Teebots – Free Local Multi-Agent AI Desktop App for macOS

What Is Teebots?

Teebots is a free, local multi-agent AI desktop application for macOS that allows users to create, manage, and collaborate with a small team of AI bots directly on their own computers.

Unlike traditional AI assistants that handle everything within a single conversation, Teebots enables users to create multiple specialized AI agents, each with its own workspace, memory, browser, and responsibilities.

These AI bots can collaborate through group chats, browse websites, manage files, perform scheduled tasks, and assist with everyday workflows while keeping sensitive actions under user control.

Teebots operates locally on Apple silicon Macs and does not require a hosted server or a Teebots account.

Users simply install the application, connect their preferred AI model using their own API key, and create their first bot.

The macOS application is signed and notarized by Apple.

Why Choose Teebots Instead of a Traditional AI Assistant?

The Limitations of Single-Assistant Workflows

Most AI assistants operate through a single chat interface where users manage different tasks within the same conversation.

As projects become more complex, this approach can create several challenges:

• Research notes become mixed with writing tasks.
• Different projects compete for the same conversation context.
• Files and browser sessions are difficult to organize.
• Repetitive tasks require manual instructions.
• Specialized workflows become harder to manage.
• Sensitive actions need additional oversight.

Teebots addresses these challenges by introducing a team-based AI workflow.

A Team of Specialized AI Bots on Your Mac

Instead of asking one assistant to perform every task, users can create individual AI bots with clearly defined responsibilities.

For example, a research bot can gather information, a writing bot can prepare reports, and a monitoring bot can check websites.

Each bot maintains its own workspace while remaining available for collaboration through group conversations.

This structure makes it easier to organize responsibilities and coordinate multi-step tasks.

Key Features of Teebots

1. Local Multi-Agent AI Workspace

Teebots provides a desktop environment where multiple AI agents can operate on the same Mac.

Each bot can be assigned a specific role, allowing users to organize different tasks without combining everything into one assistant.

Key capabilities include:

• Create multiple specialized AI bots.
• Assign different responsibilities to individual agents.
• Organize bots into group conversations.
• Maintain separate bot workspaces.
• Coordinate tasks between AI agents.
• Manage workflows without deploying a server.

This approach is useful for users who want a structured AI team rather than a single general-purpose chatbot.

2. AI Agent Group Chats and Collaboration

One of Teebots' central features is its group chat system.

Users can bring multiple AI bots into a shared conversation and direct requests to specific agents.

Mention-Based AI Agent Communication

Users can mention a particular bot when assigning a task.

For example:

• Ask a research bot to gather information.
• Mention a writing bot to create a report.
• Request a monitoring bot to check a webpage.
• Ask another bot to organize notes.

If no specific bot is mentioned, an eligible bot with a public bio may respond.

When an instruction is unclear, the agent can present a choice card to request clarification rather than making an unsupported assumption.

This helps maintain clearer communication between users and their AI teams.

3. Separate Memory and Workspace for Every AI Bot

Teebots gives each AI agent its own folder, memory, and browser environment.

This separation helps prevent unrelated tasks from interfering with one another.

Individual bot environments include:

• Dedicated local folders.
• Separate working memory.
• Independent browser sessions.
• Bot-specific files and artifacts.
• Individual task responsibilities.

For example, a writing bot can maintain drafts in its own folder while a research bot stores reference materials separately.

This organization makes it easier to manage multiple workflows and locate completed work.

4. AI Browser Automation on Your Computer

Teebots includes browser automation capabilities that allow AI agents to interact with websites using a browser running on the user's Mac.

Depending on the task, a bot can navigate webpages and perform supported browser interactions.

Browser automation features include:

• Opening websites.
• Reading webpage content.
• Clicking links and interface elements.
• Filling out online forms.
• Capturing screenshots.
• Navigating between webpages.
• Gathering information from online sources.

Each bot has its own browser environment, helping keep browsing sessions and logins separate.

This feature is useful for research, information gathering, website monitoring, and repetitive web-based workflows.

