How do I configure OpenClaw memory and skills?
Definitive Answer
Use the FetchOpenClaws Config Generator to visually configure memory settings (short-term, long-term, and vector storage), add skills from the 100+ pre-built library, and define custom tools. The config generator validates everything and exports a deployment-ready YAML.
Step-by-Step Guide
- 1Open the Config Generator and select a starter template closest to your use case.
- 2Configure memory settings: enable short-term context window, long-term storage, and optional vector search.
- 3Add skills from the pre-built library: customer support, data extraction, scheduling, etc.
- 4Define any custom skills with input parameters, execution logic, and output format.
- 5Connect tools your skills need: web search, database access, API calls, file operations.
- 6Validate the config, review the YAML output, and deploy to your FetchOpenClaws environment.
Example Prompt
Configure an OpenClaw agent with: long-term memory using PostgreSQL, vector search over product documentation, customer support and scheduling skills, and Stripe payment tool integration.
Common Pitfalls
- Configuring too many skills that confuse the agent about which to use for a given query
- Not setting memory size limits, causing the context window to overflow with old data
- Forgetting to test custom skills with edge cases before production deployment
- Not using the vector storage option for agents that need semantic search over documents
FAQ
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