Mem0 vs Memary
No leader: the top candidate Memary has only 0.19 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
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.
Mem0
A 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.
Memary
An open-source framework that extends autonomous agent capabilities by storing interactions and knowledge in graph structures, enabling agents to maintain continuity and access relevant information across sessions through entity extraction and memory compression techniques.
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.
- Perplexity
- OpenAI
Mem0
- Slack
- Claude Code
- Linear
- Zapier
- n8n
- ChatGPT
- Vercel AI SDK
- DeepSeek
- HuggingFace
- Cursor
- Windsurf
- Codex
- OpenCode
- OpenClaw
- Claude
- Langgraph
Memary
- FalkorDB
- LangChain
- LlamaIndex
- Ollama
- Neo4j
- Google Maps
- Alpha Vantage
Mem0 or Memary: 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.