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EDDI – Multi-agent AI engine where agent logic lives in JSON, not code

  • Hacker News

I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what the AI does in production?" My answer was: agent logic belo...

  • Published: Apr 16, 2026
  • First seen: Apr 16, 2026
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AI Summary

I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what the AI does in production?" My answer was: agent logic belo...

Best for

Teams evaluating AI product workflows / Builders comparing emerging tools / Operators tracking early category shifts

Why it matters

Primary discovery source is Hacker News.

Key Features

  • Primary public product URL is https://github.com/labsai/EDDI.
  • Description: I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what....
  • GitHub repository is linked as labsai/eddi.
  • Listed on Hacker News as "EDDI – Multi-agent AI engine where agent logic lives in JSON, not code".
  • Source description: I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what....

Use Cases

  • Primary discovery source is Hacker News.
  • A public GitHub repo is available for direct technical review.
  • Hacker News mention is recent (2026-04-16).
  • Primary public product URL is https://github.com/labsai/EDDI.
  • Description: I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what....

Why Now

EDDI – Multi-agent AI engine where agent logic lives in JSON, not code is appearing on fresh discovery surfaces, so it is worth reviewing while momentum is still forming. Confidence is currently medium (49/100), so treat this as an early signal rather than a settled trend.

Community Signals

Trend score

59.4

24h momentum

Rising

Hacker News points

2

Rising

Facts / Signals / Inference / Unknowns

Facts

  • Listed on Hacker News as "EDDI – Multi-agent AI engine where agent logic lives in JSON, not code".
  • Source description: I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what....
  • Source publish date is 2026-04-16.
  • Description: I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what....
  • GitHub repository is linked as labsai/eddi.
  • Primary public product URL is https://github.com/labsai/EDDI.

Signals

  • Hacker News mention is recent (2026-04-16).
  • A public GitHub repo is available for direct technical review.
  • Primary discovery source is Hacker News.

Inference

  • Public code access can lower evaluation friction for developer audiences.

Unknowns

  • Documentation is not explicitly linked in the current allowed evidence set.
  • No tagline is stored on the current product record.
  • Pricing details are not explicitly linked in the current allowed evidence set.
  • Recent changelog or release history is not explicitly linked in the current allowed evidence set.
  • Release cadence cannot be confirmed unless a changelog or release link is explicitly provided.

Evidence Snapshots

EDDI – Multi-agent AI engine where agent logic lives in JSON, not code

Listed on Hacker News as "EDDI – Multi-agent AI engine where agent logic lives in JSON, not code".

EDDI – Multi-agent AI engine where agent logic lives in JSON, not code GitHub repository

GitHub repository is linked as labsai/eddi.

EDDI – Multi-agent AI engine where agent logic lives in JSON, not code official profile

Primary public product URL is https://github.com/labsai/EDDI.

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Original Sources

Hacker News