# ChatPanel: A Privacy-First AI Agent Side Panel

> Source: <https://promptcube3.com/en/threads/2464/>
> Published: 2026-07-23 18:00:44+00:00

# ChatPanel: A Privacy-First AI Agent Side Panel

Privacy-centric AI tools usually sacrifice functionality for security, but ChatPanel manages to bridge the gap by acting as a local orchestrator for various LLM agents. Instead of being locked into a single provider, this browser side panel lets you plug in your own agents—whether that's

For anyone building a custom AI workflow, the open-source nature of the project is the biggest win. You can actually verify the privacy claims in the code rather than trusting a marketing page.

4. Add your preferred MCP servers to the hub to extend the agent's capabilities.

[Claude](/en/tags/claude/)Code, local models, or remote APIs—while keeping the data flow under your control.The core value here is the flexibility of the "bridge." You install the extension and a few npm packages to connect your local AI environment to the browser.

## Key Technical Capabilities

**Model Agnostic:** You can toggle between Codex, Claude Code, or local in-browser models on a per-message basis.**Local Processing:** Voice-to-text and PII (Personally Identifiable Information) redaction happen locally, meaning sensitive data is scrubbed before it ever hits a remote server.**Context Integration:** It functions as a local note-taking app and meeting assistant, allowing you to search across your own history and notes.**Extensibility:** It includes a built-in MCP (Model Context Protocol) hub and supports CLI agents like OpenCode.**Browser Interaction:** The "act mode" allows the agent to interact with tools like Excalidraw directly in the browser.

For anyone building a custom AI workflow, the open-source nature of the project is the biggest win. You can actually verify the privacy claims in the code rather than trusting a marketing page.

## Setup Workflow

To get this running, you generally follow these steps:

1. Install the browser extension.

2. Install the required bridge packages via npm:

```
npm install -g chatpanel-bridge
```

3. Configure your API keys or point the extension to your local LLM endpoint (e.g., Ollama).4. Add your preferred MCP servers to the hub to extend the agent's capabilities.

This is a solid choice for developers who want a "command center" for their AI agents without shipping every single keystroke to a third-party cloud.

[Next Mapbox GL JS: Turning Cities into 3D Cutscenes →](/en/threads/2448/)

## All Replies （3）

J

D

Does this support custom system prompts for the different agents, or is that handled externally?

0

A

Been using a similar setup for work docs; makes a huge difference for peace of mind.

0