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#### RE-RAISING Pipecat live speech PR
### Added native speech-to-speech model support
### Summary:
- Speech-to-speech support - Auto-detect audio frames and inject memories to system prompt for native audio models (Gemini Live, etc.)
- Fix memory bloating - Replace memories each turn using XML tags instead of accumulating
- Add temporal context - Show recency on search results ([2d ago], [15 Jan])
- New inject_mode param - auto (default), system, or user
### Docs update
- Update the docs for native speech-2-speech models
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- Mobile responsive
- new toast design
- web document render issue fix
- posthog analytics
- ui improvements
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### Add user display name functionality and enhance space management with emoji support and deletion capabilities.
### What changed?
- Added support for user display names, which are now stored and displayed throughout the app
- Implemented emoji support for spaces (projects), allowing users to customize their space icons
- Created a new `AddSpaceModal` component with emoji picker for creating spaces
- Added space deletion functionality with options to move content to another space or delete everything
- Enhanced the space selector UI to show emojis and delete options
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Co-authored-by: Claude Opus 4.5 <[email protected]>
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### TL;DR
Redesigned the browser extension UI with a dark theme and improved the Twitter bookmarks import experience with a new onboarding flow.
### What changed?
- Added a new `RightArrow` icon component for UI navigation
- Completely redesigned the popup UI with a dark theme and improved layout
- Enhanced Twitter bookmarks import functionality:
- Added an onboarding toast that appears the first time a user visits the bookmarks page
- Implemented a persistent import intent system that automatically opens the import modal when navigating to the bookmarks page
- Created a progress toast to show import status
- Improved folder import UI
- Updated the extension icon and added a new logo SVG
- Improved the project selection modal with better styling
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deep-research on user profile
add novel integration
tiptap 3.x integration
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Co-authored-by: Dhravya Shah <[email protected]>
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### Changes
- New documentation page: apps/docs/voice-realtime/pipecat.mdx
- Installation guide for supermemory-pipecat package
- Configuration with SupermemoryPipecatService and InputParams
- Pipeline integration guide
- How it works (Memory Retrieval, Context Enhancement)
- Memory modes table (profile, query, full)
- Configuration options with InputParams
- Complete FastAPI voice agent example
- Updated docs.json:
- Added new "Voice & Realtime" group under SDKs tab with mic icon
- Removed external npm/pypi link pages from SDK sidebar
### Files Changed
apps/docs/voice-realtime/pipecat.mdx (new)
apps/docs/docs.json (modified)
### Navigation
SDKs → Voice & Realtime → Pipecat
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### TL;DR
TESTING REMAINING. This is my hypothesis. @MaheshtheDev please carry on from here or we can test in prod.
Added a proxy endpoint for OAuth authorization server metadata to support non-compliant MCP clients.
### What changed?
Added a new endpoint `/.well-known/oauth-authorization-server` to the MCP server that proxies requests to the main API. This endpoint fetches the authorization server metadata from the API and returns it to clients.
### How to test?
1. Make a GET request to `/.well-known/oauth-authorization-server` on the MCP server
2. Verify that it returns the same metadata as the main API's `/.well-known/oauth-authorization-server` endpoint
3. Test with a client that expects to find the authorization server metadata on the MCP domain
### Why make this change?
Some MCP clients don't correctly follow the OAuth specification. Instead of using the `authorization_servers` array provided in the protected resource metadata, they look for the authorization server metadata directly on the MCP server domain. This proxy endpoint ensures compatibility with these non-compliant clients without requiring them to be updated.
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Added documentation for the new `context` prompt in the Supermemory MCP server that enables automatic user profile injection into AI conversations. Updated the MCP overview page with detailed parameter documentation and usage guidance, and added a changelog entry for December 30, 2025.
**Files changed:**
- `apps/docs/supermemory-mcp/mcp.mdx` - Added Prompts section with `context` prompt documentation
- `apps/docs/changelog/developer-platform.mdx` - Added December 30, 2025 changelog entry
Generated from [fix: prompt injection with mcp](https://github.com/supermemoryai/supermemory/pull/638) @MaheshtheDev
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Add comprehensive documentation for the S3 connector including:
- Quick setup with TypeScript, Python, and cURL examples
- S3-compatible services support (MinIO, DigitalOcean Spaces, R2)
- Prefix filtering and dynamic container tag extraction
- Connection management and sync behavior
- IAM permissions and security best practices
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Added comprehensive documentation for the new `promptTemplate` option in the AI SDK, which allows developers to customize how memories are formatted and injected into system prompts. This includes examples for XML-based prompting (Claude), custom branding, and the `MemoryPromptData` interface.
## Files Changed
- `apps/docs/ai-sdk/user-profiles.mdx` - Added "Custom Prompt Templates" section with examples and interface documentation
- `apps/docs/ai-sdk/overview.mdx` - Updated User Profiles section to mention customization capabilities
Generated from [feat: allow prompt template for @supermemory/tools package](https://github.com/supermemoryai/supermemory/pull/655) @MaheshtheDev
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Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com>
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## Add customizable prompt templates for memory injection
**Changes:**
- Add `promptTemplate` option to `withSupermemory()` for full control over injected memory format (XML, custom branding, etc.)
- New `MemoryPromptData` interface with `userMemories` and `generalSearchMemories` fields
- Exclude `system` messages from persistence to avoid storing injected prompts
- Add JSDoc comments to all public interfaces for better DevEx
**Usage:**
```typescript
const customPrompt = (data: MemoryPromptData) => `
<user_memories>
${data.userMemories}
${data.generalSearchMemories}
</user_memories>
`.trim()
const model = withSupermemory(openai("gpt-4"), "user-123", {
promptTemplate: customPrompt,
})
```
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- twitter import for all bookmarks
- fixed chrome extension package dependencies issues with monorepo
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