ConnectOnion — CLI tool to connect AI agents to your accounts and tools like Gmail, Slack, and your browser.
Analyzed by Sai Pavan Gopularam · AI · Agents · CLI Tools · View on GitHub
- Stars: 1496
- Forks: 226
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: Python
- License: Apache-2.0
What It Is
Imagine a universal remote control, but for your AI agent. ConnectOnion is a command-line interface (CLI) that gives your AI agent access to all your digital tools and accounts, from Gmail and Outlook to chat apps, your browser, and even local files.
It solves the problem of AI agents being stuck in a sandbox, unable to interact with the real-world applications and data you use daily. By providing a standardized CLI, it allows agents to read context, perform actions, and carry information between disparate services, centralizing control and context on your machine.
License Verdict
Apache-2.0 License — Build and Sell Freely — Commercial Use Approved • Patents Protected • No Copyleft Restrictions
The Apache-2.0 license is highly permissive, allowing you to use, modify, and distribute this software for any purpose, including commercial products. You can incorporate it into proprietary software without needing to open-source your own code. It also grants patent rights, offering protection against patent infringement claims from contributors.
How to Use It
ConnectOnion provides a command-line interface (CLI) to integrate your AI agents with various services. Install it, then initialize your identity and connect your accounts like Google or Microsoft to get started.
Prerequisites:
- Python 3.10+
Estimated setup time: 10 minutes.
pip install connectonion
co init
co auth google
co commandsWhat I'd Build With This
Automated Meeting Prep Agent (micro-saas)
Build an agent that, given an upcoming calendar event, uses ConnectOnion to gather relevant emails, chat discussions, related tasks from Linear, and web research about attendees or topics. The agent then summarizes this information and presents it to the user before the meeting. Target busy professionals, consultants, or sales teams.
Effort: 1 Week Build Time · Target: Busy Professionals · Pricing: $29/mo
AI-Powered Customer Support Workflow Builder (saas)
Develop a platform where businesses can define custom AI agent workflows that interact with their existing customer support tools (e.g., Gmail, Slack, Linear, Canny). Agents can read support tickets, search knowledge bases, escalate issues, update CRM, and respond to customers, all orchestrated through ConnectOnion's CLI. Sell to small to medium businesses with customer support teams.
Effort: 3 Months Build Time · Target: SMBs with Support Teams · Pricing: $199/mo per agent seat
Secure Internal AI Workflow Automation Suite (enterprise)
Offer an on-premise or private cloud solution for large enterprises to build, deploy, and manage AI agents that automate internal processes. Leverage ConnectOnion's local context flow (`co rem`) and secure credential management, integrating with enterprise tools like Outlook, Teams, and internal systems (via `co browser`). Focus on data governance and auditability (`co audit`) for IT and operations teams.
Effort: 6 Months Build Time · Target: Large Enterprises · Pricing: $5,000/mo + per-user fees
Sai Pavan Gopularam's Take
This project is a foundational piece for anyone looking to build AI agents that *actually do things* in the real world, not just chat. Its CLI-first approach means you can plug it into any agent framework without heavy integration work. I'd estimate a well-executed micro-SaaS built on this, like an automated meeting prep tool, could generate $5k/month within a year.
Watch Out For
- macOS-only for `co rem` scheduling: The daily scheduling feature for `co rem` (decentralized context flow) currently requires macOS, limiting its use for automated context gathering on other operating systems.
- Data Handling & Model Costs: While context lives on your machine, selected source content is sent to a configured model during investigation, incurring model costs and requiring careful consideration of sensitive data.
- CLI-centric approach: Agents interact via shell commands, which is powerful but might require adapting non-CLI-native agent frameworks or building wrappers to fully leverage ConnectOnion's capabilities.
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