Lockin MCP vs TinyHumans

Lockin MCP 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.

Lockin MCP

The tool runs a background daemon that exposes a small set of callable functions: block a site, start a timed focus session, grant a temporary unblock that expires automatically, and check what's currently blocked. Your AI assistant — Claude, ChatGPT, Perplexity, or Gemini — calls those functions when you ask in plain language. Blocks survive restarts and new browser tabs because they sit at the OS level, not inside any single application. The single-command installer wires up the MCP server and license verification in one step. The surface area is deliberately small — this does one thing, not a dashboard full of analytics.

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	Lockin MCP	TinyHumans
Pricing	Paid	Paid
Price	$19.99 once	—
Free trial	No	No
Open source	Yes	No
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	macOS, Linux, Windows	macOS, Windows, Linux
Released	—	2025
Pros	Hosts-file-level blocking means the block holds across every browser and application on the machine, so opening an incognito window or a secondary browser does not bypass it. Four tightly scoped MCP functions — block, temp-unblock, focus session, status — integrate directly into Claude, ChatGPT, Perplexity, and Gemini, so you manage focus from inside the same chat window you already work in rather than switching to a separate app. Temporary unblocks carry an automatic expiry timer managed by the daemon, which means you do not have to remember to re-enable blocks after a brief check — they expire on schedule. The daemon restarts with the machine and re-activates all active blocks and timers, so a reboot does not silently disable your focus setup. A single npx install command handles license verification and MCP server wiring, which means setup does not require manual editing of config files or separate server configuration.	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	Blocks are local to one machine: if you work across a desktop and a laptop, you must install and configure separately on each device, and there is no sync layer — teams that need consistent rules across a fleet will hit this wall on day one and move to a network-level or MDM-based solution. The tool exposes no usage analytics, session history, or accountability reporting — if your workflow requires reviewing how many focus sessions ran or whether a block was bypassed, LockIn MCP produces none of that data, and you are maintaining a separate log manually. The MCP functions are callable by your AI assistant but only when you initiate the conversation — the tool does not run autonomous scheduled sessions or react to calendar events on its own, so users expecting automated focus enforcement without manual prompting will need to wire that trigger themselves or switch to a tool with native scheduling.	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

Lockin MCP is open source; only TinyHumans exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Lockin MCP and TinyHumans?

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

Is Lockin MCP 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.