What's the best AI for long-term memory in 2026?

There is no single 'best.' For in-app memory tied to one model, ChatGPT Memory is the most mature; for project-scoped persistence, Claude Projects is cleanest; for a memory layer that survives model swaps and works across providers, a dedicated tool like Konshus or a personal context doc is the only durable answer.

How is long-term memory different from context window?

Context window is what the model holds in one chat (the conversation buffer). Long-term memory is what survives between chats. A model can have a huge context window and almost no long-term memory — Gemini 2.5 Pro is a good example: it can swallow a million tokens in one session, but it will not remember you next week.

Can I trust an AI to remember sensitive information?

Only if you can answer four questions clearly: where is it stored, who can access it, can you delete it for real, and is it being used to train the underlying model? If any of those is unclear or unfavorable, don't store anything sensitive there — including for the big consumer providers.

Ranking · 9 min read · June 2026

The Best AI With Long-Term Memory in 2026

We tested every major AI assistant and dedicated memory tool on five axes: recall accuracy, portability, cross-provider support, your level of control, and price. Here are the five that matter, scored honestly — including a tool we make ourselves, with its real weaknesses listed.

Konshus

Dedicated memory vault + portable persona that survives model swaps.

recall

portability

Cross-provider

control

price

Pros

Works across ChatGPT, Claude, Gemini, MCP clients
Full export on every tier
Encrypted at rest, no training use

Cons

Newer product (2026)
Requires setup vs in-app toggle

Best for: Heavy users, multi-model workflows, anyone whose AI history has real ongoing value.

Deeper writeup →

ChatGPT Memory

OpenAI's built-in feature — most mature, most capped.

recall

portability

Cross-provider

control

price

Pros

Auto-learns from conversations
Zero setup
Free tier included

Cons

~few hundred item cap
OpenAI-only
Silent overwrites

Best for: Casual ChatGPT-only users who don't need cross-provider continuity.

Deeper writeup →

Claude Projects

Curated, project-scoped context — clean but narrow.

recall

portability

Cross-provider

control

price

Pros

Explicit and editable
Project-scoped is great for work
No silent surprises

Cons

Doesn't auto-learn
Claude-only
Manual maintenance

Best for: Knowledge workers running multiple scoped projects in Claude.

Deeper writeup →

Personal context document

A doc you paste into new chats. Free, portable, manual.

recall

portability

Cross-provider

control

price

Pros

Free and yours forever
Works with every model
Total control

Cons

Friction every new chat
No auto-learn
Easy to let go stale

Best for: People who want zero dependencies and don't mind the friction.

Gemini Saved Info

Massive context, weak persistence.

recall

portability

Cross-provider

control

price

Pros

1M+ token context in one chat
Strong with documents

Cons

Saved-info list is tiny
Google-only
Opaque retention

Best for: Single-session deep work; not durable continuity.

How we scored

Recall accuracy — how well the tool surfaces relevant past context when it matters.
Portability — can you actually export everything in a usable format, today, for free?
Cross-provider — does the memory follow you to other AI tools or stay locked in?
Control — can you see, edit, and delete what's stored, with an audit trail?
Price — value relative to what you get; free tiers count.

Never lose your AI again

Konshus is one way to solve this — a persistent memory vault and portable persona that follows you across ChatGPT, Claude, Gemini, and whatever ships next.

Meet Konshus

Frequently Asked Questions

Never lose your AI again

Konshus is one way to solve this — a persistent memory vault and portable persona that follows you across ChatGPT, Claude, Gemini, and whatever ships next.

Meet Konshus