Your Phone Is Now an Inbox for Your AI's Memory
The Hjarni apps are live on the App Store and Google Play. Free, on both. Capture a note in ten seconds on your phone, and the Claude or ChatGPT you use at your desk reads it in the next conversation.
Posts tagged Second brain
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Never Lose Your Startup's Knowledge
Learn how startups avoid information loss by using Hjarni's shared knowledge base.
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