How to Build a Second Brain ChatGPT Can Actually Use
A second brain for ChatGPT is a knowledge base it can search and update in every conversation. Here's what to put in it, how to connect it in five minutes, and why built-in memory isn't enough.
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ChatGPT's memory is full. Here's how to fix it.
Seeing the ChatGPT memory full notice? Here's how to clear space in two minutes, what deleting memories actually does, and how to stop the important stuff from living in a buffer that overflows.
Hjarni Is Now in the Claude Connectors Directory
Hjarni is live in the Claude Connectors Directory. One click to connect. Your notes, your AI's memory.
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An LLM wiki CLAUDE.md template: the schema, an annotated example, and a copy-paste file
A copy-paste CLAUDE.md for the Karpathy LLM wiki pattern: the schema, an annotated example wiki page, and the rules that make an agent maintain it. Works in Claude Code, with Obsidian or Logseq, or hosted over MCP in Hjarni.
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Mem0 vs Supermemory vs Hjarni: AI Memory Compared (2026)
Mem0 and Supermemory are memory APIs for developers. Hjarni is a knowledge base your AI can read. How they store memory, what they cost, when to pick each.
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Karpathy's LLM Wiki is right. I just didn't want to run it locally.
Andrej Karpathy's LLM wiki gist nails it. Stop dumping documents at LLMs. Build a brain. Hjarni hosts it over MCP, in Claude and ChatGPT, on every device.
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Google Described the Format Hjarni Already Speaks
Google Cloud's Open Knowledge Format (OKF) is folders of Markdown that AI agents can read. What the spec covers, why it matters, and how to export to it.
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Best MCP Memory Servers in 2026: 7 Options Compared
An honest roundup of the best MCP memory servers in 2026. Hjarni, Mem0, Supermemory, Zep, Letta, Basic Memory, and the official knowledge graph server compared.
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How to Build a Second Brain ChatGPT Can Actually Use
A second brain for ChatGPT is a knowledge base it can search and update in every conversation. Here's what to put in it, how to connect it in five minutes, and why built-in memory isn't enough.
ChatGPT's memory is full. Here's how to fix it.
Seeing the ChatGPT memory full notice? Here's how to clear space in two minutes, what deleting memories actually does, and how to stop the important stuff from living in a buffer that overflows.
Hjarni Is Now in the Claude Connectors Directory
Hjarni is live in the Claude Connectors Directory. One click to connect. Your notes, your AI's memory.
How to Save Travel Preferences for ChatGPT and Claude
Every AI trip plan starts by re-explaining how you travel. Write the preferences down once, where both ChatGPT and Claude can read them every time.
Build a Personal CRM Claude and ChatGPT Can Read
Your assistant infers things about the people in your life. A personal CRM makes that memory something you wrote, can check, and can take to any assistant.
Meal Planning With ChatGPT That Uses Your Own Recipes
Ask an AI for a meal plan and you get recipes nobody has cooked. Give it the ones you already make well, and you get a week you will actually eat.
Shared Team Memory for Claude Code: What Works Today
Claude Code memory is per-person. Your team's context is not. Here is how to give every engineer's Claude Code session one shared, versioned memory over MCP.
Your Client Will Edit the Prompt. Plan for It.
Handing a client the source code and prompt strings is not a handoff. They will edit the prompt, it will break, and you will get the 8 PM text. Ship the bundle instead: an eval suite, a shared source of truth, and a change trail.
Can Claude edit my notes, or only read them?
Most AI memory tools only let the model read. Hjarni lets Claude and ChatGPT edit too: insert a line, fix a bullet, or delete a stale snippet without rewriting the whole note. Here's how surgical, conflict-safe editing works, and why writing back matters more than reading.
The Team Second Brain
A second brain is personal. In the AI era, teams need a shared one: notes each teammate can connect to their own Claude or ChatGPT. Here's what that looks like.
The Team Knowledge Base for Claude and ChatGPT
Your team already runs on an LLM wiki. It's just single-player. Here's how to build a shared knowledge base every teammate's Claude and ChatGPT can read.
Onboard New Hires With an AI That Knows Your Runbooks
A new hire's AI starts from zero, so they ask a senior engineer instead. Give the whole team's runbooks to a shared knowledge base and their assistant answers on day one.
Claude Projects and ChatGPT Projects Don't Scale to a Team
Projects live inside one assistant, built for a focused task. A team needs shared context both Claude and ChatGPT can read. Here's the gap, and what closes it.
Context engineering is not just for AI teams. It is what your notes should do for you.
