Agent Memory
State an agent keeps beyond the current context window.
Aperçu
Agent memory is whatever an agent retains between steps or sessions - a scratchpad, a summary, a store it can search - because the context window is finite and the task is not. It solves the problem that an agent doing multi-step work exceeds what fits in front of the model. It exists as the reason long-running agents are mostly a retrieval problem with a model attached.
Graphe des technologies
Comment Agent Memory se rattache au reste de la pile.
Utilise et dépend de
- Embedding concept Techniques Agent Memory uses Embedding High ✓ source
- Context Window concept Models Agent Memory based on Context Window High ✓ source
Utilisé par
- Multi-Agent technique AI Agents Agent Memory used by Multi-Agent High ✓ source