Reyn vs TinyHumans

Reyn and TinyHumans are both personal assistants 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.

Reyn

Reyn passively records screen activity and surfaces it through a Q&A interface — ask what you worked on yesterday, and it pulls an answer from your actual session history, not from a search index you remembered to populate. A morning email digest recaps open items and recent completions, so you're not reconstructing your week at standup. The workflow capture feature watches you complete a process once, then documents the steps — which is useful for handing off SOPs without writing them from scratch. The hard ceiling appears the moment you need this on Windows or in a team context: Reyn is Mac-only and the data model is per-device, not shared. Teams that need collaborative activity logging or cross-platform coverage will find no path forward here.

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	Reyn	TinyHumans
Pricing	Paid	Paid
Price	$20/mo	—
Free trial	No	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	Yes
Platforms	Mac	macOS, Windows, Linux
Released	—	2025
Pros	On-device screen journaling means your screen contents — client work, code, internal docs — never transit a vendor's cloud, so you get AI-powered recall without the data exposure that cloud activity trackers carry. Live screen context at query time, not just historical indexing, so answers about 'what am I looking at right now' are grounded in the actual present state of your desktop rather than a stale snapshot. Workflow capture documents a process from a single live run-through, so you can hand off SOPs to a teammate without separately writing documentation after the fact. Morning email digest surfaces open items and recent completions automatically, so you're not reconstructing your week from memory at the start of each day. Multi-provider AI support, so you're not locked to one model vendor — if API costs or model quality shift, you switch providers without changing how your screen data is stored.	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	Reyn is Mac-only with no Windows support or self-hosted option described anywhere on the vendor page — a user who splits their work across platforms loses the journal entirely for their non-Mac sessions, and there is no documented path to extend coverage. The data model is per-device and there is no API or shared workspace feature, which means workflow documentation captured by Reyn cannot be accessed by a teammate directly from the tool — teams expecting a shared activity log or collaborative SOP repository will need a separate system, at which point Reyn becomes a personal note-taking layer rather than a team workflow tool. AI inference routes through external model providers, so the local-first claim applies only to raw screen data — queries still require an outbound call to whichever AI provider you configure, which means teams operating in fully air-gapped environments cannot use Reyn as described.	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 Reyn and TinyHumans?

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

Is Reyn 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.