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.
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 for AI and automation?
Persistent state an agent carries between sessions. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
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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
Go from idea to a live, custom-domain website in one afternoon using AI builders.
- →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
Pick a niche, validate demand, build the site, and publish ranking content using AI end-to-end.
- →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.