feat(raycast-extension): initial version of supermemory extension for raycast

[MaheshtheDev]

feat(raycast-extension): initial version of supermemory extension for raycast

chore: update the metadata and ui for app to get api key

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[MaheshtheDev]

• feat(raycast-extension): initial version of supermemory extension for raycast #440 👈 (View in Graphite)
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[claude]

Code Review Feedback

I have thoroughly reviewed the Raycast extension implementation. Overall, this is a well-structured and professionally implemented extension that follows Raycast best practices. Here is my detailed analysis:

✅ Strengths

Code Quality & Architecture

• Excellent TypeScript usage: Strong type safety with well-defined interfaces and proper error handling
• Clean separation of concerns: API logic isolated in api.ts, components focused on UI
• Professional error handling: Custom error classes (SupermemoryAPIError, AuthenticationError) with appropriate error propagation
• Proper React patterns: Correct use of hooks, state management, and component lifecycle

Security & Best Practices

• Secure API key handling: Uses Raycast secure preferences system with type: "password"
• Input validation: Proper trimming and validation of user inputs
• Safe API interactions: Bearer token authentication with proper error handling
• No hardcoded secrets: All sensitive data properly managed through preferences

User Experience

• Excellent error messaging: Clear, actionable error messages with guidance
• Progressive loading states: Proper loading indicators and state management
• Debounced search: 500ms debounce prevents excessive API calls
• Graceful fallbacks: Handles missing data and edge cases well

🔧 Recommendations for Improvement

Code Quality

1. Remove debug logging: Line 98 in api.ts has console.log("url", url) - should be removed for production
2. DRY principle: The extractContent function is duplicated in search-memories.tsx (lines 95-120 and 213-238). Consider moving to a shared utility file
3. Magic numbers: Replace hardcoded values like 500 (debounce) and 50 (search limit) with named constants

Error Handling

• Consider adding retry logic for network failures in makeAuthenticatedRequest
• The catch block in getApiKey (line 85) swallows the original error - consider logging it for debugging

Performance

• Memoization opportunity: The performSearch callback could benefit from additional memoization of the search results to prevent unnecessary re-renders
• Memory cleanup: Consider canceling pending requests when component unmounts

🚨 Issues to Address

Missing Test Coverage

• Critical: No test files found in the extension
• Recommendation: Add unit tests for API functions, especially error handling scenarios
• Suggestion: Test component rendering and user interactions

Documentation

• API documentation: Consider adding JSDoc comments to exported functions
• Type documentation: Some complex types like SearchResult.chunks: unknown[] could be more specific

📊 Technical Assessment

Category	Rating	Notes
Code Quality	🟢 Excellent	Clean, well-structured TypeScript
Security	🟢 Excellent	Proper API key handling and validation
Error Handling	🟢 Good	Comprehensive with room for minor improvements
Performance	🟡 Good	Well-optimized with some enhancement opportunities
Documentation	🟡 Fair	Good README, could use more inline docs
Test Coverage	🔴 Missing	No tests present - critical gap

🎯 Priority Actions

1. High Priority: Remove debug logging from production code
2. Medium Priority: Add basic unit tests for API functions
3. Low Priority: Extract duplicate code to utilities

💡 Enhancement Suggestions

• Consider adding caching for project data to reduce API calls
• Implement offline state handling for better UX
• Add keyboard shortcuts for common actions
• Consider adding a "Recent searches" feature

This is a solid implementation that demonstrates good understanding of both Raycast development patterns and React best practices. The code is production-ready with the removal of debug logging, though adding tests would significantly improve maintainability.

Approval Status: ✅ Approved with minor changes - Remove debug logging and consider adding tests for future iterations.

