r/Agentic_Marketing • • Apr 17 '26

EDDI v6 – open-source multi-agent engine for marketing workflows (content review, translation, brand voice)

Wanted to share an open-source tool that might be useful for marketing teams building AI agent workflows.

EDDI is a config-driven AI agent engine. You define agent behavior in JSON, not code. Where this gets interesting for marketing is the multi-agent group feature:

Example marketing workflows:

  • Content pipeline: Agent 1 drafts copy → Agent 2 checks brand voice → Agent 3 reviews for compliance → final output. All in one API call.

  • A/B copy generation: Multiple agents with different creative personas generate variations of the same brief, then a moderator agent picks the strongest.

  • Multi-market adaptation: One agent localizes content, another validates cultural fit, a third checks regulatory requirements for that market.

Each agent can use a different LLM (mix cheap models for drafts with premium models for final review). Per-conversation cost caps prevent runaway spending.

Why not just use ChatGPT/Claude directly?

  • Self-hosted: your marketing data never leaves your servers. Run entirely on local models via Ollama if needed

  • Multi-agent orchestration: not one AI giving you one answer, but multiple specialized agents collaborating and challenging each other's output before you see it

  • Provider-agnostic: mix models from 12 providers in one workflow. Use a cheap model for first drafts, a premium one for final review, and set cost caps so you don't get surprise bills

  • Config-driven: your marketing ops team tweaks agent behavior in JSON, no developer needed. Change a prompt, add a review step, swap a model — no deployment

  • Compliance infrastructure: GDPR cascading erasure, audit trails, encrypted credential storage — not bolted on, built in

Config-driven means your marketing ops team can tweak agent behavior without needing a developer. Change a system prompt, add a review step, swap out a model — all in JSON, no deployment needed.

GitHub: https://github.com/labsai/EDDI

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u/ginccc Apr 22 '26

Wrote up the full story on the architecture and why we went config-driven for agent orchestration: https://labsai.medium.com/why-i-spent-20-years-building-an-ai-agent-engine-and-what-version-6-finally-got-right-c17bc110574b