Agency OS: Run your work like an AI agency from Notion

An open-source tool to organize and execute tasks like an AI agency, directly from a Notion database.

Agency OS: Run Your Work Like an AI Agency from Notion

Agency OS is an open-source framework designed to streamline the execution of AI-powered tasks and projects by leveraging the familiar interface of Notion. It provides a structured environment for developers to manage and automate workflows, treating your projects as if they were handled by a dedicated AI agency. This tool is ideal for individuals and teams looking to bring order and efficiency to their AI development and deployment processes.

What Agency OS Does

Agency OS transforms your Notion workspace into a central hub for managing AI agents and their associated tasks. It allows you to define projects, assign tasks to specific AI agents, and track their progress directly within a Notion database. The system is built to handle the complexities of AI workflows, from initial task breakdown to execution and reporting, all managed through a user-friendly database structure.

Key Features

Notion Integration: Seamlessly manage all aspects of your AI agency operations within your existing Notion setup.
Agent Management: Define, configure, and deploy multiple AI agents for various tasks.
Task Orchestration: Organize and prioritize tasks, assigning them to the most suitable agents.
Workflow Automation: Automate the execution of sequences of tasks and agent interactions.
Open-Source Framework: Benefit from a flexible and customizable codebase, allowing for tailored solutions.
Progress Tracking: Monitor the status and outcomes of all tasks and projects in real-time.

Who Agency OS is For

Agency OS is specifically built for AI developers , ML engineers , and project managers who are working with AI models and agents. If you are looking to establish a more organized and automated system for managing AI projects, from personal experiments to team-based development, Agency OS provides the structure and tools to do so. It's particularly useful for those who prefer a database-centric approach to project management and want to integrate AI execution directly into their workflow.