System Architecture: Athena Memory Core

1. Problem Definition

Human Memory Fault Tolerance: Low.

Biological memory is lossy, context-dependent, and prone to "narrative drifted" (rewriting history to fit ego). This results in:

Looping Errors: Repeating mistakes despite "knowing" better.
Insight Decay: Losing 90% of read/thought material within 48h.
Dissonance Masking: Ignoring data that conflicts with self-image.

2. System Topology

The solution is an externalized "Evidence Store" that decouples memory from ego.

Bionic OS Memory Core Schematic — Architecture: Raw Experience → Vector Store → Semantic Retrieval.

3. Core Protocols

Protocol A: The Evidence Log

Constraint: No "Diary entries". Only structured data.


Entry Schema:
  - Timestamp: ISO-8601
  - Event: "Prioritised Deep Work"
  - Evidence: "Checked email at 08:05 AM (Log #442)"
  - Status: Dissonance Detected 🛑

Outcome: The system flagged a mismatch between intent and reality. It forced an acknowledgment of the failure pattern.

Protocol B: Decision Sparring

Trigger: Before any High-Stakes Conversation (> $1k value or relationship critical).

The Query: SELECT * FROM memories WHERE person = 'Target' AND type = 'Commitment'

Result: Surfaces broken promises or forgotten context *before* the call starts.

4. Curation Heuristics

To prevent "Data Swamp" conditions, the ingestion pipeline applies rigid filters:

flowchart LR A[New Insight] --> B(Is it Actionable?) B -->|No| C[Discard / Trash] B -->|Yes| D(Is it Novel?) D -->|No| E[Increment Weight of Existing Node] D -->|Yes| F[Commit to Permanent Store]

⚠️ System Warning: Hallucination Mitigation

Risk: LLM Confabulation.

Mitigation: Strict Citation Requirement. The RAG pipeline must return the source_file_id for every claim. If source_file_id == null, the insight is discarded as noise.

Athena Memory Core: Architecture Spec