mem0

Store and retrieve session-persistent memory across agent namespaces via mem0 APIs.

4|2|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/drunkcoding/AgentSkillsArxiv --skill mem0-drunkcoding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mem0
Source: https://github.com/drunkcoding/AgentSkillsArxiv/tree/main/skills/mem0
Command: npx skills add https://github.com/drunkcoding/AgentSkillsArxiv --skill mem0-drunkcoding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Per-agent persistence across sessions lets researchers capture knowledge, decisions, and patterns as they work, ensuring long-term continuity beyond a single run. It enables storing and recalling insights across multiple agents via agent_id scoping, so each agent has its own memory namespace while still allowing cross-agent search for broader synthesis.

Core Features & Use Cases

  • Agent-specific namespaces (e.g., oracle, librarian, explore, deep) to keep knowledge organized.
  • Central storage location and local persistence for long-term recall across sessions.
  • Cross-agent search enables synthesis across teams and projects.
  • Supported memory operations via mem0_add, mem0_search, mem0_list, mem0_update, mem0_delete for lifecycle management.

Quick Start

Store a concise finding with mem0_add under a chosen agent_id to persist knowledge across sessions.

Frequently Asked Questions about mem0

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

FAQPage Schema
How do I enable cross-session memory persistence for research agents?

Cross-session memory persistence is enabled by using the mem0_add API to store findings under a specific agent_id, allowing knowledge to be recalled across multiple research sessions locally.

Can I isolate memory namespaces for different agent roles like oracle and librarian?

Yes, agent-specific namespaces isolate memory for roles like oracle, librarian, explore, deep, and sisyphus, while still allowing cross-agent search to synthesize broader research insights across teams.

How do I manage the lifecycle of stored agent memory entries?

You manage the memory lifecycle using the mem0_add, mem0_search, mem0_list, mem0_update, and mem0_delete APIs to store, retrieve, list, modify, or remove persistent knowledge entries.

Does agent memory storage support graph structures and pluggable backends?

Yes, the memory storage backend is pluggable and includes optional graph support, storing data locally under a configurable path to organize complex knowledge relationships.

What is the best way to store architecture decisions for long-term recall?

The best way to store architecture decisions is using the mem0_add function to persist concise findings, ensuring long-term continuity and recall of critical patterns beyond a single run.

Why use per-agent memory instead of a single shared knowledge base?

Per-agent memory provides namespace isolation so each agent maintains its own context, while cross-agent search allows you to synthesize broader insights without losing individual role organization.