I use a lot of AI tools, but Recall is one of the very few browser extensions that has stayed installed and become part of my everyday workflow. It turns everything I read, watch, and listen to into an AI knowledge base that I can actually use inside ChatGPT, Claude, and Gemini.
That is the real advantage. Most AI assistants only know what is inside the current conversation, your limited chat history, or the open web. They do not automatically know the YouTube videos you researched, the podcasts you saved, the PDFs you read, the articles that changed your mind, or the notes you made along the way.
Recall gives them that context. For anyone dealing with a constant flow of content, research, ideas, and information, it can save a ridiculous amount of time.
The AI extension I use every day
I go through roughly 10 to 15 hours of research and content every week just to stay current on AI, social media, productivity, business, and the things my audience cares about. That includes long podcasts, YouTube videos, articles, PDFs, social posts, and more.
The problem is not that there is a lack of information. The problem is that there is too much of it, and most of it disappears into browser tabs, bookmarks, half-finished notes, and โI know I saw that somewhereโ moments.
Recall solves that by helping me:
- Save YouTube videos, podcasts, PDFs, articles, Reddit threads, X posts, and webpages in one click.
- Generate concise or detailed summaries from saved content.
- Get a searchable transcript with timestamps for video sources.
- Automatically organize sources with tags and connections.
- Chat with individual sources or my entire personal knowledge base.
- Use multiple AI models, including GPT, Claude, Grok, and DeepSeek.
- Bring my saved knowledge directly into assistants such as Claude through MCP.
This is why I think of Recall as an AI second brain. It is not just a summarizer. It is a place where the content you consume becomes useful context later.
What Recall is (and what it isn’t)
Recall, available at recall.it, is an AI browser extension and personal knowledge base. It works with Chrome, Safari, and Firefox, with mobile apps available for iPhone and Android.
When you save a source, Recall processes it, creates a summary, makes the content searchable, and adds it to your knowledge base. From there, you can ask questions about that source, compare it with other sources, save notes, generate quizzes, create connections, and use the material as context for AI work.
It is important to be clear about what this is not.
- It is not Microsoft Recall. This is not the Windows screenshot feature.
- It is not Recall.ai. It is not a meeting recorder.
- It is not only a YouTube summarizer. You can capture a much broader range of content and retain it for future research.
- It is not just another note-taking app. Notes are part of it, but the larger point is connecting your saved knowledge to AI.
If all you need is a quick summary of one article once in a while, you may not need a full knowledge base. But if you want every useful thing you consume to become retrievable, connected, and available to your AI assistants, this is where Recall becomes incredibly useful.
Install & setup walkthrough
Getting started is very straightforward. Open Recall, sign in, and go to the area for apps and extensions. From there, install the browser extension for Chrome, Safari, or Firefox. You can also use the iOS or Android app if you prefer to save material from your phone.
Once it is installed, I strongly recommend pinning the Recall extension to your browser toolbar. That tiny step makes a big difference because saving something becomes frictionless. Find a useful video, article, or PDF, click Recall, and it is captured.
The general workflow looks like this:
- Open a piece of content you want to keep.
- Click the Recall browser extension.
- Allow Recall to process and save the source.
- Choose a concise or detailed summary when needed.
- Add notes, questions, or the source itself to a notebook.
- Return later to search, compare, or chat with that information.
Recall can also automatically tag saved content. My own knowledge base quickly developed categories around social media, productivity, education, economics, health, and knowledge management without forcing me to build an elaborate database first.
That matters. A knowledge system is only useful if you actually use it. Recall starts capturing on day one instead of making you spend hours setting up templates, folders, properties, and databases.
One-click YouTube & podcast summaries
The YouTube and podcast workflow is one of my favourite parts of Recall. Open a video, click the extension, and Recall can transcribe it, create a summary, and turn it into something you can interact with.
You can use a concise summary when you need the key points quickly, or a detailed summary when you want more context. The detailed version can include timestamps, which is huge when you want to confirm where a claim was made or jump directly to a specific part of a long video.
You can also ask direct questions such as:
- What was the speakerโs biggest mistake?
- When did they discuss Airtable?
- What were the key strategic takeaways?
- What evidence supports this point?
Recall returns an answer from the saved source and can point you to the relevant placement in the material. Instead of scrubbing through an hour-long episode trying to find one sentence, you can go straight to the useful part.
