Winnex Maestro v2.0 — Data & AI Orchestration Platform for Legacy Enterprises
Description
Winnex Maestro v2.0 — An orchestration platform that connects legacy enterprise data to modern AI agents. JSON entity definitions generate database schemas (MariaDB), REST APIs (FastAPI), frontend interfaces (React), permission models, and multi-agent AI connectivity — all hot-reloadable without server restarts.
The platform sits between legacy systems (SAP, Protheus, custom ERPs) and AI agents (LLMs, RAG, autonomous agents), providing automatic CRUD generation, multi-tenant isolation, role-based access, and multi-provider AI routing (OpenAI, DeepSeek, DashScope, SGLang, ZAI).
Includes Docker Compose with make dev, 5 architecture documents in English, and 12 JSON entity examples.
GitHub: https://github.com/winnex-ai/winnex-maestro
BSL 1.1 | pay@winnex.ai
Files
docs_architecture_overview.md
Files
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