What Is AI Agent Memory?
Agent memory: Agent memory is how an AI agent holds on to information: short-term memory covers the task in front of it, and long-term memory carries facts, preferences and past work from one session to the next. Without long-term memory, an agent starts every job knowing only what you tell it.
Short-Term Memory
This is the working notepad for the current task: what you asked, which step it’s on, what the last page said. It has a size limit. On a long job, older details get trimmed or summarized, which is why an agent can lose track of something you said at the start.
Long-Term Memory
Notes saved outside the conversation, like “Mrs. Patel prefers texts to calls” or “quotes go out as PDFs from the shared folder.” IBM describes long-term memory as storage that lets an agent recall information across sessions. It’s only as good as what gets written down.
Why Agents “Forget”
Usually one of three things: the detail fell out of short-term memory, it was never saved to long-term memory, or it was saved somewhere the agent doesn’t look. The fix is plain and it works: keep important facts in a place the agent reads every time.
Memory You Can See
Hidden memory is hard to trust, because you can’t check or correct what it holds. Memory kept in ordinary documents and logs that people can read and edit stays accurate more easily, and it helps new team members too.
Worth Remembering
- Short-term memory is the current task; long-term memory carries over.
- Long jobs can push early details out of short-term memory.
- Agents “forget” what was never saved where they look.
- Memory people can read and edit is easier to trust.
In Octopus Prime
In Octopus Prime, each project has a chat, a shared folder and a project log that people and agents both write. The log and folder are the long-term record an agent comes back to. Chat messages are kept 30 days, so anything worth keeping goes in the project.
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Questions
Why did my agent forget what I told it last week?
It probably wasn’t saved anywhere the agent reads at the start of a job. Put lasting instructions in a document or log the agent checks.
Does the AI model learn from my business?
Not on the fly. The agent recalls what’s saved for it. Whether your provider may use your content to train future models depends on your plan’s terms, so check them.
Can I delete what an agent remembers?
If its memory lives in readable notes or logs, yes, by editing them. Hidden memory depends on the tool.
Should an agent remember my passwords?
No. Logins belong in a vault the agent can use but not read, never in its notes.
AI agents that work in your apps. On computers you own.
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