Pond: macOS tool for efficiently managing WhatsApp messages with AI-generated replies

Pond is a messaging management tool for macOS that helps users efficiently handle messages on platforms like iMessage, WhatsApp, and Messenger. It saves 3-5 hours per week by automatically organizing messages and generating draft replies using AI technology. Pond emphasizes privacy, stores data locally on the device, and is free for personal users, with customization available in the commercial version. Users can quickly install it through Homebrew, and developers can utilize the MCP The protocol integrates Pond into AI applications.Founded by Aagam Dalal and Brian Williams, Pond was backed by Y Combinator in 2025 and is headquartered in San Francisco, CA.

Function List

• Prioritize important messages: AI automatically identifies key messages and displays them on top.
• Automatic tagging and filtering: add tags to messages, support quick filtering and organizing.
• Message Hibernation and Scheduled Sending: Supports hiding messages temporarily or scheduling them to be sent.
• Quick Search and Keyboard Shortcuts: Provides fuzzy search and shortcuts to speed up message processing.
• AI Generate draft replies: Generate personalized replies, conversation summaries or drafts with one click.
• Multi-platform messaging support: compatible with iMessage, WhatsApp and Messenger.
• Privacy protection mechanism: data is stored locally and accessed by AI applications through secure protocols.
• Developer Interface Support: Provides MCP protocol, compatible with stdio and Streamable HTTP.

Using Help

Installation process

Pond is only supported on macOS (arm64 architecture) and is installed via Homebrew. Here are the detailed steps:

1. Installing Homebrew(if not installed):
   Open a terminal and run it:

   /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
   

   Follow the prompts to complete the installation and add Homebrew to the environment variables.

2. Installing Pond::
   Run the following command in the terminal:

   brew tap pond-ai/pond
   brew install --cask pond
   open /Applications/Pond.app
   

   After installation, the Pond application will launch automatically.

3. Verify Installation::
   Find it in the Applications folder on macOS. Pond.appIf you want to run the application, double-click on it to run it. The first time you launch the app, you may need to allow the app to be opened in "System Settings > Privacy & Security".
4. Update & Uninstall::
   • Update Pond: Run brew upgrade pondThe
   • Uninstall Pond: Run brew uninstall pondand delete /Applications/Pond.appThe

How Users Use Pond

Pond provides efficient message management and AI assistance with support for iMessage, WhatsApp, and Messenger.Here's a detailed how-to guide:

1. Message management functions

At its core, Pond is designed to help users quickly organize and process messages, and is suitable for users who need to manage a large number of messages, such as salespeople or team managers.

• View Priority Messages::
  When you open the Pond app, the home page displays important messages recognized by the AI (such as customer inquiries or urgent notifications), sorted by priority. Users can click on the "Priority Messages" tab to view them.
• Automatic labeling and filtering::
  Pond automatically adds tags (e.g. "Job" "Client") to messages. Click the "Tags" button at the top to select or create tags to quickly filter messages. For example, enter "Client" to display only relevant conversations.
• Message hibernation::
  For messages that do not need to be processed for a while, click the "Hibernate" button and select a hibernation time (e.g. 1 hour, 1 day). The message will be temporarily hidden to minimize interruptions.
• timeout::
  After writing a message, click "Send Timer" and select a time to send the message (e.g., "Tomorrow at 9:00").Pond will automatically send the message at the specified time.
• Quick Search::
  check or refer to Cmd + T Open the search bar and enter a keyword (e.g. "project update"), Pond supports fuzzy searches to quickly locate messages. The search results will highlight the keywords.

2. AI Generation Response

Pond's AI capabilities generate personalized responses, conversation summaries, or drafts for more efficient communication.

• Generating draft responses::
  Select a message, click the "Generate Draft" button, and Pond generates a response based on the context of the conversation. For example, if you receive an inquiry from a customer asking about "product pricing", Pond can generate a draft like "Thank you for your inquiry, our product pricing is $X/month, please see the attachment for details". The user can edit and send it directly.
• Generate dialog summaries::
  In long conversations, click on the "Summary" button and Pond will summarize the key points, e.g. "The customer is asking for a delivery time and needs to confirm the stock". The summary can be forwarded directly or saved as a note.
• Personalized Response::
  Adjust the tone (e.g., formal, friendly) in Settings > AI Preferences, and Pond will generate a response in the appropriate style based on the settings.

