- Use viewportVersion (not zoomDisplay) as activePopoverPosition dependency
- Fire onViewportChange based on actual viewport state diff (panX/panY/zoom)
instead of only during animated transitions (vpMoving)
- Also fire during simulation so popover tracks settling nodes
- Remove dead lastReportedZoom variable
- Remove no-op node ID tracking effect and prevIdsRef
- Change bun:test import to vitest for CI compatibility
- Add viewportVersion counter for popover recalculation during pan
- Add hex color guard in lightenColor for non-6-digit formats
- Optimize version edge filtering with batch property
- Simplify stroke style conditions in drawDocumentNode
- Drop shadows on selected/hovered nodes (document + memory) for depth
- Subtle gradient fill on document nodes
- Improved dimming contrast for superseded memories (0.3 alpha + strikethrough)
- Hover glow ring with dashed outline for interactivity feedback
- X icon overlay on forgotten memory nodes (size > 14px)
- Glow pass behind version edges for visual emphasis
- lightenColor utility with cache + guard for non-6-digit hex
- Use memData.isForgotten instead of fragile color comparison
- Optimize version edge batch: skip filter, use first.isVersion flag
- Add 10 unit tests for lightenColor (hex parsing, clamping, cache, edge cases)
- Rename tip -> cursor for consistency with backward walk
- Fix misleading test descriptions to reflect bidirectional behavior
- Add test for circular parent references (cycle protection)
- Add test for branching children (first-child-wins behavior)
- Document linear chain assumption in forward walk comment
- Added childrenMap for forward traversal from parent to children
- getChain now walks backward to root AND forward to latest descendant
- Clicking v1 root node now shows the complete version chain UI
- Standalone v1 nodes (no children) still return null (no chain to show)
- Updated tests to reflect bidirectional behavior + added v1 root test
Memory nodes with isLatest=false are now visually dimmed:
- Full-size nodes: 35% opacity with dashed border stroke
- Zoomed-out dots: 35% opacity with thinner stroke
- Selected/hovered superseded nodes render at full opacity
so users can still inspect them
prepack/postpack fire for both 'pack' and 'publish', and postpack
always runs after packing regardless of publish success, preventing
the working tree from being left in dist-exports state on failure.
- Package exports now point to source files (./src/index.tsx) for workspace
consumers, allowing Next.js/Turbopack to resolve without pre-building
- Added publishConfig swap script that switches exports to dist/ during
npm publish (prepublishOnly) and back to source after (postpublish)
- Added @supermemory/memory-graph to transpilePackages in web app next.config.ts
so Next.js transpiles the source files correctly
- Fix slideshow useEffect: use nodesRef instead of nodes in deps to prevent
interval teardown/recreation on every render
- Fix edges useMemo: compute allNodeIds from normalizedDocs directly instead
of depending on nodes (which changes identity every render)
- Fix popover position: add zoomDisplay to deps so position updates on pan/zoom
- Implement maxNodes prop: limit documents before passing to useGraphData
- Fix SpatialIndex hash: include node IDs and use 10x position granularity
to prevent false cache hits during physics simulation
Added workspace management to the onboarding flow with automatic organization creation and workspace validation throughout the app.
### What changed?
- Wrapped the app layout with an `EnsureWorkspace` component that redirects users without organizations to onboarding
- Enhanced the welcome page to automatically create an organization with a generated slug when users complete their name input
- Expanded the auth context to track organizations list, restoration state, and provide organization refetching capabilities
- Added utility functions for generating unique organization slugs and usernames from display names
- Implemented proper organization restoration logic that handles saved preferences and multiple organization scenarios
The subscription check on plugins, connections, and usage pages was hardcoded to only look at `api_pro`. Users on scale or enterprise plans saw "Upgrade to Pro" and couldn't create plugin keys or manage connections.
Also, the check only looked at product `status` but not the `allowed` flag from autumn — so users who downgraded but were still in their billing period got locked out early.
## Summary
This PR introduces comprehensive Supermemory integration for the Microsoft Agent Framework, providing three complementary approaches to add persistent memory capabilities to agents: middleware for automatic memory injection, context providers for session-based memory management, and tools for explicit memory operations.
## Key Changes
- **SupermemoryChatMiddleware**: Automatic memory injection middleware that fetches relevant memories from Supermemory before LLM calls and optionally saves conversations. Supports three modes:
- `"profile"`: Injects all static and dynamic profile memories
- `"query"`: Searches for memories relevant to the current user message
- `"full"`: Combines both profile and query modes
- **SupermemoryContextProvider**: Idiomatic context provider following the Agent Framework pattern (similar to built-in Mem0 integration). Integrates with the session pipeline via `before_run()` and `after_run()` hooks for automatic memory retrieval and storage.
- **SupermemoryTools**: FunctionTool-compatible tools that agents can use for explicit memory operations:
- `search_memories()`: Search for specific memories
- `add_memory()`: Add new memories
- `get_profile()`: Retrieve user profile
- **Utility Functions**: Helper functions for:
- Memory deduplication across static, dynamic, and search result sources
- Profile-to-markdown conversion for LLM consumption
- Message extraction and conversation formatting
- Logging with configurable verbosity
- **Exception Hierarchy**: Custom exceptions for better error handling:
- `SupermemoryConfigurationError`: Missing/invalid configuration
- `SupermemoryAPIError`: API request failures
- `SupermemoryNetworkError`: Network connectivity issues
- `SupermemoryMemoryOperationError`: Memory operation failures
- **Comprehensive Documentation**: README with quick start examples, configuration options, and API reference for all three integration approaches.
- **Test Suite**: Unit tests covering middleware, context provider, tools, and utility functions with proper mocking and error scenarios.
## Implementation Details
- Supports both async (aiohttp) and sync (requests) HTTP clients with automatic fallback
- Handles multiple message formats (dict, objects with attributes, content arrays)
- Configurable memory storage with optional conversation grouping via `conversation_id`
- Environment variable fallback for API key configuration (`SUPERMEMORY_API_KEY`)
- Background task management for non-blocking memory operations in middleware
- Proper async/sync compatibility for the Supermemory SDK
https://claude.ai/code/session_012idB5y6UGK3zmeFULgTc4z
### Implemented nova spaces multi-select
##### Summary
- Renamed "All Spaces" to "Nova Spaces" - now filters to only nova content (sm_project_*)
- Added multi-select spaces support via "Select Spaces" modal
- Projects API now returns `{ nova, developer }` instead of `{ projects }`
##### Changes
- `selectedProject` → `selectedProjects[]` (array-based selection)
- New `SelectSpacesModal` component for picking multiple spaces
- Selected spaces appear at top in modal
- Search works by containerTag
- Graphs filter by selected spaces
1. New chat messages saving to old thread (race condition)
2. Feedback modal null handling issue (boolean | null not coerced to boolean)
3. Wrong icon on Integrations tab (was Cable, now Sun)
4. Wrong icon on Graph tab (was LayoutGridIcon, now GraphIcon)
5. Missing cursor pointer on header tabs
6. Default view was "graph" instead of "list"
Summary
- Migrate from consumer_pro to api_pro billing product across the app
- Enable Nova app for all users (remove feature flag)
- Add credits-based usage tracking with tokens abstraction
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
