MemCell

​

Anatomy of a MemCell

​

From Raw Logs to MemCells

1. Segmentation: The system detects boundaries in the conversation (e.g., a topic change or a significant time gap).
2. Extraction: An LLM parses the segment to extract the narrative ($E$) and facts ($\mathcal{A}$).
3. Packaging: All components are wrapped into a MemCell and assigned a unique ID.

{
  "memcell_id": "mc_123456789",
  "episode": "The user discussed plans for the Q3 marketing campaign, emphasizing a focus on social media channels.",
  "atomic_facts": [
    "User role is Marketing Manager",
    "Q3 campaign focus is Social Media",
    "Budget approval needed by Friday"
  ],
  "metadata": {
    "created_at": "2023-10-09T14:30:00Z",
    "source": "slack_integration"
  }
}

​

The “Engram” of AI

• Retrievable: By semantic vector or specific fact.
• Understandable: Self-contained and context-aware.