Researchers managing papers, citations, and literature reviewneed tools that keep up with their workflow. Here's how Melo and Capacities compare for this specific use case.
What researchers need from a productivity tool
Researchers deal with papers, citations, and literature review daily. The ideal tool for this workflow needs to be fast (no waiting for pages to load), flexible (different projects require different layouts), and smart (AI that understands your specific context). Privacy matters too — researchers often handle sensitive information.
Dozens of browser tabs open with journal articles and no way to organize them
Literature review notes disconnected from the papers they reference
AI tools that summarize without understanding your research context
Collaborative tools that put sensitive unpublished research on someone else's server
Capacities for researchers
Object-based note-taking with structured content. While Capacities is a capable tool, researchers often find it limiting when they need to work with multiple content types simultaneously. Capacities's approach works for generic use cases, but the specific demands of papers, citations, and literature review require more flexibility.
Melo
Capacities
Approach
Spatial canvas — free-form, visual, flexible
Object-based — everything is a typed entity with properties
Data
Local-first — private by default
Cloud-first — data stored on Capacities' servers
AI
Workspace-aware AI built into the canvas
AI assistant with object awareness
Flexibility
Arrange anything anywhere — no schema required
Structured — great when it fits, rigid when it doesn't
Platform
Native Mac app — fast and polished
Web-first with desktop wrapper
Why researchers pick Melo
Open a journal article in one tile, your notes in another, and AI chat to help you synthesize findings. Melo's spatial layout lets you visually map relationships between papers. All data stays local — your unpublished research never touches a cloud server.
For researchersspecifically, Melo's spatial canvas means you can design a workspace that mirrors how you think about papers, citations, and literature review. Tile your key documents, tasks, web references, and AI chat on one board. Switch between project contexts by switching boards. Everything stays local, fast, and private.
Frequently Asked Questions
Is Melo faster than Capacities?
Melo is local-first — your data lives on your Mac with zero server round-trips. This means sub-50ms response times for everything. Capacities relies on cloud infrastructure, which introduces latency, especially with larger workspaces.
What makes Melo better than other tools for researchers?
Most tools force you into their structure — linear documents, rigid databases, or text-only editors. Researchers need flexibility to arrange papers, citations, and literature review in a way that makes sense. Melo's spatial canvas adapts to you, and the AI understands your full context.
What does Melo do that Capacities doesn't?
Melo's key differentiators are the spatial canvas (tile any content type side by side), workspace-aware AI (sees your entire board, not just one document), and local-first architecture (instant performance, true privacy). Most traditional tools focus on one paradigm — Melo combines notes, tasks, AI, web, and calendar in one spatial environment.
What platforms does Melo support?
Melo is built exclusively for macOS. It's a native Electron app optimized for the Mac experience — trackpad gestures, keyboard shortcuts, and performance tuned for Apple hardware.
Is Melo free?
Melo is a one-time lifetime license ($29.99). There's no free tier and no subscription — you pay once and get full access to everything from day one, no feature gating, all future updates included.