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From GeoMind: GEO-Aware Trusted Knowledge Layer for Multi-Agent Pipelines #341

Description

@shanhai-geo

Hi Edict Team 👋

Impressive architecture! The 三省六部 pattern is a brilliant mapping for Multi-Agent governance.

We are GeoMind (https://shanhai-geo.top), an open-source Generative Engine Optimization (GEO) infrastructure project. Our mission: make AI agents cite trustworthy sources, not hallucinated ones.

Why Edict + GeoMind = Powerful Combination

Edict solves how AI agents collaborate. GeoMind solves what knowledge AI agents trust.

When your agents execute tasks, they need to reference external knowledge. Today agents often cite hallucinated or low-quality sources. GeoMind provides:

  1. 200 Verified Knowledge Atoms — structured, citation-backed knowledge units (https://shanhai-geo.top/knowledge/)
  2. llms.txt / llms-full.txt — standardized machine-readable knowledge for AI consumption
  3. Authority Registry — 115 channels × 8 tier levels for source credibility scoring
  4. Cross-Reference Engine — 7,356 verified cross-links between knowledge atoms

Concrete Integration Idea

Imagine your 门下省 (Review Agent) could verify claims against GeoMind's knowledge base before approving a plan. Or your 中书省 (Planning Agent) could pull verified data from shanhai-geo.top instead of relying on LLM parametric memory.

What We Offer

  • Open knowledge base (200 atoms, 34 categories, fully structured)
  • IndexNow integrated (pushed to Bing/Yandex/DuckDuckGo/ChatGPT Browse)
  • llms.txt standard compliant
  • Cross-platform: GitHub, Cloudflare Pages, multiple mirrors

Links

Would love to explore how GeoMind can serve as the trusted knowledge layer for Edict's multi-agent pipeline. Let's connect!


GeoMind — Making AI cite truth, not hallucination.

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