5. Human Approval for Sensitive Actions

Teebots is designed to keep users in control of important browser actions.

Before performing sensitive operations, such as submitting a form or making a payment, the agent pauses and requests confirmation.

How Approval-Based Automation Works

When a bot reaches a sensitive action, it displays a confirmation request.

The operation remains pending until the user approves it.

If the user is away from the computer, the agent continues waiting rather than automatically completing the action.

This human-in-the-loop approach provides an additional control layer for AI-powered browser automation.

6. Scheduled AI Tasks and Recurring Automation

Teebots supports scheduled workflows, allowing users to automate tasks that need to run regularly.

Instead of manually repeating the same instructions, users can configure recurring agent activities.

Supported scheduling patterns include:

• Daily tasks.
• Weekday schedules.
• Weekly automation.
• Recurring research activities.
• Scheduled reports and summaries.
• Periodic website checks.

For example, a user can schedule a bot to prepare a weekly project summary every Friday.

Missed Task Recovery

If a scheduled run is missed, Teebots can catch up on the latest missed run when the application resumes.

The application can remain active in the macOS menu bar even when its main window is closed.

Scheduled tasks that involve sensitive operations still require the appropriate user confirmation.

7. Bring Your Own AI Model API Key

Teebots uses a Bring Your Own Key (BYOK) model, allowing users to connect AI models through their own API credentials.

Rather than requiring a subscription to a bundled AI assistant service, users provide a model key from a supported provider.

Built-in configuration options include:

• Claude.
• OpenAI.
• DeepSeek.
• Kimi.
• Other supported model providers.
• OpenAI-compatible API endpoints.

Users can choose different AI models for different bots.

This flexibility allows an AI team to use models suited to different workloads and requirements.

8. Multi-Model AI Agent Support

Teebots allows individual bots to use different language models.

For example, one agent can use a model selected for writing while another uses a model selected for research or technical tasks.

Users can configure models according to their preferences, API access, and available provider capabilities.

Backup Model Fallback

Teebots also supports fallback model configurations.

If a primary AI model cannot be reached, the application can attempt to use a configured backup model.

This feature can help maintain workflow continuity during model provider availability issues.

9. Local-First Privacy Architecture

Teebots follows a local-first application design.

Chats, bot files, and browser login information are stored on the computer where the application is installed.

The product does not require users to create a Teebots account or maintain a separate hosted workspace.

Privacy-related characteristics include:

• Local chat storage.
• Local bot files and artifacts.
• Browser sessions stored on the Mac.
• Direct API requests to selected AI providers.
• No Teebots-hosted model request relay.
• No usage statistics collected by Teebots.
• User approval for sensitive actions.

Understanding AI Provider Data Access

Although Teebots stores its workspace locally, requests sent to an external AI model still reach the selected model provider.

The provider may process those requests according to its own policies.

Therefore, local-first operation should not be confused with fully offline AI inference or a guarantee that information never leaves the computer.

10. Local File Management and Command Execution

Within its assigned workspace, a Teebots agent can work with local files and execute supported commands.

This enables agents to assist with file-based workflows, technical tasks, and content preparation.

Supported activities include:

• Reading files.
• Writing files.
• Organizing generated outputs.
• Running commands.
• Producing reusable artifacts.
• Maintaining bot-specific working directories.

Generated files remain available in the relevant bot's workspace for later review and use.

11. MCP Tool Integration

Teebots supports connections to Model Context Protocol (MCP) tools.

MCP provides a standardized approach for connecting AI applications to compatible tools and external capabilities.

Through supported integrations, users can extend their AI bots beyond the application's built-in functionality.

The available actions depend on the configured MCP tools and their permissions.

12. Reusable AI Skills

Teebots can reuse compatible skills already stored on the user's computer.

This includes skills maintained in a local Claude skills folder.

By reusing existing skills, users can bring familiar instructions and workflows into their Teebots environment without rebuilding every capability from scratch.

13. macOS Menu Bar Operation

Teebots can remain active in the macOS menu bar after the main application window is closed.