The same approach works beyond video. For an article about the federal funds rate, for example, you can ask Recall to explain it at a beginner level. You can even use a prompt like โexplain this like I am three years oldโ and get a much simpler explanation, then save that explanation into a notebook.
There is also a text-to-speech option for listening to saved content. Settings allow you to adjust language, voice, and even add a custom voice. It is a nice option when you want to revisit research away from the screen.
Use case 1: turning long content into something usable
I love long-form podcasts, but I do not always have 75 minutes available for every episode. The All-In Podcast is a perfect example. It can be full of useful discussion, but it is also long, and I have channels to run, work to do, and a family to prioritize.
Rather than skipping it completely, I save it in Recall and generate a concise summary. Within moments, I have the key sections and important takeaways without losing the overall context.
Then I can move from consuming content to actually using it.
For example, after saving a podcast covering AI competition, I can ask how the discussion might affect ChatGPT, Anthropic, or Claude. Recall can use the source and, if I enable it, web information as well. The output can surface themes such as:
- Market consolidation and pricing pressure.
- Talent acquisition and the AI brain drain.
- Infrastructure versus model development.
- Potential disruption across SaaS and no-code businesses.
- Global competition and strategic implications.
Once those takeaways are in my notebook, I can turn them into content ideas. I might ask for three short video concepts, each with a title, hook, script, description, and relevant social tags. The important thing is that the ideas are grounded in research I have already saved, not generated from thin air.
This is how I turn a long podcast or video into useful building blocks for scripts, posts, research briefs, and future ideas. The time savings are obvious, but the bigger win is that valuable information does not disappear after I finish consuming it.
Save your thinking, not just the source
Recall is more useful when you add your own notes alongside the content. If I am reading something about interest rates, I might note that I want to monitor changes and understand how they could affect my portfolio.
Those notes sync with the web app and are fully editable. You can format them, create headings, build journals, and keep your own interpretation next to the original source. That turns a collection of links into a more personal research system.
Use case 2: chatting across your entire knowledge base
The global chat is probably the most underrated feature. Instead of chatting with one video or one article at a time, you can ask questions across everything you have saved.
You can choose where answers come from:
- Recall only: Answers use your saved sources.
- Web only: Answers use web information.
- Recall plus web: Answers combine your knowledge base with the broader web.
You can also narrow the context to specific tags, sources, or uploaded materials. That gives you much more control over the type of answer you get.
For example, I can ask: โBased on every video, PDF, and article I have saved about TikTok growth, what five strategies show up consistently?โ Recall can search across relevant saved cards, including articles and videos, then identify patterns across the collection.
That is much better than manually reopening ten tabs and hoping I remember what each one said.
An even more valuable question is: โWhat are articles discussing that the videos are not talking about?โ That lets me find gaps between formats and sources. For content creation, this is incredibly powerful. You want to cover topics people care about, but you do not want to repeat the exact same talking points everyone else is using.
From there, I can ask what knowledge gaps remain elsewhere on the internet that may be valuable to cover. Now I have:
- The themes that overlap across my research.
- The ideas some sources cover while others miss.
- Potential gaps worth researching further.
Recall also provides source references, so I can understand where the information came from. That is a major part of making AI useful. Personal context should make answers more relevant, but you still need a way to trace the reasoning back to the saved material.
You can switch models based on the task as well. Maybe you prefer one model for research, another for writing, and another for scripts. On the Max plan, you can even change the model and ask the same question again to compare answers.
You can create personas too. A โResearch Assistantโ persona could have instructions for tone, expertise, and answer format. Or you could build a writing assistant that follows your own style and preferences. That makes the system feel much more tailored to how you work.
Use case 3: connecting Recall to Claude with MCP
Recall also has an MCP server, which makes it possible to connect your personal knowledge base directly to AI assistants such as Claude and ChatGPT.
MCP, or Model Context Protocol, is what allows an assistant to access a connected tool or knowledge source. In this case, it means Claude can use your Recall library as part of its work.
To connect Recall to Claude, copy the MCP connection information from Recall. In Claude, open Customize, go to Connectors, select Add, then choose Add Custom. Add Recallโs MCP details, confirm the connection, and complete the account verification process.
Once it is connected, you can use Claude with both your existing workflows and your saved research.
For example, if you have a YouTube script skill or prompt format set up in Claude, you can ask it to pull everything in Recall related to the TikTok algorithm and write a script in your format. Claude can retrieve the relevant cards from Recall, use your saved context, and create an output based on that material.