[claude]

Code Review: Raycast Extension Implementation

I've thoroughly reviewed the Raycast extension PR and have the following feedback:

🎉 Positive Aspects

Excellent Architecture & Structure:

• Well-organized monorepo integration under apps/raycast-extension/
• Proper TypeScript configuration with strict typing
• Clean separation of concerns (API layer, UI components, utilities)
• Follows Raycast extension best practices with proper manifest structure

Strong Security Implementation:

• Secure API key storage using Raycast's preferences system (password type)
• Proper authentication error handling with user-friendly messages
• API key validation and connection checking
• Bearer token authentication with proper headers

Great User Experience:

• Real-time search with 500ms debouncing - optimal for responsiveness
• Proper loading states and error handling throughout
• Intuitive form validation and user feedback via toasts
• Project-based memory organization with dropdown selector

🔧 Technical Feedback & Suggestions

Code Quality (Overall: Excellent)

1. API Error Handling (apps/raycast-extension/src/api.ts:132-144):

   // Good: Proper error hierarchy and type checking
   // Consider: Adding retry logic for network errors

2. Search Implementation (apps/raycast-extension/src/search-memories.tsx:69-74):

   • Excellent debouncing implementation
   • Consider adding search history or recent searches functionality

3. Content Extraction (apps/raycast-extension/src/search-memories.tsx:95-120):

   • Robust handling of different chunk formats
   • Good defensive programming with type guards

Minor Improvements:

1. Package Lock File: The extension includes a large package-lock.json (3233 lines) when using Bun. Consider:

   • Using .npmrc to enforce Bun for consistency with monorepo
   • Adding package-lock to .gitignore for Bun projects

2. Constants Management: Good addition of RAYCAST_EXTENSION_URL to shared constants

3. Type Safety: Consider stricter typing for chunk content:

   // apps/raycast-extension/src/api.ts:25
   chunks: unknown[]; // Could be more specific if API contract is known

🔒 Security Review

✅ Excellent Security Practices:

• API keys stored securely in Raycast preferences
• No hardcoded credentials or secrets
• Proper authentication error handling
• HTTPS-only API communication

✅ No Security Concerns Identified

🚀 Performance Considerations

Optimizations Implemented:

• Search debouncing (500ms) prevents API spam
• Reasonable result limits (50 items)
• Efficient content truncation for UI display

Suggestions:

• Consider implementing search result caching for repeated queries
• The 50-item limit is reasonable for Raycast's UI constraints

🧪 Testing & Quality Assurance

Missing (as expected for initial version):

• Unit tests for API functions
• Integration tests for search functionality
• Error scenario testing

Recommendation: Consider adding basic tests for the API layer, especially error handling scenarios.

🔄 Web App Integration

Excellent Integration:

• Seamless API key generation for Raycast users
• Auto-trigger on ?q=raycast parameter
• Proper organization-scoped API keys
• Good UX with modal dialogs and copy functionality

📝 Documentation

Well Documented:

• Comprehensive README with setup instructions
• Clear package.json metadata
• Proper changelog structure

🎯 Overall Assessment

This is a high-quality implementation that follows best practices for both Raycast extensions and the existing codebase patterns. The code is well-structured, secure, and provides excellent user experience.

Recommendation: ✅ Approve with confidence

The implementation demonstrates strong engineering practices and integrates seamlessly with the existing Supermemory ecosystem. Perfect foundation for a production Raycast extension.

🔄 Next Steps (Optional Enhancements)

1. Add basic unit tests for critical API functions
2. Consider implementing search result caching
3. Monitor usage metrics to optimize search limits/debouncing
4. Consider adding keyboard shortcuts documentation

Great work on this implementation! 🚀

---

🤖 Generated with Claude Code

[claude]

🔍 Code Review: Raycast Extension for Supermemory

Overview

This PR adds a well-structured Raycast extension that integrates with the Supermemory API. The extension provides two core commands: adding memories and searching through existing memories.

