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deepadata-dev/README.md

Jason Harvey

Founder of DeepaData — building the significance layer for AI memory.

Most AI memory captures what was said. EDM captures what mattered — encoded at capture time, before retrieval ever happens.

When a query asks "when was I happiest?" or "why do I resist change?", no retrieval channel can answer it from raw text. The answer was never there. It lives in significance fields encoded at capture.

Building:

Active orgs: @deepadata · @emotional-data-model

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  1. emotional-data-model/edm-spec emotional-data-model/edm-spec Public

    Emotional Data Model (EDM) — open specification for governed emotional data representation

    JavaScript 2

  2. deepadata/deepadata-edm-mcp-server deepadata/deepadata-edm-mcp-server Public

    The significance layer for AI memory — as an MCP server. Eight tools: extract, seal, activate, wiki.

    TypeScript

  3. emotional-data-model/ddna-tools emotional-data-model/ddna-tools Public

    Reference implementation for creating and verifying .ddna envelopes. Open source CLI and SDK for sealing EDM artifacts with W3C Data Integrity Proofs (eddsa-jcs-2022). Implements the EDM open speci…

    TypeScript