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Agent Intelligence Context Pack

A populated public context/data pack for the Agent Intelligence Economy framework.

The engine repo provides the operating system: skills, templates, verification, tokenomics, and loop doctrine. This repo is the oil: a source-grounded starter vault with enough historical, market, AI, and cross-disciplinary context for a friend's Hermes to start reasoning intelligently instead of staring at blank folders.

Companion engine repo: https://github.com/w3rdist-creator/agent-intelligence-economy

What is included

  • A populated Obsidian-style vault under vault/.
  • Deep Timeline event notes with public source pointers.
  • Market research data and regime notes, including S&P 500 annual history and cross-asset annual history where available.
  • AI evolution source notes and event notes.
  • Cross-disciplinary mechanisms, bridge notes, questions, non-connections, and feedback prompts.
  • Source-quality and research guardrails.
  • Refresh scripts for public market data and Wikipedia summaries.

What is not included

  • No private chats, personal finance, private project notes, credentials, cookies, or raw personal journals.
  • No live-trading instructions or broker/wallet execution logic.
  • No claim that starter notes are final canon. They are a populated substrate for source-grounded learning.

How to use

  1. Clone this repo.
  2. Open vault/ in Obsidian, or copy folders into a separate Obsidian vault.
  3. Clone/install the companion engine repo.
  4. Ask Hermes to use the engine skills against this populated context pack.

Suggested first prompt:

Use the Agent Intelligence Economy framework against this context pack. Start with the Dashboard, then run a capture-to-output pass over the Deep Timeline and Market Research layers. Promote only source-grounded mechanisms and record non-connections where analogies are weak.

Data caveats

  • Market data is public/unofficial and should be refreshed/verified before serious research.
  • S&P 500 index levels are price index data, not total return unless a total-return source is explicitly added.
  • Wikipedia-derived source summaries are orientation scaffolds, not primary sources.
  • Historical analogies are hypotheses, not forecasts.

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Populated public context/data vault for the Agent Intelligence Economy: history, markets, AI evolution, mechanisms, and source scaffolds.

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