on your own machine.
  
  Built for developers, researchers, and anyone who values speed, privacy, and offline AI control.  
  #ollama #privacy #olama-client #opensource #offline #ollama-ui #ollamachat #gpt-oss #lm-studio #llama.cpp

  Ollama Client – Local LLM Chat in Your Browser
  
  Ollama Client is a privacy-focused browser extension for interacting with locally hosted AI models. Connect to supported local LLM servers and chat directly inside your browser without relying on cloud-based inference.
  
  Supported Providers
  • Ollama
  • LM Studio
  • llama.cpp compatible servers
  
  Features
  • Connect and manage multiple local AI providers
  • Switch models and monitor provider status
  • Streaming chat responses with stop and regenerate controls
  • Session history and chat management
  • Local file attachments and optional webpage context
  • Custom prompt templates and model parameter controls
  • Responsive interface optimized for desktop workflows
  
  Privacy
  • No cloud inference
  • No external data transfer required
  • Data stays on your device and local network
  
  Who It’s For
  • Developers working with local AI models
  • Researchers testing self-hosted LLMs
  • Students learning offline AI workflows
  • Privacy-conscious users
  
  Setup
  
  1. Install the extension
  2. Run a supported local LLM server
  3. Connect using localhost or a LAN IP
  4. Start chatting
  
  Important Notes
  • This extension is a frontend client and does not include AI models
  • Performance depends on your hardware and backend server configuration
  
  Useful Links
  
  Chrome Web Store:
  https://chromewebstore.google.com/detail/ollama-client/bfaoaaogfcgomkjfbmfepbiijmciinjl
  
  Setup Guide:
  https://ollama-client.shishirchaurasiya.in/ollama-setup-guide
  
  Website:
  https://ollama-client.shishirchaurasiya.in/
  
  GitHub:
  https://github.com/Shishir435/ollama-client

• May 28, 2026
  name

  ollama-client

  Ollama Client - Chat with Local LLM Models

• Apr 8, 2026
  name

  Ollama Client - Chat with Local LLM Models

  ollama-client

Permissions & access

Permissions

storagesidePaneltabsscriptingdeclarativeNetRequestcontextMenus

Host access

<all_urls>

Screenshots

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