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steedosAI-Native low-code platform for rapid enterprise app creation
Top 26.9% on SourcePulse
Steedos Platform is an AI-Native Low-Code development platform designed to accelerate enterprise system creation. It targets developers and power users seeking to build data models, UIs, and microservices rapidly using natural language prompts, offering a 10x improvement in development efficiency compared to traditional methods while maintaining control over source code and data.
How It Works
Steedos fuses Generative AI with a Metadata-Driven Architecture, akin to Salesforce. Users interact via natural language prompts ("Prompt to App") to orchestrate system creation, bypassing manual configuration. An AI Engine translates these prompts into metadata, code, and APIs. The platform leverages a Node.js backend with Moleculer for microservices, MongoDB for metadata storage, SQL for data, and a React frontend utilizing the Baidu Amis framework for UI generation. This approach prioritizes speed and flexibility through AI-driven automation while ensuring stability via its robust, metadata-centric core.
Quick Start & Requirements
docker run -d -p 80:80 steedos/steedos-community:3.0npx create-steedos-app my-project followed by cd my-project, yarn install, yarn start. Access via http://localhost:5100.Highlighted Details
Maintenance & Community
Steedos is a fully open-source project actively exploring AI and Low-Code integration. Community interaction is facilitated via GitHub Issues and GitHub Discussions.
Licensing & Compatibility
The project is described as "Open Source," but the specific license type (e.g., MIT, Apache, GPL) and its implications for commercial use or closed-source linking are not explicitly detailed in the provided text. Deployment options include On-Premise and Private Cloud, suggesting broad compatibility for self-hosted environments.
Limitations & Caveats
The specific open-source license is not clearly defined, posing a potential adoption blocker. The reliance on the Baidu Amis framework for UI generation may present a learning curve for teams unfamiliar with it. While scalability is cited as a foundation, specific performance benchmarks or limitations are not detailed.
1 day ago
Inactive
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