Corino AI vs Persnally

Corino AI and Persnally 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.

Corino AI

The platform handles AI chat, image generation, file uploads for analysis, and persistent conversation history from a single web account. The vendor describes AES-256 encryption on stored conversations, which matters if you are uploading code or documents you would not want sitting in plaintext. There is no API and no self-hosted option, so everything runs on Corino's infrastructure — your team cannot point this at an internal model or route data elsewhere. Some features are paid-only, and the free tier is the entry point, not a production configuration.

Persnally

The setup is a single npm install and an import command that reads your Claude exports, Claude Code sessions, and git repos, then builds a structured, evidence-linked profile in ~/.persnally. From there, a local daemon serves that profile over MCP so Claude, Cursor, Copilot, and other connected tools load your conventions and preferences at session start without you repeating them. Per-client scopes let you decide exactly what each tool can see. The architecture is the trust model — context never leaves your machine, deletions erase source events and rebuild all derived views with no residue. Where it breaks: any tool that does not speak MCP stays out of the loop, and teams using proprietary AI integrations without MCP support get nothing from this.

Attribute	Corino AI	Persnally
Pricing	Paid	Free
Price	$3/month	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	Web	macOS, Linux, Windows (Node 20+)
Pros	Unified chat, image generation, and file analysis in one workspace, so you avoid tab-switching between three separate tools during a single task. Persistent, searchable conversation history, which means you can retrieve context from a session last week without re-prompting from scratch. AES-256 encryption on stored conversations, so files and code you upload are not sitting in plaintext on shared infrastructure. No credit card required to start, so you can test the actual product against your workflow before committing to a paid tier.	Learns your stack, conventions, and preferences from existing AI history on import, so you stop re-explaining the same context at the start of every new session across different tools. Serves context over MCP — the protocol already adopted by Claude, Cursor, Copilot, and others — which means no custom plugin per tool; one daemon serves all connected clients. Per-client scopes let you control exactly what each AI tool is allowed to read, so a scoped agent gets a narrower view than your primary coding assistant without manual prompt filtering. Provenance-complete profile means every inferred trait links to the source events that produced it, so you can audit what the tool thinks it knows and why rather than treating it as a black box. Deletion erases source events and rebuilds all derived views from zero — no soft deletes or hidden residue — which means removing a topic actually removes it from everything downstream.
Cons	No API is available, which means any workflow that needs to call the platform programmatically — scheduled tasks, integrations with other tools, automated pipelines — cannot be built here. Teams with those requirements move to providers that expose an API endpoint. There is no self-hosted or bring-your-own-model option, so if your data policy requires that conversations and uploaded files never leave your own infrastructure, this platform fails that requirement on day one — and the switch is to an open-source alternative like Ollama or a self-deployable stack. The free tier is a starting point with explicit upgrade paths to paid features, meaning some capabilities you evaluate during signup are not available at zero cost in production use.	Any AI tool that does not implement MCP cannot call get_context and receives no context at all — teams whose primary tools lack MCP support get zero benefit from the daemon, and at that point they are back to manual context pasting or switch to a tool with a native memory feature built into the vendor's platform. The profile is only as accurate as the history you can import; the page names Claude exports, Claude Code sessions, and git repos as sources, so workflows living in other tools — Slack threads, Jira tickets, proprietary IDEs without export — contribute nothing until an import path exists for them. Running a persistent local daemon adds a process to maintain across machine restarts and OS updates; teams on locked-down corporate machines or shared development environments without npm global install rights hit a setup wall before the tool does anything useful.

Bottom line

Corino AI is paid while Persnally is free; Persnally is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Corino AI and Persnally?

Corino AI is Paid, while Persnally is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Corino AI better than Persnally?

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.