AI/ML
OpenManus System Requirements: What Hardware & Software Do You Need?
Introduction
OpenManus, an open-source AI agent framework available on GitHub since March 2025, requires specific system resources to run effectively. This document outlines its system requirements for local or cloud deployment as of March 12, 2025 based on GitHub documentation and community insights, ensuring accuracy for developers
Minimum Requirements
Hardware
- CPU: Quad-core processor (e.g., Intel i5, AMD Ryzen 5).
- RAM: 8GB (16GB recommended for multitasking).
- Storage: 20GB free space (SSD preferred).
- Internet: 10 Mbps+ for API calls and cloning.
Software
- OS: Ubuntu 20.04+, Windows 10+ (WSL2), macOS 11+.
- Python: 3.10+.
- Git: Latest version.
- UV: Optional but recommended for dependency management.
Recommended Requirements
Hardware
- CPU: 8-core processor (e.g., Intel i7, Ryzen 7).
- RAM: 32GB (for larger models or multi-agent tasks).
- Storage: 50GB+ SSD.
- GPU: Optional NVIDIA GPU (e.g., RTX 3060, 12GB VRAM) for faster inference.
Software
- Dependencies: Listed in requirements.txt (e.g., PyTorch, requests).
- APIs: OpenAI key (sk-...) or equivalent LLM access.
Minimum Requirements:
- CPU: Quad-core (i5)
- RAM: 8GB
- Storage: 20GB HDD
- GPU: None
- OS: Ubuntu 20.04+
- Python: 3.10
Recommended Requirements:
- CPU: 8-core (i7)
- RAM: 32GB
- Storage: 50GB+ SSD
- GPU: NVIDIA 12GB+
- OS: Ubuntu 22.04+
- Python: 3.10+
Setup Notes
- Installation: UV speeds up dependency resolution (uv pip install -r requirements.txt).
- Config: Edit config.toml with an API key for LLM functionality.
- Cloud: See AWS/GCP/Azure guides for scaled deployments.
Conclusion
OpenManus’s system requirements are modest for basic use (8GB RAM, quad-core CPU), making it accessible on standard laptops or VMs. For optimal performance especially with complex tasks or larger models 32GB RAM and a GPU are ideal. Developers can deploy it locally or in the cloud, leveraging GitHub’s open-source nature to experiment with AI agents affordably and effectively.
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