deepadata-mem0-adapter

EDM enrichment layer for Mem0.

Mem0 stores what was said. EDM captures the emotional context of why it mattered — as a governed, portable artifact.

Installation

npm install deepadata-mem0-adapter deepadata-edm-sdk

Usage

import { enrichWithEDM } from 'deepadata-mem0-adapter';
import MemoryClient from 'mem0ai';

const mem0 = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
const text = "Had an amazing conversation with Sarah about our startup idea. She really gets the vision and I feel so energized about what we're building together.";

// EDM enrichment (emotional context)
const { edmArtifact } = await enrichWithEDM(text, { profile: 'core' });

// Mem0 storage (unchanged — Mem0 does what Mem0 does)
await mem0.add(text, { user_id: 'user123' });

// Now you have both:
// - Mem0 memory for retrieval and personalization
// - EDM artifact for emotional governance and portability

What You Get

From the same text input, you now have:

| Mem0 | EDM | |------|-----| | Stores the memory | Captures emotional context | | Enables retrieval | Enables governance | | Platform-specific | Portable standard | | What was said | Why it mattered |

API

enrichWithEDM(text, options?)

const { edmArtifact, confidence, model, profile } = await enrichWithEDM(text, {
  // EDM profile (default: "core")
  profile: "core",  // ~20 fields, ideal for memory platforms

  // LLM provider (default: "anthropic")
  provider: "anthropic",  // or "openai" | "kimi"

  // Governance
  subjectId: "user123",
  jurisdiction: "GDPR",
  consentBasis: "consent",

  // Classification
  visibility: "private",
  piiTier: "moderate",
  tags: ["startup", "collaboration"],
});

Profiles

| Profile | Fields | Use Case | |---------|--------|----------| | core | ~20 | Memory platforms (Mem0, Zep, LangChain) | | extended | ~45 | Journaling apps, wellness tools | | full | 96 | Clinical, therapeutic applications |

For Mem0 integrations, core profile is recommended.

Why Both?

Mem0 is excellent at what it does — storing and retrieving memories for AI personalization. But enterprise customers ask:

• "What emotional data are you storing?"
• "Who owns this data?"
• "Can users export their memories?"
• "How do you handle GDPR requests?"

EDM answers these questions with a governed artifact format that includes:

• Consent basis — why you're allowed to process this
• Subject rights — portable, erasable, explainable
• Retention policy — how long, what happens on expiry
• Emotional schema — 20 fields that capture context, not just content

Environment Variables

| Variable | Description | |----------|-------------| | ANTHROPIC_API_KEY | Claude extraction (default) | | OPENAI_API_KEY | GPT extraction | | MOONSHOT_API_KEY | Kimi extraction |

Related

• deepadata-edm-sdk — Core SDK
• deepadata-ddna-tools — Signing and verification

License

MIT