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Guide Memory

AI memory for teams

Updated 3 min read

On this page7 sections
  1. What shared AI memory means
  2. Where team memory can live
  3. What Claude Code and ChatGPT share
  4. Administering memory settings
  5. Maintaining memory over time
  6. Where KnowMan fits
  7. Questions people ask

What shared AI memory means

Shared AI memory is information an assistant keeps between conversations and brings back when needed. Anthropic's memory tool lets Claude store and retrieve information across conversations in a directory of memory files (Anthropic docs). In Claude Code, memory and instruction files are loaded at the start of every conversation (Claude Code docs).

Claude Code treats these files as context, not enforced configuration (Claude Code docs). Anthropic also presents the memory tool as a way to build up a knowledge base over time (Anthropic docs).

Where team memory can live

With Anthropic's memory tool, your application holds the storage. The tool operates client-side: Claude requests file operations, your application runs them, and you control where and how the data is stored through your own infrastructure (Anthropic docs).

Deleting a conversation is not the same as deleting memory. OpenAI notes that deleting the original chat does not automatically delete a separate saved memory (OpenAI Help). Deletion and Memory updates can also take time to propagate, and logs of deleted saved memories may be retained for up to 30 days (OpenAI Help).

What Claude Code and ChatGPT share

Claude Code auto memory is machine-local. All worktrees and subdirectories within the same git repository share one auto memory directory, but files are not shared across machines or cloud environments (Claude Code docs). Project instructions take a different path: they are shared with your team through version control, and the guidance says to focus on project-level standards rather than personal preferences in these files (Claude Code docs).

ChatGPT Project-only memory draws a boundary too. Chats can reference other conversations in the same project, but not conversations outside it, and chats outside the project cannot reference conversations in it (OpenAI Help).

Administering memory settings

ChatGPT workspaces place memory under owner and admin control: workspace owners and admins can manage supported memory settings and role permissions (OpenAI Help). OpenAI also notes that memory features and controls can vary by plan, region, platform, and workspace settings (OpenAI Help).

With Anthropic's memory tool, safety checks sit in your own implementation. Anthropic requires implementations to validate every path in every command to prevent directory traversal attacks (Anthropic docs). A client-side implementation must also handle creating, reading, updating, deleting, and moving memory files (Anthropic docs).

Maintaining memory over time

Anthropic's memory tool supports creating, reading, updating, deleting, and moving memory files (Anthropic docs). Anthropic recommends tracking memory file sizes, capping how large a file can grow, and periodically deleting files that have not been accessed in a long time (Anthropic docs).

Retrieval happens on demand: rather than loading all relevant information up front, an agent records what it learns in memory files and reads them back on demand (Anthropic docs). ChatGPT memory does not retain every detail from every conversation, and what it uses can change as your context changes (OpenAI Help).

Where KnowMan fits

KnowMan is built for one person's library today (personal knowledge base guide). Team plans are not available yet.

For one reader's library, start with persistent memory for AI agents or giving your AI context. To connect an assistant, see the MCP server knowledge base guide.

Questions people ask

Can a team share ChatGPT memory?

Within limits. ChatGPT memory can draw on saved memories, past chats, custom instructions, saved files, and connected apps, depending on plan and region (OpenAI Help). Workspace owners and admins manage supported memory settings and role permissions, and Project-only memory keeps context inside its project (OpenAI Help).

Is Claude Code memory shared across machines?

No. Auto memory is machine-local, shared only across worktrees and subdirectories of the same git repository (Claude Code docs). Project instructions are the team-shared part, distributed through version control (Claude Code docs).

Who controls the data in Anthropic's memory tool?

Your application does. The tool runs client-side, so Claude requests file operations and your application executes them, with storage in your own infrastructure (Anthropic docs). Anthropic says this can support building up a knowledge base over time (Anthropic docs).

Does deleting a chat delete its saved memory?

Not automatically. OpenAI states that deleting the original chat does not automatically delete a separate saved memory (OpenAI Help). Deletion and Memory updates can take time to propagate, and logs of deleted saved memories may be retained for up to 30 days (OpenAI Help).

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