Recall 2.0: The AI Personal Knowledge Base That Replaces Obsidian

Everyone Has the Same AI Now. So What's Your Actual Edge?

Intelligence got commoditized. Claude, GPT, Gemini. Everyone has access to the same models, the same superpowers. When the playing field is level, the differentiator isn't which AI you use. It's what that AI knows about you.

Your notes. Your bookmarks. Your research. The podcast you half-listened to last Tuesday. The PDF your coworker sent three months ago. All of it is scattered across a dozen apps, completely invisible to your AI. And that's the problem Recall 2.0 is trying to solve.

You may have seen Andrej Karpathy's viral tweet (20+ million views) about building an "LLM wiki" with Claude Code and Obsidian. The idea is brilliant: an AI that actually knows what you know. The execution? That's where it falls apart for most people. Weeks of tinkering, terminal configurations, markdown formatting, and troubleshooting when things inevitably break.

Recall 2.0 takes that same core idea and wraps it in something 95% of people can actually use without ever opening a terminal.

What Is Recall, Exactly?

Recall is one place where your knowledge and your AI live together. You save what matters. You write what you think. And over time, you build an AI that knows what you know.

It started as a personal knowledge base. Save a YouTube video, podcast, PDF, TikTok, or article, and Recall would auto-summarize it, tag it, and organize it. Useful, but not dramatically different from a smart bookmark manager.

Version 2.0 changes the equation. Your entire knowledge base now becomes fuel for an AI that can actually reason across everything you've ever saved. One chat that knows both the world and you. That's the pitch, anyway. Let's see if it holds up.

What's New in Recall 2.0

The update adds several features that move Recall from "nice note-taking app" to something closer to a personal AI context layer:

• Agentic chat. Talk to your knowledge base, the internet, or both simultaneously in a single query.
• Model choice. Pick between Claude, GPT, Gemini, or let it auto-select. NotebookLM locks you into Gemini with no way to switch, which has been one of the most common complaints since launch.
• API and MCP access. Connect your Recall knowledge base to any AI tool that supports MCP, including the official Claude and ChatGPT apps.
• Bulk actions. Mass summarize, tag, connect, and generate quizzes across content.
• Text-to-speech. Listen to summaries read back in a custom voice you create. Yes, your own voice. There's probably a memory retention study somewhere supporting this.

The MCP integration deserves its own callout. MCP is basically a universal plug that lets AI tools talk to each other. You click a button in Recall's settings, authorize it, and your personal context follows you into whatever AI tool you're already using. No API keys. No config files. If you use Claude all day for work, your Recall knowledge base just shows up there.

The Three Things That Actually Make Recall Different

1. It Builds Your Knowledge Base Automatically

Save a YouTube video. Recall summarizes it, tags it, and connects it to everything else you've ever saved. No folders. No manual filing. No markdown. No hierarchies to maintain.

This is where the Obsidian comparison matters most. Obsidian is powerful, but it demands that you do the organizing. You write the notes, create the links, maintain the structure. Recall does that work for you. The trade-off is less granular control, and that's a real trade-off. But for most people, the automatic organization is worth far more than the customization they'd never use.

2. You Choose Your AI Model

Claude, GPT, Gemini, or auto-select. This is a bigger deal than it sounds. Different models excel at different tasks. Claude is better at nuanced writing. GPT handles code well. Gemini has strong multimodal capabilities. Being locked into one model (looking at you, NotebookLM) means you're always compromising somewhere.

3. It Actually Works Everywhere

Web app, browser extension, mobile app. Save something from your phone in the car. Chat with it when you get home on your laptop. The redesigned browser extension opens as a split-screen panel next to whatever you're browsing, with a new "Open Current Page" button that reloads with whatever you're looking at.

This sounds basic, but it's where the Obsidian + Claude Code setup completely falls apart for non-technical users. Good luck accessing that from your phone.

The Knowledge Graph: The Part That Actually Surprised Me

Recall automatically builds a knowledge graph from everything you save. Every node is a piece of content. Every line is a connection it found between them. You didn't draw this map. You didn't create these links. Recall found them.

Topics you didn't realize were related show up connected. You can see which keywords are linking things together, how many other pieces of content share that keyword, and jump straight to every related thing you've saved. You can remove connections you don't want and add custom ones.

