LangMem vs Mem0
On the evidence we track, Mem0 leads this comparison with a composite score of 54/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for agent memory. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LangMem
LangMem provides tools for AI agents to extract important information from conversations, maintain long-term memory across sessions, and continuously improve their behavior. It offers native integration with LangGraph and works with any storage backend.
Mem0
LeaderA persistent memory layer designed for AI agents and applications that automatically extracts, stores, and retrieves contextual information. Supports both open-source self-hosted and managed cloud deployment options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LangGraph
LangMem
- GitHub (repository hosting)
Mem0
Leader- Slack
- Claude Code
- Linear
- Zapier
- n8n
- ChatGPT
- Perplexity
- Vercel AI SDK
- DeepSeek
- OpenAI
- HuggingFace
- Cursor
- Windsurf
- Codex
- OpenCode
- OpenClaw
- Claude
LangMem or Mem0: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.