Memory Lab

See how an application stores information from one interaction, retrieves it in a later interaction, and compares stored memory with a current authoritative source when the two differ.

GuidedNo API keys in LabAI Agents

Choose an example

Select a measured Cookbook case, then view how memory is stored, retrieved, missed, or resolved against a current source.

No MemoryA notification preference is requested but nothing was stored for this scope. Lookup returns a miss and the answer does not invent a channel.StoreThe user provides a preference. The application validates and stores a scoped memory record with provenance.RecallInteraction 1 stores a preference. Interaction 2 retrieves it and the answer uses the recalled channel.Stale MemoryInteraction 1 stores a preference. Interaction 2 retrieves it, observes a newer current source, and prefers that source in the answer.

This Lab replays a measured Cookbook run; no API call is made.

Choose an example, then view the recorded Cookbook case.

Related Labs

Planning creates an explicit multi-step artifact; this Lab shows information that persists across interactions.

04 Planning05 Memory

Continue Learning

Guides that explain memory, loops, planning, and RAG.

Implementation

Run the measured Cookbook example locally.

Agent Memory Cookbook

Related Tools

Tools commonly used with agent memory runtimes.

Related Rankings

See how this stack compares in DataAIHub rankings.

Best AI Agent Frameworks

Lab ID agent-memory · guided / precomputed