labsai/EDDI helps turn isolated prompts and tools into repeatable agent workflows

Описание и применение

labsai/EDDI: open-source проект в категориях Orchestration, MCP, Knowledge/RAG, AI/ML, Backend. Практическое применение: coordinate multi-agent workflows; add tool-use pipelines. Уровень готовности: подходит для прототипа или внутреннего workflow, перед production нужна ручная проверка.

Задача

labsai/EDDI helps turn isolated prompts and tools into repeatable agent workflows.

Результат

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Рабочий процесс

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Доказательства

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Источник