This is a major step beyond uploading a few files into a one-off chat. Your research library becomes portable context that can travel into the AI assistant you prefer.
And you are not stuck with one model ecosystem. You can connect Recall to Claude, use it with ChatGPT, and work with other AI assistants rather than rebuilding your knowledge base every time you switch tools.
Recall vs summarizers, Obsidian, NotebookLM & Notion
Recall is not trying to be identical to every productivity or AI research tool. It stands out because it replaces several separate steps with one connected system: capture, summarize, notes, knowledge base, and chat.
Recall versus a YouTube summarizer
A standard YouTube summarizer can summarize one video. That is useful, but it is usually where the workflow ends. Recall keeps the video, organizes it, connects it with your other saved material, and makes it searchable and chat-ready later.
Recall versus Obsidian, Evernote, and web clippers
Tools such as Obsidian, Evernote, and web clippers can save pages and notes. But saving a page is not the same as automatically summarizing it, tagging it, connecting it to related sources, and allowing you to chat across everything you saved.
Recall is especially useful if you want less manual organization and more immediate retrieval.
Recall versus Claudeโs browser extension
Claudeโs browser capabilities can help you work with the page currently in front of you. Recall is built around a larger library. It can work with the things you have saved over time, rather than only the current page.
It also gives you model flexibility. You are not limited to Anthropicโs models for every task.
Recall versus NotebookLM
NotebookLM is great for project-based research. But its information lives within notebooks, which can make knowledge feel siloed. It also keeps you within Geminiโs model ecosystem.
Recall is better suited to ongoing learning. You can keep building one evolving knowledge base from the content you encounter across the web, then query that collection using different models.
For more AI research workflow ideas, explore this guide to NotebookLM alternatives and this look at Recallโs AI Editor.
Recall versus Notion
Notion is a powerful workspace, but it usually requires setup. You need to create databases, templates, structures, and systems before it becomes useful for knowledge management.
Recall begins with capture. You save something useful, it is organized for you, and you can start asking questions. It also includes a block-style notebook experience for notes and journals, so you can still develop ideas inside the tool.
The augmented browser feature
One more feature worth mentioning is Recallโs augmented browser. When enabled, it can highlight entities and references that you have encountered before while browsing.
If you are researching the TikTok algorithm and open another article, Recall can surface related connections from your saved knowledge. The same can happen across a series of YouTube results. It becomes much easier to see when a concept, company, topic, or reference has appeared elsewhere in your research.
The key privacy detail is that this feature is local. Content is only explicitly saved when you choose to save it.
Recall is free to start, with an unlimited option available for people who want to build a larger system around it. If your goal is to give ChatGPT, Claude, and Gemini better answers based on what you have actually read, watched, and listened to, this is one of the most practical AI extensions I have found.
Categories: AI Tools, Knowledge Management, Productivity, AI Research
Tags: AI second brain, AI knowledge base, Recall, ChatGPT, Claude, Gemini, YouTube summarizer, AI Chrome extension, NotebookLM alternative
Try Recall, start saving the research you would otherwise lose, and build an AI knowledge base that gets more useful every time you add to it. If this workflow helps you, share it with someone who has too many tabs open and not enough time.
Frequently Asked Questions
What is an AI second brain?
An AI second brain is a personal knowledge base where you save what you read, watch, and listen to, then use AI to summarize it and answer questions from your own sources. Recall builds this type of knowledge base from content you save through your browser and apps.
What does the Recall extension do?
Recall saves and summarizes YouTube videos, podcasts, PDFs, articles, and other web content. It organizes saved material into a knowledge base that you can chat with using AI models such as ChatGPT, Claude, Gemini, Grok, and DeepSeek.
Is Recall free?
Recall is free to start. An unlimited plan is also available for people who want expanded use of the platform.
Which browsers does Recall support?
Recall supports Chrome, Safari, and Firefox as a browser extension. It also offers apps for iPhone and Android.
Can Recall connect to Claude?
Yes. Recall has an MCP server that can connect your saved knowledge base to Claude, allowing Claude to retrieve relevant Recall sources as context for tasks such as research and script writing.
Is Recall a NotebookLM or Notion alternative?
Recall can work as a lightweight alternative for people who want to capture web content, automatically organize it, and query it with multiple AI models. NotebookLM is useful for project-based research, while Notion is a broader workspace that typically requires more manual setup.
