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A locally deployable AI orchestration platform compatible with multiple LLM providers and Agent frameworks, offering features such as visual workflow building, knowledge base RAG, multi-agent orchestration, etc., specifically designed for data sovereignty and edge computing scenarios
Section 01
Dryade is a self-hosted AI orchestration platform designed to address data privacy risks, vendor lock-in, and network dependency issues of cloud-based AI services. It supports local LLM deployment, multi-agent orchestration, RAG, visual workflow building, and edge hardware integration, empowering users to retain data sovereignty while leveraging AI capabilities.
Section 02
Most AI applications rely on cloud services, leading to three core issues:
Section 03
Key features include:
Section 04
Architecture: Frontend (React/TypeScript), Backend (FastAPI), Orchestrator (ReAct loop), Tool Router (semantic+regex), LLM providers Agent adapters: MCP, CrewAI, ADK, LangChain, A2A Edge support: Optimized for NVIDIA Jetson (edge AI), DGX Spark (desktop AI), general GPU servers. Use cases: industrial sites, military/government, remote facilities, mobile platforms.
Section 05
Deployment methods:
Section 06
Dryade's key differentiators (vs Dify, n8n, Langflow):
Section 07
License: Dryade Source Use License (DSUL) — core features open-source free; enterprise features under separate terms Community: Discord, GitHub Discussions, contribution guides, examples, official docs (dryade.ai/docs) Conclusion: Dryade aligns with trends toward edge-distributed AI, data sovereignty, and transparent control. It's ideal for users prioritizing privacy, offline operation, or avoiding vendor lock-in.
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