AI teams obsess over feeding the model the right context at the right time. You can do the same thing with your notes, so your AI pulls what it needs instead of you re-explaining yourself every session.
What Should Your AI Actually Remember?
Indexing session transcripts sounds like memory. It mostly retrieves scratch work. The useful stuff was already distilled into artifacts. Keep the artifacts.
Why Isn't Your AI Second Brain Working?
Most AI second brains fail because they dump too much into context. A useful AI memory uses retrieval, freshness, provenance, and short curated notes.
Who owns MCP now? Nobody. That is exactly why you can build your AI's memory on it.
Anthropic donated MCP to a vendor-neutral foundation backed by its biggest rivals. Here is what that means, and why it makes a knowledge base built on MCP a safe bet instead of a single-vendor gamble.
Using MCP as Your Second Brain
Using MCP as your second brain means keeping your notes in one place and letting any AI client read and write them over the Model Context Protocol. Here's the pattern, the reference architecture, and how to run it.
Long-Term Memory for AI Agents: The Knowledge-Base Pattern
AI agents forget everything between runs. The fix is a shared knowledge base they reach over MCP — read and write, human-readable, the same brain for every agent and every teammate. Here's the pattern.
Claude has a memory tool now. It is files on a disk. It still is not your knowledge base.
Anthropic gave Claude a memory tool that stores memories as plain files on a disk. That is the right shape. Here is the job it does, and the job it still leaves to you: a knowledge base your AI can read.
Combining multiple MCP servers: where memory fits
You can connect Claude to a calendar, a CRM, a repo, and more. None of them remember anything. Here's how to think about the stack, and where durable memory fits beside it.
Can Claude read my Notion, Linear, or Asana?
Some project tools now connect to Claude over MCP. But reading your tickets is not the same as remembering your decisions. Here's the difference, and where the memory layer goes.
Can Claude read my Gmail or Outlook inbox?
Claude can connect to Gmail and search your inbox. But a thread you can find again is not a decision you can rely on. Here's where the durable facts go.
Can Claude read my Salesforce or HubSpot CRM?
Claude can connect to your CRM and pull records and deal stages. But fields are not a relationship. Here's where the context behind the account goes.
Can Claude read my Google Calendar?
Claude can connect to your calendar and see your schedule. But a calendar tells it when you meet, not what you decided. Here's where the context goes.
An LLM wiki CLAUDE.md template: the schema, an annotated example, and a copy-paste file
A copy-paste CLAUDE.md for the Karpathy LLM wiki pattern: the schema, an annotated example wiki page, and the rules that make an agent maintain it. Works in Claude Code, with Obsidian or Logseq, or hosted over MCP in Hjarni.
Google Described the Format Hjarni Already Speaks
Google Cloud's Open Knowledge Format (OKF) is folders of Markdown that AI agents can read. What the spec covers, why it matters, and how to export to it.
Mem0 vs Supermemory vs Hjarni: AI Memory Compared (2026)
Mem0 and Supermemory are memory APIs for developers. Hjarni is a knowledge base your AI can read. How they store memory, what they cost, when to pick each.
The Best Ways to Give Your AI Memory (2026)
Six ways to give Claude or ChatGPT a memory in 2026, compared honestly. A knowledge base over MCP, built-in memory, projects, CLAUDE.md files, and more.
Best MCP Memory Servers in 2026: 7 Options Compared
An honest roundup of the best MCP memory servers in 2026. Hjarni, Mem0, Supermemory, Zep, Letta, Basic Memory, and the official knowledge graph server compared.
ChatGPT memory got an upgrade. It still is not a knowledge base.
OpenAI's 'Dreaming' upgrade makes ChatGPT remember more about you, automatically. Here is what it does well, and the job it still cannot do: be a knowledge base your AI can read.
How to run a literature review with Claude or ChatGPT, from your own notes
Point Claude or ChatGPT at your own notes to run a literature review from the papers you actually read, with citations you can check, not invented.
Your Notes Aren't Agent-Legible Yet
Context engineering made code legible to coding agents. Your notes need the same thing. Capture is solved. Legibility is the bottleneck.
Best practices for an MCP wiki
Eight rules for an LLM wiki your AI maintains over MCP: small notes, folders and tags that fit how you think, per-folder instructions, and summaries.
LLM wiki: Obsidian vs Hjarni
Running Karpathy's LLM wiki in an Obsidian vault versus a hosted knowledge base over MCP. What each one gives you, and an honest list of what you give up.
LLM wiki for Claude Code: the workflow
The daily Claude Code workflow for an LLM wiki, hosted over MCP instead of a local vault. Read context, write notes back, capture every session.
