Open Source AI Agent Connector — CleroConnector for MacOS Desktop Control

H1: Give Your AI Agents a Keyboard and Mouse
Cloud-based AI agents are powerful — but they can't touch your desktop. They can't open your browser, interact with local files, or click buttons in your design tools. CleroConnector changes that. It's an open-source native MacOS application that gives Clero agents secure, controlled access to your local machine.
H2: What Is CleroConnector?
CleroConnector is a lightweight, open-source (MIT license) application written in Go. It runs natively on MacOS and exposes a local API that Clero agents can call to perform desktop-level actions:
- Browser control: Open URLs, navigate pages, click elements, fill forms, take screenshots
- File system access: Read, write, and organize local files and folders
- Application interaction: Trigger actions in native MacOS applications
- Secure sandbox: All actions are scoped and permissioned — agents only access what you allow
H2: Why Open Source Matters
CleroConnector is fully open source. The code is public, auditable, and forkable. This matters for three reasons:
- Security: Anyone can inspect the code to verify there are no backdoors or unexpected behaviors. Enterprise security teams can run their own audits.
- Extensibility: The community can extend CleroConnector with new capabilities, integrations, and platform support (Windows/Linux ports are welcome).
- No vendor lock-in: Even if you stop using Clero, CleroConnector remains yours — a standalone tool you can integrate with any AI platform via its local API.
H2: How CleroConnector Works With Clero Agents
When you build an AI automation in Clero, the agent runs in the cloud — accessing APIs, scraping websites, generating text. But for tasks that require local execution, you enable CleroConnector:
1. CleroConnector runs on your MacBook (idle, ~15MB RAM)
2. Clero agent sends a task via the local API
3. CleroConnector executes: opens Chrome, logs into a dashboard, captures data
4. Results flow back to your Clero agent for further processingThis hybrid cloud + local architecture is unique in the AI agent space. It combines the power of cloud-hosted LLMs with the flexibility of desktop-native automation.
H2: Real-World Use Cases
- Legacy tool automation: Extract reports from an on-premise ERP that has no API, using browser automation
- Design workflows: Automate screenshot capture, image processing, and file export from local design tools
- Local development: Trigger local builds, run tests, and deploy from a Clero agent that watches your GitHub repo
H2: Get CleroConnector
CleroConnector is free, open source, and available now. It works standalone or paired with Clero's multi-model AI platform for maximum capability.
Start free — $3 AI credit included →
GitHub: github.com/clero-so/cleroconnector