Personalizing Your AI Agent: SOUL.md, USER.md, IDENTITY.md
A practical guide to personalizing AI agents with SOUL.md, USER.md, and IDENTITY.md so OpenClaw workflows stay consistent, useful, and aligned to user preferences.
One of the most effective ways to improve AI behavior is to organize context into a few clear files instead of mixing everything together. In OpenClaw-style workflows, files like SOUL.md, USER.md, and IDENTITY.md can help create a more consistent and personalized AI agent.
SOUL.md
Use SOUL.md for the agent’s deeper behavioral qualities:
- Tone and communication style
- Values and principles
- Ethical boundaries
- Long-term behavioral preferences
Think of this file as the personality anchor for your AI system.
USER.md
Use USER.md for the preferences of the person the agent is serving.
Examples include:
- Preferred response length
- Writing style preferences
- Tool or workflow preferences
- Repeated domain-specific defaults
This helps the assistant adapt output to the way you actually like to work.
IDENTITY.md
Use IDENTITY.md to define the role and mission of the assistant.
Include things like:
- Primary responsibilities
- Explicit non-responsibilities
- Goals and success criteria
- Scope boundaries
This reduces role drift during longer or more complex tasks.
Recommended Structure
A clean setup usually follows these principles:
- Keep each file short and intentional.
- Avoid repeating the same rule in multiple files.
- Review the files regularly as your workflow evolves.
- Separate personality, user preference, and mission as distinct concepts.
Why This File-Based Approach Works
This structure improves:
- Consistency of responses
- Reuse across projects
- Easier updates over time
- Better control over AI agent behavior
Instead of trying to rewrite the same prompt over and over, you maintain context in a way that is modular and easier to reason about.
Final Thoughts
If you want a more personalized AI workflow, file-based context is a strong pattern. Defining personality in SOUL.md, user preferences in USER.md, and scope in IDENTITY.md gives your agent clearer instructions and makes long-term behavior more stable.