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Understand what “shared memory” means
There are two different goals that are easy to confuse:
- Persistence within one product: an assistant retains selected information between chats or sessions within that product or environment.
- Sharing across products: separate assistants can read from, and possibly update, a common store.
A feature described as memory does not, by itself, make its contents available to another assistant. For example, ChatGPT web memory and local Codex memory are separate systems, not one automatically synchronized memory (OpenAI’s ChatGPT Memory FAQ; Codex memory documentation). Confirm the exact app, client, account, and integration each assistant supports before choosing a setup.
Choose what assistants should remember
Store concise, durable information that will help across future work, such as response preferences, project conventions, settled decisions, and links or paths to authoritative documents. Avoid treating a memory file as a complete archive of every conversation. Important facts that change should point to a current source of truth, rather than relying on a possibly stale summary.
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Keep secrets, passwords, API keys, and other credentials out of memory. Decide in advance who can access the information, which assistants can write to it, where it is stored, and how you will remove copies when no longer needed.
Pick the setup that matches your assistants
| Approach | Who can use it | What to know |
|---|---|---|
| Product-managed memory | The specific product and supported clients | Convenient for personalization within that product; do not assume it is portable to other assistants. Controls and availability may vary by plan, platform, region, and workspace (OpenAI Memory FAQ). |
| Local files | Clients with a supported route to the files | Can be reviewable and user-controlled, but each assistant needs access to the location. Codex local memory is separate from ChatGPT web memory and is off by default in the documented setup (Codex memory documentation). |
| Developer-managed shared store | Agent applications configured to use that store | Offers a way to persist context across sessions, but requires developer setup and does not imply automatic synchronization with consumer assistants. Claude Managed Agents and the OpenAI Agents SDK document distinct approaches (Anthropic memory documentation; OpenAI Agents SDK memory documentation). |
A shared folder, repository, or service can serve as a common store only if every intended client has a supported way to read it. If some clients can write, define how changes are reviewed and reconciled. A folder that one assistant can access is not automatically available to the others.
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Set up memory within a single product
ChatGPT
- Open Settings > Personalization > Memory and review the controls available to your account. The labels and availability can vary.
- Review saved memories separately from chat history. They are different: deleting a chat alone does not necessarily delete a saved memory.
- Use the available controls to review or remove information you no longer want retained. For full removal, OpenAI says you may need to delete both the saved memory and the chat where you first shared it, as well as copies in files or connected apps (OpenAI Memory FAQ).
Codex local memory
Codex local memory is distinct from ChatGPT’s web memory. OpenAI’s documentation says local Codex memories are off by default, are stored under ~/.codex/memories/, and can be controlled through supported settings or the /memories command in supported clients. Enable and manage it only if your client exposes those controls; do not assume the setting exists in every Codex environment (Codex memory documentation).
Claude Managed Agents
For developers using Claude Managed Agents, sessions start with fresh context by default. A workspace-scoped memory store can provide cross-session persistence through text documents an agent can read and write. Store changes create immutable versions. This is a developer/platform feature, not an automatic bridge to ChatGPT or another assistant (Anthropic memory documentation).
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Build cross-product sharing with a common store
- List each assistant and client. Distinguish consumer web or mobile apps from developer tools and agent APIs. Verify access for the actual client, not just the product name.
- Create a concise, human-readable memory. Use plain text or Markdown for preferences, project conventions, current decisions, and pointers to authoritative files. Keep changing facts linked to their current record.
- Connect each client using a supported method. A shared folder, repository, or service is useful only when each assistant can read it through a supported integration. If a client cannot access the store, it cannot participate in the shared setup.
- Set read and write permissions. Choose which clients can only read and which can edit. Keep backups or a version history where possible, and decide how conflicts and outdated entries will be handled. Claude Managed Agents’ immutable versions are one documented example; other stores may not provide equivalent history.
- Test with a harmless preference. Add a non-sensitive fact, ask each intended assistant to retrieve it, change or remove it, and check whether the updated state is visible where expected. Test each client and permission path separately before relying on the setup.
- Test removal across copies. Remove the fact from the shared store and check for copies in chats, local files, or connected apps. A memory feature may retain related information separately from the shared file.
The cited official documentation describes product-specific memory, local Codex files, and developer-managed stores; it does not establish a single no-code consumer setup that synchronizes all assistants.
Know the limits of remembered context
Memory is a convenience, not a guaranteed source of truth. OpenAI notes that ChatGPT’s memory summary may omit details and that it searches for relevant context rather than every time. For important or changing information, point to the current source and review memory notes for conflicts or outdated entries (OpenAI Memory FAQ).
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Memory can also hold sensitive content. OpenAI warns that sensitive information may appear in ChatGPT Memory, and the Agents SDK notes that saved conversation files can include user input, assistant and tool items, interruptions, and final outputs. Choose an appropriate store and retention policy for sensitive workloads; do not assume a conversation file contains only deliberate memory notes (OpenAI Memory FAQ; OpenAI Agents SDK memory documentation).
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to expect from cross-session memory
Anthropic’s April 23, 2026 company case study says Wisedocs used Claude Managed Agents cross-session memory in document verification and reports verification was sped up 30%. That is a vendor-published result from one company’s use case, not an independent estimate of typical benefit for other users or workloads (Anthropic’s Wisedocs case study).
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