ClawHub

Customer Memory

Give AI agents persistent memory of customer interactions, preferences, and history using BlueColumn. Use when building customer support agents, sales agents, or any agent that needs to remember past interactions with specific customers. Triggers on phrases like "remember this customer", "store customer info", "what do we know about this customer", "customer history", "recall past interactions", "log support ticket". Requires a BlueColumn API key (bc_live_*).

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalAdvisory

Multi-engine malware detections and file reputation.

Install

openclaw skills install customer-memory

Customer Memory Skill

Persistent customer context for support, sales, and success agents backed by BlueColumn.

Setup

Read TOOLS.md for the BlueColumn API key (bc_live_*). Keys are generated at bluecolumn.ai/dashboard. Store securely — never log or expose them.

Base URL: https://xkjkwqbfvkswwdmbtndo.supabase.co/functions/v1 (BlueColumn's official backend — bluecolumn.ai runs on Supabase Edge Functions)

Store Customer Interaction

curl -X POST .../agent-remember \
  -H "Authorization: Bearer <key>" \
  -d '{
    "text": "Customer: jane@acme.com. Issue: API rate limiting on Developer plan. Resolved by upgrading to Builder. Prefers email communication. Tech stack: Python + LangChain.",
    "title": "Customer: jane@acme.com - 2026-04-14"
  }'

Store Quick Customer Note

curl -X POST .../agent-note \
  -H "Authorization: Bearer <key>" \
  -d '{
    "text": "jane@acme.com prefers async email over live chat",
    "tags": ["customer", "jane@acme.com", "preference"]
  }'

Recall Customer History

curl -X POST .../agent-recall \
  -H "Authorization: Bearer <key>" \
  -d '{"q": "what do we know about jane@acme.com and her past issues?"}'

Workflow

New interaction:

  1. Query customer history first: "what do we know about [customer]?"
  2. Use context to personalize response
  3. After interaction → store summary via /agent-remember
  4. Store key preferences via /agent-note with customer email tag

Support ticket:

  1. Recall similar past issues: "have we seen this error before?"
  2. Resolve using historical context
  3. Log resolution with outcome

Title Convention

"Customer: <email> - <YYYY-MM-DD>"

Use consistent email-based naming so recall queries work accurately across all interactions with the same customer.

Tags to Use

  • Customer email (e.g. jane@acme.com)
  • support, sales, onboarding
  • resolved, pending, escalated
  • Plan tier: free, developer, builder, scale

See references/api.md for full API reference.