- Customize — teach the agent new things. Skills give it domain knowledge and specific instructions. MCP Servers connect it to external tools and data sources.
- Settings — configure how the agent runs. Choose your LLM, store secrets, tune context handling, and set agent behavior. Settings are saved per backend.
Customize
Open the top-levelCustomize area to manage:
Use the section navigation inside Customize to switch between those pages.
MCP configuration lives under
Customize > MCP Servers, not under Settings.Settings
TheSettings area currently includes the following sections:
On local backends, the
LLM page also includes an Available Profiles area for saved profiles.
Use Settings > Agent to choose the active Agent Profile for new conversations. OpenHands profiles reference LLM profiles from Settings > LLM; ACP profiles use the external agent’s own model configuration.
Persistent Agent Memory
OpenSettings > Agent Context to control persistent agent memory. When enabled, new OpenHands and ACP conversations can load saved memory from the workspace and user memory locations into their agent context.
Disable it when you do not want new conversations to load that persistent memory.
Learn more about the Persistent Memory implementation from the SDK Guide: Persistent Memory
Configuration Is Per Backend
Both Customize and Settings are tied to the active backend. That means:- Changing backends changes which configuration you are editing
- Skills, MCP servers, secrets, and other settings saved for one backend do not automatically apply to every other backend
- The available options can differ depending on backend capabilities
Practical Example
You might use this split like this:- Add a GitHub review skill in
Customize > Skills - Add a Slack or fetch MCP server in
Customize > MCP Servers - Save your preferred model in
Settings > LLM - Store tokens in
Settings > Secrets

