Automation and trading experimentation platform built around open-source computer-use AI agents.
computer_Agent is an experimentation and integration project for AI-powered desktop and cloud automation. It is built on top of Agent S (Simular AI), an open-source, compositional generalist-specialist framework for computer-use agents, combined with:
- Perplexity_agent, a local, self-hosted search and knowledge engine based on Perplexica, integrated as a knowledge module
- Trading automation hooks for MetaTrader and custom Python trading bots
- Evaluation and setup scripts for benchmarking on OSWorld-style tasks
The underlying computer-use agent architecture, GUI grounding, and the benchmark results below (OSWorld, WindowsAgentArena, AndroidWorld) come from the Agent S research framework. Full credit goes to the Simular AI team; see their repository and papers for details. This repository's own contribution is the integration layer: wiring the agent framework to a trading and automation use case, bundling a Perplexica-based knowledge engine, and providing setup scripts for evaluation.
| Benchmark | Score | Previous SOTA at time of release |
|---|---|---|
| OSWorld (15 step) | 27.0% | 22.7% (UI-TARS) |
| OSWorld (50 step) | 34.5% | 32.6% (OpenAI CUA) |
| WindowsAgentArena | 29.8% | 19.5% (NAVI) |
| AndroidWorld | 54.3% | 46.8% (UI-TARS) |
Results as published by the Agent S2 paper; not independently reproduced in this repository. See the upstream project for the latest Agent S3 results, which surpass these numbers.
- Automating trading strategies and risk management workflows
- AI assistants for research, finance, and productivity, grounded with a local knowledge engine
- LLM-driven document analysis and workflow automation
- GUI and API automation for desktop and cloud environments
See the upstream Agent S installation guide for the base framework, plus the docs and scripts in this repository for the trading and knowledge-engine integrations.
ai-agents automation llm computer-use trading-bot python open-source agent-s
- Email: general.trading.bot.2025@gmail.com
- Upwork: Hire on Upwork
- GitHub: GeneralTradingSarl