remio vs TinyHumans

remio and TinyHumans are both productivity tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

remio

remio runs silently in the background on Windows and Apple Silicon Macs, recording what you browse, read, and discuss without requiring manual tagging or uploads. The core bet is that passive capture beats active curation — so instead of copying notes into a second brain, your second brain builds itself. The AI layer lets you query across files, meetings, emails, and saved pages in plain language, then generate reports or slide decks from that unified context. The ceiling appears when you need that knowledge base to connect to external systems or APIs — remio has no API surface, so whatever it captures stays inside the app. Teams that need to pipe insights into a CRM, a wiki, or a shared workspace hit that wall fast.

TinyHumans

OpenHuman runs as a desktop app, keeping memory and agent execution on your machine rather than a vendor's cloud — which means your work context, preferences, and knowledge base don't get packaged and sent upstream. NeoCortex handles the memory layer as an API, targeting teams who want deterministic recall baked into production applications. The agent layer is genuinely agentic: the vendor page describes joining meetings, executing code, controlling browsers, and running scheduled tasks autonomously. Where this architecture shows its limits is the managed backend services — even OpenHuman requires account sign-in and model routing that connect to TinyHumans-operated infrastructure, so 'local-first' is partial, not absolute. Teams needing fully air-gapped deployments will hit that wall.

Attribute	remio	TinyHumans
Pricing	Paid	Paid
Price	$11.6/mo	—
Free trial	7 days	No
Open source	No	No
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	Windows 10+ (x64), macOS M-Chip, iOS (mobile app), Chrome browser extension	macOS, Windows, Linux
Released	2025-04	2025
Pros	Passive background capture of pages, meetings, files, and emails without manual tagging, so your knowledge base reflects what you actually worked on rather than what you remembered to save. On-device meeting recording and transcription with no bots and no external routing, which means sensitive conversations stay off third-party servers — critical for legal, HR, or competitive research contexts. Conversational querying across your entire captured context — files, recordings, browser history, emails — so you can ask 'what did we decide about the pricing model' instead of hunting through five apps. Output generation (reports, slide decks, data tables) directly from your knowledge base, so the gap between 'I have the research' and 'I have the deliverable' collapses without switching tools. Local-first architecture with a self-hosted option available, so professionals in regulated environments or with data residency requirements are not blocked from using AI-assisted knowledge retrieval.	Persistent memory across sessions, so agents accumulate work context over weeks instead of resetting to zero on every launch — which eliminates the re-briefing overhead that makes most AI assistants impractical for ongoing projects. Local-first storage via OpenHuman, so your knowledge base and preferences stay on-device rather than being indexed by a cloud vendor — which matters for users handling sensitive research or proprietary workflows. NeoCortex API exposes the memory layer to production applications, so teams can build context-aware agents without rolling their own vector store and retrieval logic from scratch. Autonomous agent execution — browser control, code execution, meeting participation, scheduled tasks — so multi-step workflows run without requiring manual handoffs at each step. Self-hosted option exists, so teams with infrastructure preferences are not locked into a single deployment model.
Cons	No API surface exists, which means anything remio captures is stranded inside the app. A sales professional who wants client notes to sync to a CRM, or an engineer who wants documentation to flow into Confluence, has to export manually — and at the volume where automation matters most, that manual step erodes every hour the passive capture saved. Platform support is restricted to Windows 10+ (x64) and Apple Silicon Macs. Intel Mac users and any team running Linux are excluded entirely, not as a degraded experience but as a hard block. Teams with mixed hardware standardize on a different tool. There is no evidence of team workspaces, shared knowledge bases, or permission controls in available documentation. remio is built for individual capture and retrieval. When a product team wants a shared competitive intelligence base that multiple people query and contribute to, remio's architecture does not support that — and teams with that requirement move to tools like Notion AI or a shared RAG setup on top of a vector database.	OpenHuman's 'local-first' claim is partial: account sign-in and model routing connect to TinyHumans-managed backend services, meaning data does leave the device at the infrastructure layer. Teams under formal compliance requirements — HIPAA, SOC 2, air-gap mandates — hit this wall immediately and will route to a fully self-hostable alternative like a locally-deployed open-source agent stack. The scraped page content provides minimal technical depth on rate limits, latency guarantees, or retrieval precision for NeoCortex — which means teams evaluating it for high-stakes production use have precious little to benchmark against before committing engineering time to integration. With no named alternatives in the market data and a thin public footprint (community links but sparse documentation signals), teams that need proven enterprise support SLAs or a large peer community for troubleshooting will find the risk profile harder to justify against established memory infrastructure providers.

Bottom line

Only TinyHumans exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between remio and TinyHumans?

remio is Paid, while TinyHumans is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is remio better than TinyHumans?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.