Basic Memory vs ChatGPT Memory
ChatGPT remembers facts about you inside ChatGPT. Basic Memory is a knowledge base you own, readable by you and every AI tool you use. They solve different problems. And they work well together.
ChatGPT remembers facts about you inside ChatGPT. Basic Memory is a knowledge base you own, readable by you and every AI tool you use. They solve different problems. And they work well together.
ChatGPT’s built-in memory has two parts: saved memories. A capacity-limited list of facts about you ("prefers Python", "lives in Austin"). And reference chat history, which lets ChatGPT draw on your past conversations. Both improve ChatGPT’s replies automatically, and both are vendor-bound: the saved-memory list caps out at roughly 1,200–1,400 words, you can only update entries by asking ChatGPT in chat (the settings panel is view-and-delete), and none of it leaves OpenAI. Basic Memory is a full knowledge base: complete notes with context and reasoning (50,000 notes per seat on Cloud), stored as Markdown files you own, connected in a knowledge graph that ChatGPT, Claude, Cursor, and any MCP client can all read and write. Keep ChatGPT memory on for conversational convenience; put the knowledge you actually want to keep in Basic Memory.
| Basic Memory | ChatGPT Memory | |
|---|---|---|
| What it stores | Full notes: decisions, research, reasoning | Saved facts about you + reference to past chats |
| Capacity | 50,000 notes per seat (Cloud); unlimited local | Saved memories cap at ~1,200–1,400 words |
| You can read it | Yes. Markdown files you own | A list in settings |
| You can edit it | Yes. Any text editor or the app | Indirectly. Ask ChatGPT in chat; settings is delete-only |
| Works across AI vendors | Yes. ChatGPT, Claude, Gemini, Cursor, any MCP client | No. ChatGPT only |
| Structure | Semantic knowledge graph with links | Flat fact list + raw chat history |
| Portable / exportable | Yes. Copy the folder | Data export request only |
| Cost | Free local; Cloud from $15/seat/month | Included with ChatGPT |
ChatGPT’s memory is designed to personalize ChatGPT, and at that job it is genuinely useful. Saved memories quietly extract facts from conversations and apply them later; reference chat history lets the model pull context from old conversations without you re-explaining. But the store is small and incomplete by design. Saved memories cap out at roughly 1,200–1,400 words, and once full, nothing new is saved until you delete entries. Corrections are indirect: you ask ChatGPT to update a memory in chat (which can leave the stale entry behind), because the settings panel only lets you view and delete.
Basic Memory is designed to hold knowledge: the full context of a project, the trail of how you reached a decision, research that spans months. Notes are written during your conversations (in ChatGPT via the Basic Memory connector, in Claude via MCP) and become part of a graph both you and the AI navigate. Ask "where did we land on the authentication approach?" and the answer comes from your own notes, not from a model’s reconstruction.
This is not either/or. Leave ChatGPT’s memory on for lightweight personalization. Connect Basic Memory (it works with ChatGPT through remote MCP connectors) for the knowledge you want to own, search, and reuse across every tool. Our docs cover the split in detail: Using Basic Memory with built-in AI memory.
There is also a one-way door worth knowing about: your existing ChatGPT history can be imported into Basic Memory as readable notes. See Import from ChatGPT. So years of conversations become a knowledge base you control.
Open source to run locally. Cloud from $15/seat/month with a 7-day trial.