SuperIntern vs TinyHumans

SuperIntern 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.

SuperIntern

The vendor describes Super Intern as an always-on assistant that scans your inbox, calendar, and prior-day context autonomously, then surfaces meeting recaps, drafted follow-ups, and cross-timezone scheduling without you initiating each step. It lives inside the messaging apps you already have open — Telegram, Discord, Slack (beta), WeChat — so the interface is a chat thread, not another dashboard to check. The 'Skill Hub' model is the differentiating architectural bet: packaged agent behaviors that can be dropped into group chats, giving a whole team access to the same capability without per-seat configuration. The credit-based consumption model means heavy email weeks eat into meeting recap capacity, and teams that push all three use cases simultaneously will hit the monthly ceiling faster than the headline number suggests.

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	SuperIntern	TinyHumans
Pricing	Paid	Paid
Price	$30/month	—
Free trial	7 days	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	Yes
Platforms	Telegram, WeChat, Discord, Slack (Beta), iMessage (Coming soon), Line (Coming soon)	macOS, Windows, Linux
Released	—	2025
Pros	Autonomous pre-day scanning of inbox, calendar, and prior context, so you start work with a briefing already assembled rather than spending the first hour reconstructing yesterday. Operates natively inside Telegram, Discord, Slack (beta), and WeChat, which means no separate app to check and no context-switching to see what the agent found. Skill Hub lets one person configure an agent behavior and deploy it into a shared group chat, so a team inherits a capability without each member configuring it independently. Tool-by-tool permission grants with one-click revocation and on-demand data deletion, so you are not permanently committed to the access scope you set at signup. SOC 2 Type I certified and hosted on Google Cloud Platform with end-to-end encryption, so regulated-adjacent teams can point to a compliance artifact without running their own infrastructure.	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	The Skill Hub defines the ceiling of what the agents do — if a workflow you need does not exist as a packaged skill and the no-code editor cannot express it, there is no documented path to extend agent logic yourself, which pushes teams with custom automation requirements toward platforms like Zapier or Make where the branching is fully configurable. Credits are pooled across email drafting, meeting recaps, and social posts with no apparent per-category ringfencing; a week with back-to-back meetings consumes the same pool as a heavy email week, so teams running all three use cases in parallel hit the monthly ceiling before the billing cycle ends and face a gap in coverage. Slack support is listed as beta and iMessage as 'coming soon,' so teams whose primary communication happens in Slack or Apple's ecosystem are building workflow dependency on a channel that is not yet at parity with Telegram — any reliability issue in the beta integration breaks the morning briefing loop they are counting on.	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 SuperIntern and TinyHumans?

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

Is SuperIntern 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.