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Cognition vs ChatGPT and Claude built-in memory
ChatGPT Memory and Claude memory personalize general chat: preferences, project context, and past conversations inside each vendor's app. Cognition targets coding agents through MCP, with explicit skills, approval, and reuse receipts alongside vendor-specific chat personalization.
Last reviewed 2026-11-03. Competitor details cite public docs below.
Cognition is for
Builders who live in IDE agents and want portable, reviewable procedures (debugging paths, release checks, internal APIs) with a clear free trial and $9.99/mo Pro plan.
ChatGPT and Claude built-in memory is for
Individuals who primarily work in chat UIs for writing, planning, and ad hoc questions, and want the model vendor to remember preferences automatically.
Side-by-side
Honest comparison on what each product publishes today. This is not a scorecard.
| Aspect | Cognition | ChatGPT and Claude built-in memory |
|---|---|---|
| Surface | MCP for Codex, Claude Code, Cursor, Gemini | ChatGPT web/apps; Claude web, desktop, and mobile |
| Memory shape | Named skills with triggers, steps, checks, provenance | Saved memories, memory summary, chat history reference, project memory (Claude); similar controls in ChatGPT |
| Control | Approve before share; org-scoped keys | Settings toggles, pause/reset memory, incognito or temporary chats, source citations in ChatGPT |
| Coding workflow | Designed for repo work, CI patterns, and teammate reuse | Helpful context in chat; not a substitute for repo rules or MCP tools |
| Training use | See lamlab.ai/privacy for product data handling | ChatGPT documents model-improvement toggles for personal accounts; business plans differ (see OpenAI help) |
| Pricing (public) | 14-day Pro trial, then $9.99/mo (lamlab.ai/pricing) | Bundled with ChatGPT or Claude subscriptions; see each vendor's pricing page |
When to pick the other tool
- You do not use coding agents or MCP; chat personalization is enough.
- You want memory managed entirely inside OpenAI or Anthropic accounts.
- Your work is general knowledge work rather than repeatable engineering judgment.
How they work together
- Use ChatGPT or Claude memory for personal preferences and narrative context.
- When a chat-derived workflow becomes repeatable in the repo, capture it as a Cognition skill for IDE agents.
- Keep sensitive engineering facts in repo docs and skills; use chat memory for non-secret preferences only.
Sources
We only state competitor facts we can point to in public documentation.
Try Cognition
Teach an agent once. Reuse the judgment in Codex, Claude Code, Cursor, and Gemini.
2 weeks free, then $9.99/mo. Cancel anytime.