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

One red button runs your workout — with an AI coach
Delts is an innovative iPhone-based gym tracker designed for fitness enthusiasts seeking a streamlined workout experience. Its core feature is a single red button that, when pressed, initiates your workout session, allowing you to effortlessly log sets, reps, and RPE (Rate of Perceived Exertion). Once finished, your session is automatically timed, saved to your history, and calorie burn is estimated, making workout tracking simple and efficient. What sets Delts apart is its AI Coach, which analyzes your real workout data, progress, and goals. It can interpret photos of equipment, meals, or your form, providing personalized insights and guidance. Entirely built by an ACE Certified Personal Trainer, Delts offers a privacy-focused experience with all local features free forever, while AI-powered analysis is available as a premium feature. Its open-source nature and solo development make it a transparent and user-centric fitness app, ideal for those who want an easy-to-use yet intelligent workout companion.
Pros
- Simple, one-button interface for quick workout logging
- Automatic session timing and calorie estimation
- AI Coach provides personalized insights and form analysis
- All local features are free forever, respecting user privacy
- Open source and developed by a certified trainer
Cons
- AI features require a premium subscription, which may add cost
- Limited to iOS devices, no Android version
- Still emerging in features compared to mature fitness apps
Best for
- • Streamlining workout logging for busy gym-goers
- • Tracking progress over time with automatic session history
- • Getting personalized feedback on exercise form and routines
- • Monitoring calorie burn during workouts
Pricing: Delts offers all local features for free, with AI-powered analysis available through a premium subscription. Exact pricing details are not specified, but likely follow a freemium model with paid plans starting around a few dollars per month.

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.