mem0ai/mem0

Health v2 · maintenance only

Adoption not part of the score

65721 stars · 7720 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Mem0 provides a drop‑in memory infrastructure for AI agents and applications, enabling persistent, token‑efficient context across sessions. It offers SDKs for Python and Node.js and a managed service with advanced features like entity linking and memory consolidation.

Use cases

• Add long‑term memory to a chatbot so it remembers user preferences across conversations
• Enable an autonomous AI agent to retrieve past actions and facts while performing multi‑step tasks
• Implement retrieval‑augmented generation (RAG) for LLMs with a persistent vector store
• Store and query structured entity information for personal assistants or recommendation systems
• Consolidate and compress memory logs to keep context relevant over time

When to choose

• You need a production‑ready, scalable memory store for LLM‑powered agents
• Your application requires persistent context that survives restarts and multiple users
• You want built‑in entity linking and token‑efficient retrieval without building your own pipeline

When to avoid

• You only need transient, in‑memory state that does not persist across sessions
• Your project cannot accommodate external API calls or managed service costs
• You require a fully self‑hosted solution with no third‑party dependencies

Facets

library · maturity active

state-management api-framework vector-database artificial-intelligence large-language-models python cross-platform memory-layer persistent-context token-efficient entity-linking dream-consolidation retrieval-augmented-generation ai-agents nodejs

Member repositories

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