adds withSupermemory wrapper and input/output processors for
mastra agents:
- input processor fetches and injects memories into system prompt
before llm calls
- output processor saves conversations to supermemory after
responses
- supports profile, query, and full memory search modes
- includes custom prompt templates and requestcontext support
const agent = new Agent(withSupermemory(
{ id: "my-assistant", model: openai("gpt-4o"), instructions:
"..." },
"user-123",
{ mode: "full", addMemory: "always", threadId: "conv-456" }
))
includes docs as well
this pr also reworks how the tools package works into shared modules
- Created a new `useOrgOnboarding` hook that uses `org.metadata.isOnboarded` to track onboarding state
- Updated the home page to conditionally use either the old localStorage-based onboarding or the new DB-backed onboarding based on feature flag
- Added a "Restart Onboarding" option in the user dropdown menu
- Improved the onboarding chat sidebar with per-link loading indicators
- Enhanced the X/Twitter research API to better handle different URL formats
- Updated the integrations step to use the new onboarding completion method
- Added `updateOrgMetadata` function to the auth context for easier metadata updates
