MIND vs — ComparisonMIND vs Capacities
Persistent, cross-agent AI memory vs Object-based note-taking app
A note app built around typed objects (people, books, meetings, ideas) rather than a folder tree, with backlinks, daily notes, and an integrated AI assistant.
Side-by-side
| Capability | MIND | Capacities |
|---|
| Auto-built knowledge graph | Yes — memory is structured into a graph automatically | Manual — you assign object types |
| Cross-agent memory (any AI) | Yes — read/write via Model Context Protocol | No — AI built into Capacities |
| Model-agnostic | Yes — 50+ LLMs; your data persists regardless of model | No — bundled assistant |
| Emotion-weighted encoding | Yes — MINDsense weights what matters | No |
| Autonomous pattern detection | Yes — surfaces insights unprompted | No |
| Mobile + web + MCP | Yes — live across all three | Mobile + web (no open memory protocol) |
What Capacities is
A note app built around typed objects (people, books, meetings, ideas) rather than a folder tree, with backlinks, daily notes, and an integrated AI assistant.
• Content organised as typed objects instead of files and folders
• Backlinks and a daily-note capture loop
• Integrated AI assistant over your own content
• Web, desktop, and mobile with sync
• Tags, collections, and cross-object linking
How MIND is different
MIND extracts entities and relationships for you. Capacities asks you to choose an object type as you write.
MIND exposes its graph to outside agents via MCP. Capacities' AI is scoped to Capacities.
MIND is model-agnostic across 50+ LLMs rather than bound to one bundled assistant.
Frequently asked
What's the difference between MIND and Capacities?
MIND extracts entities and relationships for you; Capacities asks you to choose an object type as you write.
Can I use MIND alongside Capacities?
Yes. MIND is a model-agnostic memory layer accessible to any AI agent via the Model Context Protocol, so it complements Capacities rather than replacing your existing tools.
Is MIND a Capacities alternative?
MIND solves a different core problem — persistent, cross-agent AI memory as a knowledge graph — so it overlaps with Capacities on capture but goes further on portable, model-agnostic recall.
Capacities pricing: Free; Pro ~$9.99/mo (~$7.99/mo billed yearly); Believer ~$12.49/mo. Competitor details from public sources (mid-2026); features and pricing change — verify on the vendor’s site.
One memory. Every AI.
MIND is the persistent knowledge graph your AI reads from — across every model and agent you use. Start free.
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