mem0

Mem0 is a multi-level and token efficient memory layer developed for AI applications and assistants. It provides cross session context management by storing user, session and agent statuses. It works with architectural components such as single-pass extraction, asset binding, and multi-signaling.

ME

mem0

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mem0ai · AI Agent Frameworks

STARS68.1K
FORKS8.1K
COMMITS—
CONTRIBUTORS313
VERSIONvercel-ai-v3.0.0
UPDATEDtoday
PythonAI MemoryRAGApache-2.0

Common commercial products in this category: OpenAI Assistants API, Microsoft Copilot Studio, Amazon Bedrock Agents

What can it do?
  • You can have consistent and context-rich conversations with your AI assistants.
  • You can set up customer support systems that remember past support tickets and user history.
  • You can create productivity or game environments that are tailored to user preferences.
Heads up
  • • High number of open issues (892)
User reviews
  • • NeutralHacker News

    Show HN: Mem0 – open-source Memory Layer for AI apps

    “Thanks for your question! Claude Prompt Caching and Mem0's memory system have several key differences: 1. Purpose and duration: Claude's cache is designed for short-term memory, clearing every 5 minutes. In contrast, Mem0 is built for long-term information storage, retaining…”

  • • NeutralHacker News

    Show HN: Mem0 – open-source Memory Layer for AI apps

    “Thanks for the question. Here's how Mem0 differs from ChatGPT memory: 1. LLM Compatibility: Mem0 works with various AI providers (OpenAI, Anthropic, Groq, etc.), while ChatGPT memory is tied to OpenAI's models only. 2. Target Audience: Mem0 is built for developers creating AI…”

Verified against README · Oct 26, 2026 · source

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