What should I test in AI memory and retrieval tools?

QUICK ANSWER

Test retrieval quality on your own information, including access restrictions and outdated documents. Confirm deletion, retention, indexing updates, embedding costs, and how the application handles missing evidence.

What to do next

Write down what you need

Choose one task you need help with. Connect AI agents to persistent context, knowledge graphs, and vector retrieval. Note who will use the tool, what a good result looks like, and anything it must connect to.

Try the same task in each tool

Pick two or three options and give them the same example. Try a normal task and a difficult one. Record the result, any corrections, and how much time the work takes.

Check the cost and important limits

Ask specific questions before paying. For Letta: Test retrieval quality, deletion behavior, access boundaries, and retention. Compare hosting and embedding costs for your data. Check the same requirements with the other options, including access, exports, and the price of the plan you need.

Useful tools to explore

Open a profile for more detail, or check the vendor’s current plans.

Letta

Developers building grounded assistants with persistent context and retrieval.

Mem0

Developers building grounded assistants with persistent context and retrieval.

Zep

Developers building grounded assistants with persistent context and retrieval.

Before you decide

  • Use your own example instead of relying only on a demo.
  • Ask the people who will use the tool to try it.
  • Check the full cost, including extra users and add-ons.
  • Make sure you can export your work if you leave.
Keep in mind

A long feature list does not show how well a tool works for your task. Choose using the results of your own test.

A LITTLE FEEDBACK GOES A LONG WAY

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