loci — Structured Memory for AI Agents

GitHub: https://github.com/bayhax/loci | ClawHub: clawhub install loci

Quick Start

LOCI="node <skill_dir>/scripts/loci.mjs"

# Initialize palace (first time only)
$LOCI init

# Store a memory
$LOCI store work "Switched to Claude Opus model per user preference" --tag model --tag preference

# Recall memories
$LOCI recall "what model does the user prefer"

# Walk through palace (do this during heartbeats)
$LOCI walk

# See overview
$LOCI status

Core Concepts

Domains — Categories that organize memories (like rooms). Each has a capacity limit.

Default domains: work, knowledge, people, tools, preferences, archive.

Memories — Individual pieces of context stored in a domain. Each has:

• Unique ID (e.g. e3a7f2c1)
• Content text
• Tags for categorization
• Links to related memories
• Weight that decays over time

Decay — Memories lose weight exponentially based on time since last access.

Formula: weight = base_weight × e^(-decay_rate × days_since_access)

Default decay rate: 0.05 (half-life ≈ 14 days).

Links — Bidirectional connections between related memories across any domain.

Commands

Integration with Heartbeats

During heartbeat walks, run:

$LOCI walk --decay 0.05

This reports domain health, identifies fading memories, and updates the walk timestamp.

Periodically follow with $LOCI prune --dry-run to review candidates for removal.

When to Store vs. When to Skip

Store: Decisions, user preferences, environment quirks, lessons learned, important people/relationships, recurring patterns.

Skip: Transient task details, one-off commands, things already in daily memory files.

Rule of thumb: If future-you would benefit from knowing this in 2 weeks, store it.

Palace File

Default location: ~/.openclaw/workspace/loci_palace.json

Override with --palace PATH on any command.

Format: JSON. Zero external dependencies — only requires Node.js (ships with OpenClaw).