# poc-memory

A persistent memory and notification system for AI assistants,
modelled after the human hippocampus. Combines episodic memory
(timestamped journal of experiences) with an associative knowledge
graph (weighted nodes connected by typed relations), and layered
background processes that maintain graph health — mirroring how
biological memory consolidates during rest.

## Components

| Component | What it does | Docs |
|-----------|-------------|------|
| **Memory store** | Knowledge graph with episodic journal, TF-IDF search, spectral embedding, weight decay | [docs/memory.md](docs/memory.md) |
| **Memory daemon** | Background pipeline: experience-mine, fact-mine, consolidation | [docs/daemon.md](docs/daemon.md) |
| **Notification daemon** | Activity-aware message routing from IRC and Telegram | [docs/notifications.md](docs/notifications.md) |
| **Hooks** | Claude Code integration: memory recall and notification delivery | [docs/hooks.md](docs/hooks.md) |

## Quick start

```bash
cargo install --path .    # Builds: poc-memory, memory-search, poc-daemon, poc-hook
poc-memory init           # Initialize the store
poc-memory daemon install # Install systemd service + hooks
```

## For AI assistants

- **Search before creating**: `poc-memory search` before writing new nodes
- **Close the feedback loop**: `poc-memory used KEY` / `poc-memory wrong KEY`
- **Journal is the river, topic nodes are the delta**: write experiences to the journal, pull themes into topic nodes during consolidation
- **Notifications flow automatically**: IRC/Telegram messages arrive as additionalContext
- **Use daemon commands directly**: `poc-daemon irc send #channel msg`, `poc-daemon telegram send msg`