This allows the application to continue managing supported background workflows and schedules.

Users do not need to keep the main chat window open throughout the day.

However, the Mac must still be available for local execution. A sleeping or powered-off computer cannot continuously perform browser-based tasks.

14. Signed and Notarized macOS Application

The Teebots Mac application is signed and notarized by Apple.

Code signing and notarization help macOS verify the application's developer identity and check the distributed software through Apple's security process.

This does not eliminate every possible software risk, but it provides an important distribution and verification mechanism for macOS users.

How Teebots Works

Step 1: Download and Install Teebots

Download the macOS application and install it on a compatible Apple silicon Mac.

No separate server deployment is required.

Step 2: Connect an AI Model

Add an API key from a supported AI model provider, such as OpenAI, Claude, DeepSeek, or another compatible service.

Step 3: Create Your First AI Bot

Create a bot and assign it a specific role.

For example, you might create a research assistant responsible for gathering information from websites.

Step 4: Add More Specialized Agents

Create additional bots for different responsibilities, such as writing, research, project organization, or website monitoring.

Each bot receives its own workspace.

Step 5: Create an AI Team Group Chat

Bring selected bots into a shared conversation.

Mention individual agents to assign tasks and coordinate their activities.

Step 6: Configure Automation and Schedules

Set recurring tasks for activities such as daily note reviews, weekly summaries, or periodic website checks.

Step 7: Review Sensitive Actions

When a bot requests permission for a sensitive operation, review the proposed action before approving it.

Step 8: Access Completed Work

Review generated documents, notes, screenshots, and other artifacts in the relevant bot's local workspace.

Practical Use Cases for Teebots

AI Research Assistant

Create a research bot that visits websites, collects information, organizes findings, and saves reference materials.

This can be useful for market research, competitor analysis, and topic exploration.

AI Content Writing Team

Use separate research and writing bots to prepare articles, reports, documentation, and other written materials.

The research bot can collect supporting information while the writing bot focuses on drafting.

Automated Weekly Reports

Schedule an AI bot to organize notes and prepare a weekly summary.

This can reduce repetitive work for professionals managing recurring reporting responsibilities.

Website Monitoring

Assign a bot to check a website at scheduled intervals and collect relevant information.

For example, it can review a webpage and record changes observed during a scheduled run.

Developer Productivity

Developers can use specialized bots for supported file operations, command execution, documentation, and technical research.

Separate workspaces help keep different responsibilities organized.

Product Management Workflows

Product managers can create bots for gathering research, organizing project notes, and drafting updates.

Group chats make it easier to coordinate related tasks without merging all work into one conversation.

Personal Knowledge Organization

Use a dedicated bot to organize notes and files while other bots handle research or writing.

This helps maintain a clearer separation between information collection and content creation.

Teebots vs Traditional AI Chatbots

Teebots focuses on local multi-agent collaboration rather than replacing every feature offered by cloud-based AI platforms.

Who Should Use Teebots?

Independent Developers

Developers who want multiple AI assistants for technical research, file operations, and documentation may benefit from Teebots' separate workspaces and command capabilities.

Researchers and Analysts

Researchers can use dedicated agents to gather web information, maintain notes, and prepare summaries.

Writers and Content Creators

Writers can organize research, drafting, and review activities across separate bots.

Product Managers

Product managers can delegate recurring information-gathering and reporting tasks to specialized AI assistants.

Freelancers and Solo Professionals

Freelancers can create a small AI team for different responsibilities without deploying a dedicated server.

AI Automation Enthusiasts

Users interested in multi-agent workflows, custom AI models, local automation, and MCP integrations can experiment with different agent configurations.

Teebots System Requirements and Compatibility

Supported Operating System

Teebots is currently available as a macOS desktop application.

Hardware Compatibility

The application is designed for Apple silicon Macs.

AI Model Requirements

Users need an API key or access to a compatible AI model endpoint.

Internet Requirements

Internet connectivity is needed for requests to external AI model providers and for web-based tasks.

Account Requirements

A Teebots account is not required to use the desktop application.