3. Connecting AI applications

Pond supports secure connection of local messaging data to AI applications such as Claude Desktop).

• Installation of target AI applications::
  Take Claude Desktop for example, download and install it from its official website.
• Configuring the Pond::
  Open Pond, click "Connect New Application" and select Claude Desktop.Pond generates a JSON configuration that contains APP_ID cap (a poem) POND_ACCESS_TOKENThe
• Modifying the AI Application Configuration::
  Open the Claude Desktop configuration file (usually found in the ~/Library/Application Support/Claude/claude_desktop_config.json), add:

  {
  "name": "Pond",
  "transport": "stdio",
  "app_id": "your_app_id",
  "access_token": "your_access_token"
  }
  

  Save and restart Claude Desktop.

• test connection::
  Enter "Summarize recent iMessage conversations" or "Find WhatsApp messages" into Claude Desktop, and Claude will fetch the data via Pond and return the results.

4. Guidance for developers

Pond offers the MCP (Message Context Protocol) protocol, which allows developers to integrate user message data into AI applications.

• Getting the MCP Binary::
  be situated at /Applications/Pond.app/Contents/MacOS/pond_mcp_serverThe
• Register Application::
  In Pond, click on "Connect New App", enter the app name, and get the APP_ID cap (a poem) POND_ACCESS_TOKENThe
• Running the MCP Server::
  Runs in the terminal:

  TRANSPORT=stdio APP_ID=your_app_id POND_ACCESS_TOKEN=your_access_token /Applications/Pond.app/Contents/MacOS/pond_mcp_server
  

  After the server starts, the application can access the data via stdio or Streamable HTTP.

• Development Support::
  consultation docs.trypond.ai Python example to quickly build an MCP client.

5. Free versus commercial version features

• free version: Suitable for individual users, it includes priority message display, auto-tagging, message hibernation and timed delivery.
• commercial version: Offers AI customized responses, white glove onboarding, custom channels and integrations. Required via https://cal.com/bewill+aagam Make an appointment for counseling.

caveat

• Pond only supports the macOS arm64 architecture and does not support Windows or iOS at this time.
• Data is stored locally to ensure privacy and security, and is accessed by AI applications through the MCP protocol.
• regular inspection https://www.trypond.ai maybe docs.trypond.ai Get feature updates.

application scenario

1. Effective Communication for Salespeople
   Salespeople deal with iMessage and WhatsApp customer messages on a daily basis. pond automatically identifies key messages, such as requests for quotes, and generates personalized response drafts, saving time on screening and responding.
2. Teamwork Management
   Team managers use the business version of Pond to improve team efficiency by integrating messages through custom channels and AI to generate meeting summaries or task assignments.
3. Developers Enhance AI App Experience
   Developers add user message context to AI chat apps.Pond's MCP protocol provides a secure data interface to generate more accurate AI responses.
4. Personal privacy protection needs
   Users want AI to analyze local iMessage or Messenger data, but don't trust the cloud. pond ensures that data stays on the device and meets privacy needs.

QA

1. What messaging platforms does Pond support?
   Support for iMessage, WhatsApp, and Messenger, with more platforms possible in the future.
2. How do you ensure data privacy?
   The data is stored on the local device and accessed by AI applications through the MCP protocol without uploading to the cloud.
3. What is the difference between the free version and the commercial version?
   The free version provides basic message management and AI functionality, while the commercial version supports customized responses and exclusive support, with consultation appointments required.
4. How do I contact the Pond team?
   pass (a bill or inspection etc) contact@trypond.ai or official website https://www.trypond.ai Submit feedback.
5. Does Pond support Windows?
   Currently only macOS (arm64) is supported, no plans for Windows or other platforms at this time.