agno-memory

Add persistent user memory to Agno agents with MemoryManager configuration.

4|Updated Feb 19, 2026

Search Tags:#context management #agent #memory #persistence #user preferences #agno

Ready to run

npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-memory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agno-memory
Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-memory
Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables Agno agents to remember user-specific facts, preferences, and context across multiple conversations and sessions, making them more personalized and effective.

Core Features & Use Cases

Persistent User Memory: Stores user-level facts (preferences, goals) separate from conversation history.
Agentic Memory: Allows agents to intelligently decide when to store or recall information.
Shared Memory: Enables multiple agents to access and contribute to a common memory store for a user.
Use Case: An agent can remember a user's preferred programming language, project details, or dietary restrictions, and proactively use this information in future interactions.

Quick Start

Use the agno-memory skill to add persistent memory to your Agno agent by importing agno.memory and configuring the MemoryManager.

Frequently Asked Questions about agno-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add persistent memory to an AI agent so it remembers user preferences across sessions?▼

Persistent agent memory stores user-level facts and context across sessions. You configure a MemoryManager with a database backend, enabling the agent to save and recall user preferences, goals, and details independently from conversation history.

Can multiple agents share the same memory store for a single user?▼

Shared memory allows multiple agents to access and contribute to a common memory store for a user. This enables different specialized agents to utilize the same stored facts and context for collaborative, personalized interactions.

How does agentic memory mode work for deciding when to store context?▼

Agentic memory allows agents to intelligently decide when to store or recall information. Instead of passively logging history, the agent actively evaluates conversation context to determine which facts are worth persisting for future sessions.

How do I manage persistent context for multi-user agent sessions?▼

Multi-user session management isolates persistent context by storing user-level facts separately. This ensures the agent retrieves the correct preferences and history specific to each individual user during their respective interactions.

Do I need a database to enable context management and user memory persistence?▼

A database backend is required for context management and user memory persistence. This database stores the user-level facts and preferences, allowing the agent to reliably recall information across multiple conversations and sessions.

What is the best way to remember user-specific facts separate from conversation history?▼

Storing user-level facts separately from conversation history is the best way to remember specific details. This persistent memory capability saves preferences and goals in a backend, making agents more personalized and effective.