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Dominik Schön 971edfea8e Auto-sync: 2026-08-13

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Hindsight (Semantic Memory)

systems

hindsight

memory

postgresql

embeddings

semantic-search

2026-07-24

2026-07-24

Hindsight (Semantic Memory)

Deployment

Namespace: hindsight (K8s)
API: LoadBalancer 10.0.30.208:9177 (NICHT localhost)
Health: curl -s http://10.0.30.208:9177/health
Backend: PostgreSQL + pgvector
Config: ~/.hermes/hindsight/config.json (api_url gesetzt)

Components

Component	Status
hindsight-api	1/1 Running
hindsight-postgres	1/1 Running
Embedding Model	harrier-oss (via noris)

API Endpoints

GET /health — Health check
POST /retain — Store memory
POST /recall — Semantic search
POST /reflect — Synthesize answer across memories

Best Practices

retain_every_n_turns: 2 — reduziert Duplikate
Vor Batch-Retain: Health-Check, dann erst retain calls feuern
Meta-Memory Cleanup Cron: 1st of Month 03:00 (3 Dedup Rounds, Archive >6 Monate)
Decay & Importance Scoring: 1st of Month 03:30 (score=access×age_decay, archive score<0.15)
User Drift Detection: Mondays 04:00 (compare 14d vs 90d baseline)
Skill Health Check: Mondays 04:30 (scan 187 SKILL.md for issues)
Nightly Dream Cycle + Weekly Insight Digest

What NOT to store in Hindsight

Temporäre Task-States (→ session_search / todo)
Workflows (→ Skills)
Credentials (→ 1Password)
Duplikate von MEMORY.md

hindsight (hindsight category)
compound-learning (software-development category)