mem0

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

4|2|Updated Feb 19, 2026

Search Tags:#search #memory #persistence #knowledge-management #agent-memory #mem0 #research-workflow

Ready to run

npx skills add https://github.com/drunkcoding/AgentSkillsArxiv --skill mem0-drunkcoding

💬 Prompt for ChatGPT / Claude Chat▼

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.