Is MCP dead? No. You're just pointing it at the wrong job.
The "MCP is dead" posts are right about a real problem and wrong about the cause. Forty-two always-loaded tools is a design smell, not a protocol flaw. Here's where MCP actually wins.
Generation is solved. Finding it again is the problem.
A chat log is a transcript, not a knowledge base. Generation got good. Retrieval is the part that is still broken. Here is why, and what fixes it.
Hjarni Web Clipper for Chrome
One click on any article saves a clean Markdown copy to your Hjarni inbox. The Chrome extension is live in the Web Store.
5 Ways to Automate Your Knowledge Base with ChatGPT and Zapier
Connect Hjarni to Zapier to capture from Slack, Gmail, Calendar, and forms automatically. Then let ChatGPT search and use all of it. Five concrete workflows you can build today.
What is a second brain? A guide for the AI age
A second brain is a place outside your head where you store everything worth keeping. Here's what it is, why it matters, and why AI changes what it needs to do.
How to Give GitHub Copilot Long-Term Memory (MCP Setup, 2026)
Connect a knowledge base to GitHub Copilot Chat via MCP so agent mode reads your architecture decisions and conventions. Full .vscode/mcp.json walkthrough included.
What to save in your AI knowledge base: 5 recipes
Five small workflows that turn Hjarni into memory for Claude and ChatGPT. Customer context, meeting notes, decision logs, a style guide your AI follows, and inbox leads handled while you sleep.
The AI meeting assistant that actually works with Claude
Most AI meeting tools transcribe. They don't help Claude remember what you decided. Here's how to give Claude and ChatGPT real meeting context via MCP.
LLM wiki vs. plain Markdown: when Karpathy's gist stops working
A plain Markdown file works for the LLM wiki pattern. Until it doesn't. Here are the five points where it stops working, and what to use instead.
What is a Second Brain? The AI-Native Take (2026)
A second brain is an external system for what you read, think, and decide. The traditional version is a graveyard. Here's what replaces it in 2026.
ChatGPT MCP: How to Connect Any MCP Server to ChatGPT (2026)
A practical guide to using MCP with ChatGPT in 2026. Two ways to connect, real examples, and the troubleshooting steps nobody mentions.
Connect Cursor to Your Knowledge Base with MCP
Connect Cursor to your knowledge base over MCP, step by step. Your decisions and project context follow you across sessions, not just the code Cursor indexes.
How to build an LLM wiki with Claude or ChatGPT and MCP
Connect Claude or ChatGPT to a hosted LLM wiki over MCP, no Obsidian and no terminal. A step-by-step setup you can finish in ten minutes.
Hjarni Is Now a ChatGPT App
Hjarni is live in the ChatGPT Apps Directory. One click to connect. Your notes, your AI's memory.
My Marketing Team Is Two AIs and a Knowledge Base
I run Hjarni's entire growth program from inside Hjarni itself. Two AIs, three folders, and a built-in MCP server. Here's the real loop, step by step.
Your Tools Do Too Much
Notion has 47 features you'll never touch. Obsidian needs plugins for everything. Both assume you want a system. You don't. You want to write something down, find it later, and let your AI read it too.
Give Your OpenClaw Agent a Brain with Hjarni
OpenClaw is powerful but context-blind. Connect it to Hjarni and your agent stops starting from zero.
Karpathy's LLM Wiki is right. I just didn't want to run it locally.
Andrej Karpathy's LLM wiki gist nails it. Stop dumping documents at LLMs. Build a brain. Hjarni hosts it over MCP, in Claude and ChatGPT, on every device.
Stop Explaining Your Codebase to Your AI Every Time
Your AI remembers a few facts about you, not your codebase. Here are five notes that fix that — so every conversation starts with context instead of from zero.
Never Lose Your Startup's Knowledge
Learn how startups avoid information loss by using Hjarni's shared knowledge base.
How to Give Claude Long-Term Memory (MCP Setup, 2026)
Connect a knowledge base to Claude or ChatGPT via MCP so it remembers your projects and decisions across conversations. Full setup walkthrough included.
Your AI Hit Its Limit. Your Knowledge Shouldn't.
Every AI conversation eventually resets. The real cost isn't the limit — it's re-explaining yourself every time. Your knowledge deserves a home you own.
I gave Claude access to my notes through MCP
I connected Claude to my notes via MCP. Setup took 2 minutes. Now every conversation starts with my project context already loaded — no pasting, no re-explaining. Here is what changed about how I work.
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