✅ Strengths

Code Quality & Best Practices

• Excellent TypeScript usage: Strong type definitions and interfaces throughout
• Clean architecture: Good separation of concerns between UI components (add-memory.tsx, search-memories.tsx) and API logic (api.ts)
• Proper error handling: Custom error classes (SupermemoryAPIError, AuthenticationError) with meaningful error messages
• User experience: Good loading states, debounced search, and helpful empty states
• Raycast conventions: Follows Raycast extension patterns and uses appropriate UI components

Security Considerations

• Secure API key storage: Uses Raycast's password preference type for API key storage
• Input validation: Content validation before submission
• Proper authentication: Bearer token authentication with appropriate error handling for 401 responses

Performance Optimizations

• Debounced search: 500ms debounce prevents excessive API calls during typing
• Efficient state management: Proper loading states and cleanup with useCallback and useEffect
• Lazy loading: Projects are only fetched when the add-memory command is used

⚠️ Areas for Improvement

Error Handling & User Experience

1. Silent failures: In add-memory.tsx:71, errors are logged to console but users only see loading state disappear without feedback

   } catch (error) {
     console.error("Failed to add memory:", error);
     // Missing: Show error toast to user
   } finally {

2. Network error handling: No retry mechanism or offline state handling for network failures

API & Data Handling

3. Hardcoded API URL: API_BASE_URL = "https://api.supermemory.ai" should be configurable for different environments

4. Type safety concerns:

   • chunks: unknown[] in SearchResult interface could be more specific
   • metadata: Record<string, unknown> loses type safety for known metadata fields

5. Memory leak potential: Search debounce timers aren't cleaned up if component unmounts during timer

Code Robustness

6. Missing input sanitization: Content is only trimmed but not sanitized for potential XSS in markdown display

7. API response validation: No runtime validation that API responses match expected TypeScript interfaces

🚨 Potential Bugs

1. Race condition: Multiple rapid searches could display results out of order due to async nature
2. Memory state inconsistency: If API connection check fails during add-memory, projects dropdown still renders
3. Date parsing: formatDate function has try-catch but may fail silently on invalid date formats

📋 Missing Test Coverage

The extension lacks any test files. Consider adding:

• Unit tests for API functions
• Component tests for form validation
• Integration tests for the search functionality
• Error handling test cases

🏗️ Architecture Suggestions

1. API client abstraction: Consider creating a dedicated API client class to centralize request logic
2. Constants file: Move hardcoded values (API_URL, debounce delay, limits) to a constants file
3. Custom hooks: Extract search logic into a custom hook for reusability

📝 Documentation

The README and CHANGELOG are well-written and provide good setup instructions.

🎯 Recommendation

This is a solid implementation that demonstrates good TypeScript practices and follows Raycast conventions. The main concerns are around error handling user feedback and test coverage.

Suggested next steps:

1. Add error toasts for failed operations
2. Implement basic unit tests for the API layer
3. Add input sanitization for security
4. Consider making API URL configurable

Overall: Approve with minor improvements suggested ✅

---

🤖 Generated with Claude Code

Co-Authored-By: Claude [email protected]

[claude]

Code Review: Raycast Extension for Supermemory

Overall, this is a well-implemented Raycast extension that provides clean integration with the Supermemory API. Here's my detailed feedback:

✅ Strengths

Code Quality & Architecture:

• Clean separation of concerns with dedicated API layer (api.ts)
• Proper TypeScript usage with well-defined interfaces
• Good error handling with custom error classes (SupermemoryAPIError, AuthenticationError)
• Follows Raycast extension patterns and conventions well
• Proper use of React hooks and state management

User Experience:

• Intuitive form validation and user feedback via toasts
• Debounced search with 500ms delay for better performance
• Loading states and proper empty states
• Keyboard shortcuts (Cmd+C for copy, Cmd+O for URLs)
• Graceful handling of missing API keys with helpful guidance

Security:

• API key stored securely in Raycast preferences as password type
• Proper authentication error handling
• No credential leakage in logs or UI

🔧 Areas for Improvement

Error Handling & Resilience:

