Local OPENCLAW AI System Development for Windows PC EASY JOB

Project Request: DOWNLOAD AND ADAPT Standalone Local AI System (PC Version of OPENCLAW Apple Mini AI Setup) EASY $20 FIRM I’m looking for a developer to DOWNLOAD AND REFINE OPENCLAW TO WORK SEEMLESSLY ON MY WINDOWS PC(NOT AN APPLE), standalone local AI system for my Windows PC that functions similarly to the AI capabilities that come pre-installed on the latest Apple Mac Mini "AKA OPENCLAW"(with built-in AI tools). Core Requirements: Fully local AI (runs entirely on my PC — no cloud dependency) No ongoing costs (no subscriptions, API fees, or paid memory usage) Plug-and-play setup (simple installation and easy to launch/use) Clean, minimal interface (does not need to be fancy, just functional) Functionality Needed: Natural language interaction (chat-style interface) Ability to analyze text, data, and documents Assist with trading-related workflows and analysis Capable of running locally stored models (LLMs) Basic automation or scripting support is a plus Performance Expectations: Optimized for local hardware (GPU usage preferred if available) Reasonable speed and responsiveness Stable and reliable for daily use Integration Goals: I primarily use Quantower for trading, so the AI should be able to: Help analyze market data (manually input or pasted) Assist with trade ideas, summaries, and strategy insights Ability to connect or interact with Quantower tools via. As Much Access As possible. Technical Preferences (Flexible): Open-source models preferred (e.g., LLaMA-based or similar) Local model management (download, load, switch models if needed) Simple installer or packaged environment (Docker, executable, or similar) What I Do NOT Want: Cloud-based AI systems Anything requiring subscriptions or token-based billing Overly complex setup or maintenance End Goal: A local AI assistant on my PC that behaves similarly to the built-in AI experience on newer Apple systems — but fully offline, customizable, and optimized for trading and analysis tasks. Please include: Recommended tech stack Estimated setup process Hardware requirements Timeline and cost estimate Keep the solution simple, efficient, and user-friendly.

Project ID: 40415878