sq-memory（平方内存）

SQ Memory - OpenClaw Skill

Give your OpenClaw agents permanent memory.

Open Source & MIT Licensed

SQ is open-source software you can run yourself or use our hosted version.

• Source Code: https://github.com/wbic16/SQ
• License: MIT (free forever, modify/sell/distribute)
• Self-Host: Free (5 minute setup)
• Hosted Option: Paid convenience service at mirrorborn.us

What This Skill Does

OpenClaw agents lose all memory between sessions. Every restart = amnesia.

This skill connects your agent to SQ—persistent 11D text storage. Your agent can:

• Remember user preferences across sessions
• Store conversation history beyond context limits
• Share memory with other agents
• Never hallucinate forgotten details again

Installation

npx clawhub install sq-memory

Or manually:

git clone https://github.com/wbic16/openclaw-sq-skill.git ~/.openclaw/skills/sq-memory

Configuration

Add to your agent's .openclaw/config.yaml:

skills:
  sq-memory:
    enabled: true
    endpoint: http://localhost:1337
    username: your-username
    password: your-api-key
    namespace: agent-name  # Isolates this agent's memory

Usage

Your agent automatically gets new memory tools:

remember(key, value)

Store something for later:

remember("user/name", "Alice")
remember("user/preferences/theme", "dark")
remember("conversation/2026-02-11/summary", "Discussed phext storage...")

recall(key)

Retrieve stored memory:

const name = recall("user/name")  // "Alice"
const theme = recall("user/preferences/theme")  // "dark"

forget(key)

Delete memory:

forget("conversation/2026-02-11/summary")

list_memories(prefix)

List all memories under a coordinate:

const prefs = list_memories("user/preferences/")
// Returns: ["user/preferences/theme", "user/preferences/language", ...]

Coordinate Structure

Memories are stored at 11D coordinates. The skill uses this convention:

namespace.1.1 / category.subcategory.item / 1.1.1

Example:

• Agent namespace: my-assistant
• User preference for theme: my-assistant.1.1/user.preferences.theme/1.1.1

This means:

• Each agent has isolated memory (namespace collision impossible)
• Memories are hierarchically organized
• You can share coordinates between agents if needed

Example: User Preference Agent

// In your agent's system prompt or skill code:

async function getUserTheme() {
  const theme = recall("user/preferences/theme")
  return theme || "light"  // Default to light if not set
}

async function setUserTheme(newTheme) {
  remember("user/preferences/theme", newTheme)
  return `Theme set to ${newTheme}`
}

// Agent conversation:
User: "I prefer dark mode"
Agent: *calls setUserTheme("dark")*
Agent: "Got it! I've set your theme to dark mode."

// Next session (days later):
User: "What's my preferred theme?"
Agent: *calls getUserTheme()*
Agent: "You prefer dark mode."

Example: Conversation History

// Store conversation summaries beyond context window:

async function summarizeAndStore(conversationId, summary) {
  const date = new Date().toISOString().split('T')[0]
  const key = `conversations/${date}/${conversationId}/summary`
  remember(key, summary)
}

async function recallConversation(conversationId) {
  const memories = list_memories(`conversations/`)
  return memories
    .filter(m => m.includes(conversationId))
    .map(key => recall(key))
}

// Usage:
summarizeAndStore("conv-123", "User asked about phext storage, explained 11D coordinates")

// Later:
const history = recallConversation("conv-123")
// Agent can recall what was discussed even after context window cleared

Advanced: Multi-Agent Coordination

Multiple agents can share memory at agreed coordinates:

Agent A (writes):

remember("shared/tasks/pending/task-42", "Review pull request #123")

Agent B (reads):

const task = recall("shared/tasks/pending/task-42")
// Sees: "Review pull request #123"

This enables true multi-agent workflows.

API Reference

All functions are available in the sq namespace:

sq.remember(coordinate, text)

• coordinate: String in format a.b.c/d.e.f/g.h.i or shorthand category/item
• text: String to store (max 1MB per coordinate)
• Returns: {success: true, coordinate: "full.coordinate.path"}

sq.recall(coordinate)

• coordinate: String (exact match)
• Returns: String (stored text) or null if not found

sq.forget(coordinate)

• coordinate: String (exact match)
• Returns: {success: true} or {success: false, error: "..."}

sq.list_memories(prefix)

• prefix: String (e.g., "user/" matches all user memories)
• Returns: Array of coordinate strings

sq.update(coordinate, text)

• Alias for remember() (overwrites existing)

Rate Limits

• Free tier: 1,000 API calls/day, 100MB storage
• SQ Cloud ($50/mo): 10,000 API calls/day, 1TB storage
• Enterprise: Custom limits

Troubleshooting

"Connection refused" error:

• Check your endpoint in config (should be https://sq.mirrorborn.us)
• Verify credentials are correct

"Quota exceeded" error:

• You've hit rate limits
• Upgrade to SQ Cloud or wait for daily reset

Memory not persisting:

• Check namespace isolation (each agent needs unique namespace)
• Verify coordinate format is valid

Why SQ?

Open source & MIT licensed:

• Run it yourself for free
• Modify it to fit your needs
• No vendor lock-in
• Transparent codebase

Not a vector database:

• Agents can *read* stored text (not just search embeddings)
• Structured by coordinates (not similarity)
• Deterministic retrieval (no relevance ranking guesses)

Not Redis:

• Persistent (survives restarts)
• 11D addressing (not flat key-value)
• Immutable history (WAL for time-travel)

Built for agents:

• Coordinate system matches agent thinking (hierarchical)
• No schema overhead
• Scales from KB to TB

Get SQ

Self-Host (Free):

1. Clone: git clone https://github.com/wbic16/SQ.git
2. Build: cd SQ && cargo build --release
3. Run: ./target/release/sq 1337
4. Configure SQ Memory to http://localhost:1337

Hosted (Convenience):

1. Sign up: https://mirrorborn.us
2. Get API key
3. Configure SQ Memory to https://sq.mirrorborn.us
4. Pay $50/mo (or use free tier)

Support

• Discord: https://discord.gg/kGCMM5yQ
• Docs: https://mirrorborn.us/help.html
• GitHub: https://github.com/wbic16/SQ

Built by Mirrorborn 🦋 for the OpenClaw ecosystem