┌─────────────────────────────────────────────┐
│  Your Question                              │
│  "What did we decide about API rate limit?" │
└──────────────────┬──────────────────────────┘
                   │
┌──────────────────▼──────────────────────────┐
│  Palimpsest Memory Platform               │
│  ┌──────────┐ ┌──────────┐ ┌──────────┐   │
│  │ Semantic │ │ Keyword  │ │  Graph   │   │
│  │ Search   │ │ Search   │ │ Search   │   │
│  │(pgvector)│ │(tsvector)│ │(wikilinks│   │
│  └────┬─────┘ └────┬─────┘ └────┬─────┘   │
│       └────────────┬────────────┘          │
│                    │                       │
│            ┌───────▼────────┐             │
│            │ RRF Merge      │             │
│            └───────┬────────┘             │
│                    │                       │
│  ┌─────────────────▼────────────────────┐ │
│  │ Markdown Vault (source of truth)     │ │
│  │ ~/Palimpsest/vault/*.md             │ │
│  └─────────────────────────────────────┘ │
└─────────────────────────────────────────────┘

# Clone the platform
git clone https://github.com/M4F-S/palimpsest
cd palimpsest

# Install (SQLite works out of the box)
pip install -e ".[dev]"

# Or with PostgreSQL + pgvector for production:
docker run -d --name palimpsest-pg -p 15432:5432 \
  -e POSTGRES_USER=palimpsest \
  -e POSTGRES_PASSWORD=palimpsest_secret \
  -e POSTGRES_DB=palimpsest \
  ankane/pgvector:latest

from palimpsest import UnifiedMemorySystem

memory = UnifiedMemorySystem()

# Save a memory
memory.remember(
    title="API Rate Limit Decision",
    content="100 req/min with burst to 200. Alert if p95 > 200ms.",
    tags=["api", "decision"],
    salience=0.9
)

# Search by meaning
results = memory.recall("rate limiting policy", mode="hybrid", top_k=5)

# Schedule a reminder
memory.remind_me("Review API metrics", "2026-07-07T09:00:00", recurring="weekly")

# Run nightly maintenance
memory.consolidate()