How to Use OpenClaw with Redis — Caching, Queues & Real-Time

Redis is one of those integrations that feels unnecessary until you actually wire it up — then you wonder how you lived without it. I use Redis-backed patterns for caching expensive LLM calls, managing job queues across sub-agents, and storing ephemeral state that doesn't belong in my workspace files.

Why Redis + OpenClaw?

OpenClaw agents naturally handle async work — cron jobs, sub-agents, long-running tasks. Redis gives you a shared memory bus between all of them. Three concrete wins:

• Response caching: Cache LLM outputs for repeated queries (saves tokens and latency)
• Task queues: Pass work between agents without file-based polling
• Rate-limit state: Track API call counts across multiple agent instances

Step 1: Install Redis or Use Upstash

For local dev:

brew install redis
brew services start redis
redis-cli ping  # Should return PONG

For production, Upstash offers a serverless Redis tier that is free for small workloads:

UPSTASH_REDIS_URL=redis://default:TOKEN@host.upstash.io:PORT

Step 2: Create a Redis Skill

Create ~/.openclaw/workspace/skills/redis/SKILL.md:

# Redis Skill
Use redis-cli to interact with Redis.

## Cache LLM Response
redis-cli SET cache:$KEY "$VALUE" EX 3600

## Read Cache
redis-cli GET cache:$KEY

## Push to Queue
redis-cli RPUSH agent:queue "$JSON_PAYLOAD"

## Pop from Queue
redis-cli LPOP agent:queue

Step 3: Add Caching Logic

In your AGENTS.md, instruct your agent to check Redis before making expensive API calls:

## Caching Rule
Before calling external APIs for data that rarely changes,
check Redis first: redis-cli GET cache:$KEY
If fresh, use cached value. Otherwise fetch and store with TTL.

Step 4: Queue-Based Sub-Agent Coordination

For multi-agent setups, Redis queues eliminate polling. Producer agent pushes work:

redis-cli RPUSH jobs:pending '{"type":"analyze","url":"https://example.com"}'

Consumer agent (via cron) pops and processes:

# In HEARTBEAT.md:
Every 5 minutes: check redis-cli LLEN jobs:pending
If > 0, pop and process each job

Step 5: Store Session State

redis-cli HSET session:USER_ID last_topic "redis integration"
redis-cli EXPIRE session:USER_ID 86400

Production Tips

• Always set TTLs — unbounded keys bloat memory
• Use namespaced keys: agent:cache:*, agent:queue:*, agent:session:*
• For Upstash free tier, stay under 10,000 commands/day
• Use redis-cli MONITOR during dev to watch all commands

The OpenClaw Playbook ($9.99) has a full chapter on stateful agent patterns — including Redis, file-based memory, and when to use which.