• api.ts:40, 71, 87: Consider adding retry logic for transient network failures
• search-memories.tsx:86-88: Error handling could provide more specific user guidance
• Missing timeout handling: API requests could hang indefinitely

Performance & Resource Management:

• search-memories.tsx:103-107: Memory leak potential - debounce timer cleanup looks correct but consider using useRef for timer storage
• No request cancellation: Previous search requests aren't cancelled when new ones start
• search-memories.tsx:74: Fixed limit of 50 results might not suit all use cases

Code Robustness:

• search-memories.tsx:15-40: The extractContent function has complex type checking that could be simplified with better typing
• api.ts:113-119: JSON parsing in error handling could be more robust
• Missing input sanitization: Content isn't sanitized before sending to API

Type Safety:

• search-memories.tsx:21: chunks property typed as unknown[] - could be more specific
• api.ts:23: metadata as Record<string, unknown> is too broad

🔒 Security Considerations

Low Risk Items:

• API communication uses HTTPS (good)
• Bearer token authentication implemented correctly
• No sensitive data exposed in client-side code

Recommendations:

• Consider adding request/response size limits
• Add input length validation for memory content
• Consider rate limiting guidance for users

🧪 Test Coverage

Missing Tests:

• No unit tests for API functions
• No integration tests for form submission
• No error scenario testing
• Consider adding tests for the complex content extraction logic

📦 Dependencies & Configuration

Package Management:

• Good use of TypeScript and modern React patterns
• Dependencies are appropriate and up-to-date
• Package.json configuration follows Raycast standards

Build & Deploy:

• Proper ESLint and Prettier configuration
• Build scripts align with Raycast requirements

💡 Enhancement Suggestions

1. Add request cancellation for better UX during rapid searches
2. Implement retry logic with exponential backoff for API calls
3. Add input validation for memory content length limits
4. Consider adding tags/categories beyond just projects
5. Add bulk operations for multiple memories
6. Implement offline detection and appropriate messaging

🚀 Overall Assessment

This is a solid implementation that follows best practices for Raycast extensions. The code is clean, well-structured, and provides good user experience. The main areas for improvement are around resilience, error handling, and test coverage.

Recommendation: ✅ Approve with minor improvements

The extension is ready for release with the current implementation. The suggested improvements can be addressed in future iterations.

[claude]

🔍 Pull Request Review: Raycast Extension for Supermemory

This is a well-structured Raycast extension implementation! Here's my comprehensive review:

✅ Strengths

Code Quality & Architecture:

• Clean TypeScript implementation with proper type definitions
• Well-organized file structure following Raycast conventions
• Good separation of concerns between API layer (api.ts) and UI components
• Proper use of React hooks and modern patterns
• Consistent error handling throughout the codebase

Security & Best Practices:

• Secure API key storage using Raycast preferences with password type
• Proper authentication error handling with clear user guidance
• Input validation and sanitization (e.g., content trimming)
• No hardcoded secrets or credentials

User Experience:

• Real-time search with debouncing (500ms) for good performance
• Helpful empty states and loading indicators
• Clear error messages with actionable guidance
• Keyboard shortcuts and intuitive UI patterns

🔧 Suggestions for Improvement

1. Type Safety Enhancement (apps/raycast-extension/src/api.ts:23)

// Consider making chunks type more specific
chunks: Array<{ content?: string; text?: string } | string>;

2. Error Boundary Implementation
Consider adding error boundaries around components to gracefully handle unexpected failures.

3. Rate Limiting Consideration (apps/raycast-extension/src/api.ts:49)
The API_BASE_URL is hardcoded. Consider if rate limiting might be needed for the search debouncing.

