Long-Term Memory
Persistent state an agent carries between sessions.
/ quick answer
Long-term memory stores facts, preferences, and past interactions in a database (often vector + key-value) so the agent can recall them across sessions without stuffing them into every prompt. Persistent state an agent carries between sessions.
/ frequently asked
What is Long-Term Memory?
Long-term memory stores facts, preferences, and past interactions in a database (often vector + key-value) so the agent can recall them across sessions without stuffing them into every prompt.
What is an example of Long-Term Memory?
A personal assistant remembers 'user prefers 30-min meetings' and applies it forever.
Why does Long-Term Memory matter?
Persistent state an agent carries between sessions.
What should I learn after Long-Term Memory?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Episodic Memory
Session-scoped memory of specific past events.
- →MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
- →Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
- →Agentic Workflow
A workflow where an LLM decides the next step instead of a hard-coded path.
Related workflows
Turn this into a repeatable process.
- →How to Create a Website with AI
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- →How to Build an AI Content System
A repeatable pipeline that turns one input into publish-ready content across every channel.
- →How to Start a Niche Website with AI
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- →Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
Related tool stacks
The tools that run it in production.
- →Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Comparisons & alternatives
Pick between the options.
- →OpenAI vs Anthropic for Agents
Which provider builds better production agents in 2026.
- →CrewAI vs AutoGen vs LangGraph
Three approaches to multi-agent orchestration.
- →RAG vs Long Context Windows
Is RAG obsolete now that context windows are 1M+ tokens? Not quite — here's when each wins.
- →Cursor Agents vs Devin vs Lovable
Three ways AI writes code for you in 2026.