This essentially completes the interlinked knowledge wiki Karpathy described. Connections between ideas, a visual map of everything you know. Except you didn't write a single line of markdown or configure a single plugin.

Can It Actually Answer Questions No Other AI Can?

This is the real test. If you ask ChatGPT or Claude about that sleep podcast you listened to last month, they have no idea. They don't know what you've been reading and listening to.

Recall pulls the exact answer from your knowledge base with the source. And the small touches matter: there's a play button next to each source that takes you to the exact timestamp where something was mentioned. No scrubbing through a two-hour podcast to find one sentence.

You can also combine your knowledge base with internet search in a single query. Ask it to pull from everything you've saved and search the web for new information at the same time. It gives one unified response. If your saved content doesn't cover something fully, it fills the gaps from the web. And if you find something new in the chat worth keeping, you can save it as a new card without leaving the conversation.

Some example queries that show the value of this approach:

• "What did that sleep podcast say about melatonin timing? Find me the clip."
• "Condense my last 6 months of research and notes into references with timestamps, page numbers, and quotes. And see if any new studies are out."
• "Pick a movie for tonight based on everything I've loved this year."

These are questions no general-purpose AI can answer. They require your context.

The Full Feature Set

The quiz feature is worth highlighting. AI helps us consume more information, but it doesn't help us learn any of it. That still takes time and repetition. Recall generates quizzes from your content and uses spaced repetition to help you retain it. If you're saving content to learn from, not just hoard, this closes a gap most second brain apps ignore entirely.

Where Recall Falls Short (Honestly)

The Karpathy approach wins if you want total control over literally everything and you're comfortable in a terminal. Full customization of every instruction prompt, every file structure, every behavior. That's real. No argument.

Recall trades that control for convenience. If you're the type who wants to customize every single prompt and tweak every workflow, you'll feel constrained. The automatic organization is impressive but opinionated. It decides how to tag and connect things, and while you can override it, the defaults might not match your mental model.

And if you already have years of notes in Obsidian with a system that works, migrating is a real cost. (Though Recall does let you export everything in markdown if you ever want to leave.)

The Bigger Picture: Why This Matters Now

Three types of products are racing toward the same idea from different directions:

1. Chatbots adding memory. But it's just chat history. They remember what you asked, not what you know.
2. Memory layers. Trying to make context portable, but they're infrastructure, not products. You can't actually use them.
3. Note-taking tools bolting on AI. But they only know what you manually typed.

Each solves one piece. None solves the whole thing. Recall sits across all three. One product instead of three subscriptions. Whether it stays ahead as the big players catch up is an open question, but right now, it's the most complete version of this idea that's actually usable.

Trusted by over 500,000 professionals, including people at Stanford, NYU, LinkedIn, and Bloomberg, Recall is rated 8.2/10 by the Hypertools community. If you're looking for more tools like this, check out our latest curated tools or browse the Hypertools leaderboard to see what's top-rated right now.

FAQ

How good is Recall AI?

For what it's designed to do (saving, organizing, and chatting with your personal knowledge), it's the best standalone option available right now. The auto-summaries are accurate, the knowledge graph finds connections you'd miss manually, and the chat actually retrieves relevant answers from your saved content with sources and timestamps. It's not perfect (the auto-tagging sometimes makes odd choices), but it's better than any combination of tools I've tried for the same purpose.

How much does Recall AI cost?

Recall operates on a freemium model. You can start for free with core features. Paid plans unlock advanced capabilities like model selection, bulk actions, and MCP access. Plus is $12/month ($10/month if billed yearly). Max is $48/month ($38/month if billed yearly). Check Recall's website for the latest pricing details.

Is Recall AI free to use?

Yes, there's a free tier. It covers the basics: saving content, summaries, and some chat functionality. The premium features (multiple AI models, API/MCP access, bulk actions, advanced chat) require a Plus or Max plan.

Is Recall AI secure?

Recall uses standard encryption and security practices for a SaaS product. Your data is your data. And importantly, you can export everything in markdown at any time, so you're never locked in.

Who uses Recall AI?

Over 500,000 professionals, including people at Stanford, Harvard, NYU, Bloomberg, and LinkedIn. It's popular with researchers, content creators, students, and anyone who consumes a lot of information across different formats and needs it organized and queryable.

How do I cancel my Recall AI subscription?

You can manage and cancel your subscription directly from your account settings within the Recall app. No hoops to jump through.

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