- Updated: March 24, 2026
- 7 min read
Configuring OpenClaw’s Memory Layers on UBOS: A Step‑by‑Step Guide
Configuring OpenClaw’s memory layers on UBOS involves setting up short‑term, mid‑tier, and long‑term memory components using the platform’s built‑in services, environment variables, and storage adapters.
Introduction
OpenClaw is a powerful, open‑source AI orchestration engine that relies on a layered memory architecture to balance speed, cost, and persistence. When you run OpenClaw on UBOS, you gain access to a unified platform that simplifies deployment, scaling, and monitoring. This guide walks developers through the step‑by‑step process of configuring short‑term, mid‑tier, and long‑term memory on UBOS, complete with code snippets, common pitfalls, and troubleshooting tips.
By the end of this article you will be able to:
- Provision a fast in‑memory cache for immediate context (short‑term memory).
- Set up a cost‑effective vector store for semantic retrieval (mid‑tier memory).
- Configure durable blob storage for archival knowledge (long‑term memory).
- Deploy a fully functional OpenClaw instance using the OpenClaw hosting guide.
Overview of OpenClaw Memory Architecture
Short‑term Memory
Short‑term memory (STM) lives in RAM and is designed for sub‑second latency. It stores the most recent user inputs, system prompts, and transient embeddings that the LLM needs for the current conversation.
Mid‑tier Memory
Mid‑tier memory (MTM) balances speed and cost by using a vector database such as Chroma DB integration. It retains semantic embeddings for a longer horizon (hours to days) and enables similarity search across past interactions.
Long‑term Memory
Long‑term memory (LTM) persists knowledge indefinitely. Typical back‑ends include object storage (e.g., S3‑compatible buckets) or relational databases. LTM is used for policy documents, knowledge bases, and audit logs.
Prerequisites
- A running UBOS platform (v2.5+ recommended).
- Access to the UBOS partner program for API keys if you plan to use premium services.
- Docker installed on your development machine (UBOS uses containerized services).
- Basic familiarity with environment variables and YAML configuration files.
- Optional: OpenAI ChatGPT integration for LLM calls.
If you need a quick start, explore the UBOS templates for quick start that include a pre‑configured OpenClaw stack.
Setting Up Short‑term Memory on UBOS
UBOS provides a built‑in Redis service that is perfect for STM. Follow these steps to enable it for OpenClaw.
Step 1: Enable Redis in the UBOS Service Catalog
services:
redis:
image: redis:7-alpine
ports:
- "6379:6379"
restart: always
Step 2: Add STM Configuration to OpenClaw
memory:
short_term:
type: redis
host: localhost
port: 6379
ttl_seconds: 300 # 5 minutes
Common Issues & Fixes
Fix: Verify that the Redis container is running (`docker ps`) and that the port mapping matches the configuration above. If you are using a custom network, replace
localhost with the container name (e.g., redis).Fix: Ensure the
ttl_seconds field is set and that Redis is not started with the --save option that disables expiration.Configuring Mid‑tier Memory
Mid‑tier memory leverages a vector store. UBOS’s Chroma DB integration offers a fully managed, scalable solution.
Step 1: Deploy Chroma DB via UBOS
services:
chroma:
image: chromadb/chroma:latest
environment:
- CHROMA_DB_DIR=/data/chroma
volumes:
- ./chroma-data:/data/chroma
ports:
- "8000:8000"
restart: always
Step 2: Connect OpenClaw to Chroma
memory:
mid_tier:
type: chroma
endpoint: http://localhost:8000
collection_name: openclaw_embeddings
dimension: 1536
Troubleshooting Tips
Solution: Create the collection manually before starting OpenClaw:
curl -X POST http://localhost:8000/api/v1/collections \
-H "Content-Type: application/json" \
-d '{"name":"openclaw_embeddings","dimension":1536}'
Solution: Increase the RAM allocation for the Chroma container (`mem_limit: 2g`) and enable the
FAISS index backend via environment variable CHROMA_INDEX=faiss.Deploying Long‑term Memory
Long‑term memory is best served by an object store. UBOS can provision an S3‑compatible bucket using MinIO.
