Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
AI web browser for macOS that reads your tabs and connected apps to brief you, synthesize info and answer questions across your work.
IB/MYP exam-prep platform combining a large question bank, expert notes, flashcards, and AI-graded coursework feedback for IB students.
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
No public pricing
No public pricing
Free trial available
- ✦AI that reasons across open tabs and connected apps
- ✦Morning Brief of calendar, inbox and links
- ✦Synthesis into reports and decks
- ✦Split view and organised tab groups
- ✦Work and personal profiles
- ✦Privacy controls with end-to-end encrypted Sync
- ✦35,000+ IB-style practice questions across subjects
- ✦Examiner-written study notes and textbooks
- ✦AI coursework grading for IA, EE, and TOK with rubric breakdowns
- ✦Flashcards and a custom test/exam builder
- ✦IB grade calculator and grade boundary lookup
- ✦Exemplar library of graded IB coursework
- ✦Access to multiple AI models (GPT-4, Claude 3, Mixtral)
- ✦PDF analysis
- ✦AI image generation
- ✦AI data scientist
- ✦AI visualizations
- ✦Music composition
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
- →Summarising and synthesising work context
- →Starting the day with an agenda brief
- →Answering questions across tools and tabs
- →Separating work and personal browsing
- →IB students preparing for final exams with subject-specific question practice
- →Students seeking AI feedback on IA, EE, or TOK drafts before submission
- →MYP students building foundational subject knowledge
- →Students building personalized flashcard decks for revision
- →Chat with PDF documents to get instant insights
- →Turn data into easy-to-understand visuals
- →Create high-quality images with AI
- →Manage tasks more efficiently with AI assistance
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI