The tool supports two deployment models: a lightweight CLI model that requires only 15MB of RAM to start, suitable for rapid prototyping and personal projects; and an enterprise model that supports complex features such as Kubernetes migration and performance monitoring. Both modes integrate with SQLite databases and have a measured performance of 396,610 operations/second. Developers can install globally via npm@clduab11/gemini-flowpackage for a quick experience, or enable deep IDE integration with VSCode extensions for enhanced features such as code completion and test generation.
This answer comes from the articleGemini-Flow: AI Code Development and System Optimization Tool for Multi-Intelligence CollaborationThe
May not be reproduced without permission:AI productivity tools " Gemini-Flow Offers Lightweight and Enterprise Dual Operating Modes
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