Windows and Linux Availability

The provided product information describes the Apple silicon macOS version only. Windows and Linux versions are not confirmed.

Teebots Pricing – Is Teebots Free?

Free macOS Desktop Application

Teebots is available as a free desktop application for Apple silicon Macs.

Users do not need to purchase a Teebots subscription to create their local AI team.

However, the application follows a Bring Your Own Key model.

Important: Although the Teebots app is free, external AI model providers may charge for API usage according to their own pricing structures.

Actual model costs depend on the selected provider, model, and usage.

Teebots Privacy and Security

Local Storage and Direct Model Connections

Teebots stores chats, files, and browser session information locally.

Model requests are sent directly from the user's Mac to the chosen AI provider rather than through a Teebots-operated relay.

The application does not collect usage statistics according to its stated product design.

Human-in-the-Loop Controls

Sensitive browser actions require user approval before proceeding.

This helps users maintain control over important actions while allowing bots to handle routine steps.

Independent Bot Environments

Each bot's separate folder and browser environment helps organize data and reduce accidental overlap between unrelated tasks.

These boundaries are useful for workflow separation, although they should not be treated as a substitute for operating-system security controls.

Advantages and Limitations of Teebots

Key Advantages

• Free local AI desktop application.
• Multiple specialized AI bots.
• Group chat collaboration.
• Independent bot folders, memory, and browsers.
• Browser automation capabilities.
• Recurring task scheduling.
• Support for multiple AI model providers.
• Backup model fallback.
• MCP and reusable skills support.
• Human approval for sensitive actions.
• No Teebots account or hosted server required.

Important Limitations

• Available for Apple silicon macOS.
• Requires access to a compatible AI model.
• External model API usage may involve costs.
• Web automation requires appropriate connectivity.
• Local schedules depend on the Mac being available.
• Sensitive actions can remain pending until approved.
• Not designed as a hosted, always-on cloud workspace.

Frequently Asked Questions About Teebots

Is Teebots free to use?

Yes. The Teebots macOS application is free. However, users provide their own AI model credentials, and external API usage may incur charges.

Does Teebots require an account?

No. Users can install the application and create bots without registering a Teebots account.

Can I create multiple AI agents?

Yes. Teebots supports multiple specialized bots with separate workspaces, memory, and browser environments.

Can Teebots agents work together?

Yes. Users can organize bots into group chats and assign tasks by mentioning specific agents.

Does Teebots support OpenAI and Claude?

Yes. Teebots includes configuration options for OpenAI, Claude, DeepSeek, Kimi, and other compatible AI model endpoints.

Can Teebots automate browser tasks?

Yes. Bots can perform supported browser actions such as opening pages, reading content, clicking, filling forms, and taking screenshots.

Does Teebots require approval before payments or form submissions?

Yes. Sensitive actions are designed to pause for user confirmation.

Can Teebots run scheduled tasks?

Yes. Users can configure daily, weekday, and weekly tasks, with support for catching up on the latest missed run.

Is Teebots fully offline?

No. Although the application stores its workspace locally, external AI model requests and web automation typically require internet connectivity.

Does Teebots work on Windows?

The supplied product information confirms support for Apple silicon macOS only. Windows support is not established.

Does Teebots support MCP tools?

Yes. Teebots supports compatible MCP tool connections and reusable local skills.

Final Thoughts: Is Teebots Worth Trying?

Teebots is a free local multi-agent AI application designed for people who want to organize work across multiple specialized AI assistants.

Instead of relying on one chatbot for every responsibility, users can build a small team of bots with independent memory, files, browsers, and tasks.

Its combination of AI agent group chats, browser automation, scheduled workflows, multiple AI model support, local-first storage, and approval-based sensitive actions makes it relevant to developers, researchers, writers, product managers, and independent professionals.

Teebots is particularly appealing to users who prefer managing AI workflows on their own Mac without creating a hosted workspace or deploying server infrastructure.

For Apple silicon Mac users who already have access to an AI model API, Teebots provides a practical way to explore collaborative AI agents and local desktop automation.