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Gregor Jarischleft a comment
Why version 6 was built AI agents outgrew prototyping. They're running in customer support, compliance workflows, healthcare, internal ops. Places where "it mostly works" isn't good enough. But the tooling hasn't caught up. Most frameworks still assume someone will wire everything together in Python, deploy it by hand, and hope the LLM behaves in production. EDDI v6 was built around one...
EDDI v6Config-driven multi-agent AI. Compliance-ready, open source
EDDI v6 is a config-driven multi-agent AI engine. Define agent behavior in JSON, not code. One-command install, running in under 2 minutes. 12 LLM providers (OpenAI to Ollama). MCP server (42 tools) + client. A2A protocol. Persistent memory. Group debates with 5 styles. Model cascading with cost caps. GDPR, HIPAA, EU AI Act compliance built in. Encrypted vault, SSRF protection, zero code execution. Single Docker image. Open source, Apache 2.0.
EDDI v6Config-driven multi-agent AI. Compliance-ready, open source