4. Package.json Optimization (apps/raycast-extension/package.json)

• Dependencies look appropriate and minimal
• Good use of exact versions for Raycast APIs
• ESLint configuration follows Raycast standards

🛡️ Security Assessment

✅ Secure:

• API keys stored securely in Raycast preferences
• No credential exposure in code
• Proper authentication flows
• Input sanitization implemented

📊 Performance Considerations

• Search debouncing is well-implemented (500ms)
• Reasonable search result limits (50 items)
• Efficient content extraction from chunks
• Good loading state management

🧪 Testing Recommendations

Consider adding:

• Unit tests for API functions
• Integration tests for the authentication flow
• Error handling edge cases

📁 Monorepo Integration

Good integration with the existing monorepo:

• Properly excluded from workspace in root package.json
• Separate lock file management
• Consistent with project conventions

🏆 Overall Assessment

This is a high-quality implementation that follows Raycast best practices and integrates well with the Supermemory ecosystem. The code is production-ready with good error handling, security practices, and user experience.

Recommendation: ✅ Approve - Ready to merge after addressing minor type safety improvements if desired.

The extension provides valuable functionality for Supermemory users and maintains the quality standards of the project.

[claude]

Comprehensive Code Review: Raycast Extension

Great work on implementing the Supermemory Raycast extension! This is a solid foundation with good TypeScript usage and proper Raycast patterns. Here's my detailed review:

🎯 Overall Assessment: Good (B+)

Strengths:

• Excellent TypeScript implementation with proper interfaces
• Clean separation of concerns (API, UI components)
• Secure API key management using Raycast preferences
• Good use of Raycast UI components and patterns
• Proper debounced search implementation

🚨 Critical Issues to Fix

1. Silent Error Handling in Add Memory (add-memory.tsx:69-73)

Current code:

} catch (error) {
  console.error("Failed to add memory:", error);
  // ❌ No user feedback on error, component stays in submitting state
} finally {
  setIsSubmitting(false);
}

Fix: Add user feedback for errors:

} catch (error) {
  console.error("Failed to add memory:", error);
  await showToast({
    style: Toast.Style.Failure,
    title: "Failed to add memory",
    message: error instanceof Error ? error.message : "Unknown error occurred",
  });
}

2. Unsafe Date Parsing (search-memories.tsx:109-120)

Issue: new Date() doesn't throw for invalid dates, returns "Invalid Date"

Fix:

const formatDate = (dateString: string) => {
  const date = new Date(dateString);
  if (isNaN(date.getTime())) return "Unknown date";
  // ... rest of formatting
}

⚠️ Medium Priority Issues

3. Type Safety for Chunks (search-memories.tsx:14-36)

Current: Using unknown type for chunks
Recommendation: Define proper interfaces:

interface ContentChunk {
  content?: string;
  text?: string;
}

interface SearchResult {
  chunks: (string | ContentChunk)[];
  // ... other fields
}

4. Performance - Unnecessary Re-renders

The performSearch function in useEffect dependency causes unnecessary re-renders due to isConnected dependency. Consider using useCallback more carefully.

🔧 Enhancement Recommendations

5. Add Search Result Caching

Implement simple query caching to improve UX:

const [searchCache] = useState<Map<string, SearchResult[]>>(new Map());

6. API Key Format Validation (api.ts:68-82)

Add validation beyond just presence check:

if (!apiKey || !apiKey.match(/^sm_[a-zA-Z0-9_]+$/)) {
  throw new AuthenticationError("Invalid API key format");
}

7. Input Sanitization

Consider adding length limits and basic sanitization for very large content inputs.

🧪 Test Coverage Recommendations

Priority test scenarios:

1. Error handling: Network failures, invalid API responses
2. Form validation: Empty content, malformed input
3. Search debouncing: Rapid typing scenarios
4. API integration: Authentication errors, rate limiting

🏗️ Architecture Suggestions

Consider extracting reusable logic:

// Custom hook for API connection state
const useSupermemoryAPI = () => {
  const [isConnected, setIsConnected] = useState<boolean | null>(null);
  // ... connection logic
  return { isConnected, checkConnection };
};

📝 Minor Improvements

• Add constants file for magic numbers (debounce delay, max results, etc.)
• Consider extracting common error handling patterns
• Add JSDoc comments for public functions

✅ What's Working Well

• Clean component architecture
• Proper TypeScript usage
• Good error boundaries
• Secure credential handling
• Intuitive user interface
• Proper loading states

This is a solid implementation that follows Raycast best practices. With the critical issues addressed, this will be a great addition to the Supermemory ecosystem!

