Your Own AI Agent Running Locally on Mac Studio

OpenClaw is an open-source AI agent orchestration framework with over 185,000 GitHub stars. It connects to any LLM (GPT-4, Claude, Llama, Mistral) and lets you build autonomous AI agents that perform real tasks — answering customer questions, automating workflows, researching topics, managing sales pipelines, and more. It runs locally on your Mac Studio for maximum privacy and zero API costs.

Mac Studio with Apple Silicon (M2 Ultra/M4 Max) provides the most powerful local AI inference available. Running locally means your data never leaves your office, you pay zero ongoing API fees, and you get sub-second response times. The unified memory architecture lets you run 70B+ parameter models that would require expensive cloud GPU instances.

OpenClaw is highly versatile. Common use cases include customer support automation, sales lead qualification, research and content generation, document analysis, workflow automation, appointment scheduling, internal knowledge base Q&A, code review, data entry, and email triage. With 100+ built-in AgentSkills and 3,000+ community skills, it can be configured for virtually any task.

Not after our setup. We handle all the technical configuration — installing dependencies, setting up the LLM backend, configuring channels, training the agent, and creating documentation. You interact with your agent through familiar interfaces like Slack, WhatsApp, or a web chat widget. We also provide training so your team can manage and update the agent independently.

Standard setup takes 5 business days. This includes installation, LLM configuration, channel setup, custom training with your data, testing, and handover. Enterprise setups with multiple channels, custom integrations, and advanced security typically take 7-10 business days.

Yes. OpenClaw supports both local and cloud LLMs. We can configure it to use GPT-4, Claude, or any API-based model alongside local inference. Many clients use a hybrid approach — local models for routine tasks (zero cost) and cloud models for complex reasoning (pay-per-use). We set up the routing logic so the right model handles the right task.