Use cases

Memanto Python client: agent memory in ten lines

Memanto 0.2.28 ships a Python client so any agent gets persistent typed memory with one import: remember()/recall()/answer()/extract() plus point-in-time recall_as_of and recall_changed_since. Cloud (free tier) or on-prem Docker+Ollama; no vector store to provision. Loop pattern: recall before your LLM call, extract only the user’s turn after—connects to Claude Code/Cursor/Codex via memanto connect.