Priority: Address items 1-2 before merging, items 3-4 can be follow-up improvements.

[claude]

Pull Request Review: Raycast Extension

I've reviewed PR #440 which adds a Raycast extension for Supermemory. Here's my detailed feedback:

🎉 Strengths

1. Well-structured implementation: The extension is cleanly organized with separate files for different commands
2. Good TypeScript usage: Strong typing throughout the codebase
3. Comprehensive feature set: Both add and search functionality are implemented
4. User-friendly: Good use of Raycast UI components
5. Integration updates: Nice addition to the web app's integrations page

🐛 Potential Issues & Bugs

1. Security Concern - API Key Exposure (HIGH)

The API key is exported as a constant at module load time. If preferences aren't set yet, this could cause runtime errors. Consider making this a function instead of a constant export.

2. Missing Error Handling (MEDIUM)

The search function doesn't handle network failures gracefully. Should add explicit error boundaries or toast notifications for errors.

3. Race Condition Risk (MEDIUM)

The debounced search doesn't cancel in-flight requests. With rapid typing, multiple API calls could resolve out of order.

4. Hardcoded URLs (LOW)

BASE_URL is hardcoded. Consider making this configurable for development/testing environments.

⚡ Performance Considerations

1. Debounce Implementation: The 300ms debounce is good, but consider exposing as a preference
2. Memory Leaks: Ensure cleanup in useEffect hooks, especially for the debounced search
3. Bundle Size: package-lock.json adds 3233 lines - consider using only Raycast recommended dependencies

🔒 Security Concerns

1. API Key Storage: Good use of Raycast preferences (secure storage) ✅
2. Input Validation: Add validation for URL fields in add-memory form
3. Content Sanitization: Ensure memory content is properly sanitized before rendering

🧪 Test Coverage

Critical Gap: No tests are included for:

• API client functions
• Memory search functionality
• Add memory form validation
• Error scenarios

Recommend adding at least unit tests for API functions.

📝 Code Quality Suggestions

1. Package Manager: Uses package-lock.json but repo uses bun.lock - should standardize on bun
2. ESLint Config: eslint.config.js uses incorrect import syntax
3. Biome Config: Review the biome.json changes to ensure linting isn't accidentally disabled

🎯 Recommendations

Must Fix:

1. Fix API key initialization to avoid potential crashes
2. Add proper error handling for network requests
3. Fix ESLint config syntax error
4. Add request cancellation for search debouncing

Should Fix:

1. Add at least basic unit tests for API client
2. Standardize package manager (use bun instead of npm)
3. Review Biome config changes
4. Add input validation for URLs and required fields

Nice to Have:

1. Make API URL configurable
2. Add loading states for project fetching
3. Include GIF/video in README
4. Add keyboard shortcuts documentation

📚 Documentation

The README is good but could be enhanced:

• Add troubleshooting section
• Include demo GIF/video
• Document keyboard shortcuts
• Add development setup instructions

✅ Overall Assessment

This is a solid first implementation with good structure and features. The main concerns are:

• Security/stability of API key handling
• Missing error boundaries
• Lack of tests
• Package manager inconsistency

Recommendation: Request changes for the must-fix items before merging.

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Great work overall! This will be a valuable addition to the Supermemory ecosystem. 🚀

[Dhravya]

Conflicts

[graphite-app]

Merge activity

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• Oct 1, 7:23 PM UTC: Graphite disabled "merge when ready" on this PR due to: a merge conflict with the target branch; resolve the conflict and try again..