Stella vs Unabyss for Claude
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Unabyss for Claude leads with 654 upvotes

Local natural language search across all your files
Stella is a powerful local search tool designed for Mac users who need quick and accurate retrieval of files based on natural language descriptions. Unlike traditional filename-based searches, Stella understands your natural language queries like 'my cheat sheet for the final exam' or 'the product spec from last week's meeting,' and swiftly locates the relevant files on your device. Its seamless integration with your Mac allows users to drag files directly into Gmail, open them instantly, or launch any app from a unified search bar, making it an all-in-one productivity enhancer. The tool emphasizes privacy, requiring no account creation and ensuring all searches are conducted locally, which is ideal for users prioritizing security. Its user-friendly approach, combined with its ability to handle poorly named files, makes it suitable for students, professionals, and anyone managing large quantities of documents on their Mac.
Pros
- Natural language search capability that understands descriptive queries
- Local search ensures privacy and security, no cloud storage required
- Easy to use with quick file access and app launching features
- No account needed, free to use
- Handles poorly named files effectively
Cons
- Limited to Mac users, not available cross-platform
- May have a learning curve for users unfamiliar with natural language searching
- Features might be basic compared to more comprehensive enterprise search solutions
Best for
- • Locating specific files with natural language descriptions on Mac
- • Quickly opening files or launching apps without navigating folders
- • Finding meeting notes, project documents, or reference materials efficiently
- • Managing files with non-standard or poor filenames
Pricing: Stella is free to use, with no account requirements, making it accessible for all users without additional costs.

Shared memory across all apps and LLMs. In Claude
Unabyss for Claude is a groundbreaking tool designed to enhance the capabilities of AI language models by offering shared memory across multiple applications and LLMs. It allows Claude to access and recall context from various sources like email, Google Drive, GitHub, Notion, and meeting recordings, creating a unified memory that improves AI interactions and productivity. Unlike traditional integrations that require manual wiring of each app, Unabyss automates the process, ensuring Claude stays updated with all relevant information in real-time. This results in more accurate, context-aware responses that truly understand your business and personal workflows. Perfect for teams and individuals seeking seamless AI collaboration, Unabyss makes AI smarter, more private, and portable by maintaining a persistent, secure memory foundation that follows users across different platforms and tools.
Pros
- Creates a unified, persistent memory for multiple AI tools and apps
- Automates integration process, saving setup time and effort
- Enhances AI contextual understanding for more accurate responses
- Supports privacy and data security with private memory storage
- Portable memory that follows users across platforms
Cons
- Potential complexity in setup for non-technical users
- Limited information on pricing and plans at this stage
- Dependence on third-party app integrations which may vary
Best for
- • Improving AI-driven customer support with contextual history
- • Enhancing project management with shared knowledge across tools
- • Streamlining developer workflows by syncing code repositories and notes
- • Personalized AI assistants that remember user preferences and history
Pricing: Likely operates on a freemium model with free access and paid plans that increase storage or feature limits, typical for SaaS productivity tools, though specific details are not yet publicly available.