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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Most AI literature reviews fail the same way: the model summarizes papers it half-remembers instead of the ones you actually read. Here is how to point Claude or ChatGPT at your own notes so it synthesizes your reading, with citations you can check.
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.
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.
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.
Connect a knowledge base to Claude or ChatGPT via MCP so it remembers your projects and decisions across conversations. Full setup walkthrough included.
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 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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Works with Claude and ChatGPT today.