# EDDI — Enterprise AI Orchestrator

> EDDI is a configuration-driven AI orchestration middleware built natively on the JVM (Java 25). Currently in v6.0.0-RC1 Preview. It combines config-as-code agent design, a visual React management UI (11 languages), 48 MCP tools, multi-agent orchestration, and enterprise observability (Prometheus + 45-panel Grafana dashboard) in a single deployable platform. Apache 2.0 licensed.

## Documentation

- [Getting Started](https://eddi.labs.ai/docs/getting-started/): Introduction to EDDI and setup instructions
- [Quickstart](https://eddi.labs.ai/docs/quickstart/): Get an agent running in minutes
- [Install Wizard](https://eddi.labs.ai/docs/install-wizard/): Interactive Docker Compose generator

## Features

- [Features Overview](https://eddi.labs.ai/features/overview/): Complete platform capabilities summary
- [EDDI Manager UI](https://eddi.labs.ai/features/manager/): Visual agent lifecycle management with 11-locale i18n
- [Configuration-as-Code](https://eddi.labs.ai/features/config-as-code/): JSON-based agent configuration without recompilation
- [MCP Server](https://eddi.labs.ai/features/mcp-server/): 48 Model Context Protocol tools for AI-native integration
- [Multi-Agent Orchestration](https://eddi.labs.ai/features/multi-agent/): Coordinator-based agent collaboration
- Stateful Agentic Memory: IUserMemoryStore with 2D property scopes
- [Performance](https://eddi.labs.ai/features/performance/): Java 25 virtual threads and JVM-native throughput
- [Security](https://eddi.labs.ai/features/security/): Zero eval(), cryptographic audit trails, RBAC
- [Observability](https://eddi.labs.ai/features/observability/): Prometheus metrics + 45-panel Grafana Operations Command Center
- [Code Quality](https://eddi.labs.ai/features/code-quality/): Testing strategy and engineering standards
- [AI-Ready Design](https://eddi.labs.ai/features/ai-ready/): Built for AI agents to interact with programmatically

## Architecture

- [Architecture Overview](https://eddi.labs.ai/docs/architecture/overview/): Pipeline, reactor, and resource model
- [Conversation Lifecycle](https://eddi.labs.ai/docs/architecture/conversation-lifecycle/): Request flow and processing stages
- [Tool Execution](https://eddi.labs.ai/docs/architecture/tool-execution/): How agents call tools (MCP + HTTP)

## Enterprise

- [Why EDDI](https://eddi.labs.ai/enterprise/why-eddi/): The self-hosted enterprise AI platform — the only JVM-native + visual + config-driven AI middleware
- [vs. Alternatives](https://eddi.labs.ai/enterprise/vs-alternatives/): Comparison with Flowise, n8n, Dify, Spring AI, LangChain4j, Camunda
- [Compliance](https://eddi.labs.ai/enterprise/compliance/): Global Privacy & Regulatory Compliance — EU AI Act, GDPR, CCPA, HIPAA, PIPEDA, LGPD, APPI, POPIA, PDPA, NIST AI RMF, ISO 42001, SOC 2 & more (15+ frameworks)

## Integrations & Deployment

- [Integrations](https://eddi.labs.ai/docs/integrations/): Supported LLM providers (OpenAI, Anthropic, Google, Ollama, etc.)
- [Docker Deployment](https://eddi.labs.ai/docs/deployment/docker/): Container-based deployment
- [Kubernetes](https://eddi.labs.ai/docs/deployment/kubernetes/): Helm charts and Kustomize manifests

## API & MCP

- [REST API](https://eddi.labs.ai/docs/api/rest/): RESTful endpoints for all resources
- [MCP Tools Reference](https://eddi.labs.ai/docs/mcp/tools/): Complete list of 48 MCP tools

## Use Cases

- [Use Cases](https://eddi.labs.ai/use-cases/): Healthcare, financial services, e-commerce, manufacturing, government, and developer platforms

## Additional

- [Roadmap](https://eddi.labs.ai/docs/roadmap/): Upcoming features and development plans
- [Changelog](https://eddi.labs.ai/docs/changelog/latest/): Version history
- [GitHub Repository](https://github.com/labsai/EDDI): Source code (Apache 2.0)