Step 1: Spin up MinIO
services:
minio:
image: minio/minio:latest
command: server /data
environment:
- MINIO_ROOT_USER=admin
- MINIO_ROOT_PASSWORD=SuperSecret123
ports:
- "9000:9000"
volumes:
- ./minio-data:/data
restart: always
Step 2: Configure LTM in OpenClaw
memory:
long_term:
type: s3
endpoint: http://localhost:9000
access_key: admin
secret_key: SuperSecret123
bucket: openclaw-archive
region: us-east-1
storage_class: STANDARD
Debugging Long‑term Storage
Resolution: Ensure the bucket exists and the policy grants
PutObject permission. You can create the bucket with:mc mb myminio/openclaw-archive
mc policy set public myminio/openclaw-archive
Resolution: Verify that the MinIO volume (`./minio-data`) is persisted on the host and not a temporary Docker volume.
Full Example Workflow
Below is a consolidated docker-compose.yml that brings together STM, MTM, and LTM services with OpenClaw.
version: "3.8"
services:
redis:
image: redis:7-alpine
ports:
- "6379:6379"
restart: always
chroma:
image: chromadb/chroma:latest
environment:
- CHROMA_DB_DIR=/data/chroma
volumes:
- ./chroma-data:/data/chroma
ports:
- "8000:8000"
restart: always
minio:
image: minio/minio:latest
command: server /data
environment:
- MINIO_ROOT_USER=admin
- MINIO_ROOT_PASSWORD=SuperSecret123
ports:
- "9000:9000"
volumes:
- ./minio-data:/data
restart: always
openclaw:
image: openclaw/openclaw:latest
depends_on:
- redis
- chroma
- minio
environment:
- OPENCLAW_STM_TYPE=redis
- OPENCLAW_STM_HOST=redis
- OPENCLAW_STM_PORT=6379
- OPENCLAW_STM_TTL=300
- OPENCLAW_MTM_TYPE=chroma
- OPENCLAW_MTM_ENDPOINT=http://chroma:8000
- OPENCLAW_MTM_COLLECTION=openclaw_embeddings
- OPENCLAW_MTM_DIM=1536
- OPENCLAW_LTM_TYPE=s3
- OPENCLAW_LTM_ENDPOINT=http://minio:9000
- OPENCLAW_LTM_ACCESS_KEY=admin
- OPENCLAW_LTM_SECRET_KEY=SuperSecret123
- OPENCLAW_LTM_BUCKET=openclaw-archive
ports:
- "8080:8080"
restart: always
Deploy with docker compose up -d. Once the stack is healthy, you can interact with OpenClaw via its REST API at http://localhost:8080/api/v1/. The short‑term cache will handle immediate context, the Chroma vector store will answer similarity queries, and MinIO will archive all conversation logs for compliance.
FAQ & Additional Resources
- Do I need to pay for the Redis and MinIO services?
- Both are open‑source and run free inside your UBOS environment. You only incur costs for the underlying compute resources, which you can control via the UBOS pricing plans.
- Can I replace Chroma with Pinecone or Weaviate?
- Yes. OpenClaw’s memory abstraction layer allows you to swap the vector store by updating the
typeandendpointfields. For Pinecone, see the OpenAI ChatGPT integration page for API‑key handling. - How do I secure the memory services?
- Use UBOS’s built‑in partner program to obtain TLS certificates and configure firewall rules. Additionally, set strong passwords for MinIO and enable Redis AUTH.
- Where can I find more sample templates?
- Explore the UBOS templates for quick start. For AI‑focused utilities, check out the AI SEO Analyzer or the AI Article Copywriter template.
Conclusion
Configuring OpenClaw’s memory layers on UBOS is straightforward once you understand the role of each tier. By leveraging Redis for short‑term cache, Chroma DB for semantic mid‑tier storage, and MinIO for durable long‑term archives, you create a balanced, cost‑effective AI stack that scales with your application’s needs.
Ready to see it in action? Follow the host OpenClaw guide, spin up the example stack, and start building intelligent agents that remember what matters.
Take the next step: explore the AI marketing agents template, or join the UBOS community to share your experiences.
For a broader industry perspective on AI memory architectures, see the recent analysis published by TechInsights.