- Switch to infinite query with viewport-triggered pagination (loads more when user zooms out 3x past node bounds)
- Remove maxNodes cap so all data renders
- Remove background color and dot pattern from graph
- Make document-memory edges light grey
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
- Fixed memory graph stuck on "Loading graph data..." caused by field name mismatch after package rewrite (`memoryEntries` vs `memories`, `type` vs `documentType`)
- Improved MCP app UI to match console-v2 design: golden derives edges (#FBBF24), edge glow pass, node hover effects, dot mode at low zoom, vertical controls with keyboard shortcuts, expandable legend
- Synced local `memory-graph` edgeDerives constant with published npm version
## Test plan
- [ ] Run `cd apps/mcp && bun run dev`, connect via Claude Desktop
- [ ] Verify graph renders with golden derives edges and blue dashed extends edges
- [ ] Verify node hover/selection glow effects
- [ ] Verify Fit (Z), Center (C), zoom (+/-) keyboard shortcuts
- [ ] Verify legend expands/collapses
- redirect to login when session is gone instead of blank screen
- show cached username while session restores so header doesn't flicker
- cleaned up redundant type casts and unused vars
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
