LangGraph
Graph-based multi-agent orchestration framework for building stateful, production-ready AI workflows.
★ 4.6
Open-source memory layer that gives AI agents persistent, personalized memory across conversations.
Best for: customer-facing ai assistants that personalize responses based on user history, sales and support agents that remember customer preferences, past issues, and context
Verified by editorial·Last updated: November 2026·How we rank
Not yet in our hand-tested rotation
Mem0 is in our catalog but the editorial team has not written a hands-on review yet. The verdict and scores below are auto-derived from public data (user ratings, pricing, feature coverage) rather than first-person testing.
See the 240+ tools we have hand-tested →Editor's verdict
Mem0 is a solid freemium pick, rated 4.4/5 by 870 users. Best for customer-facing ai assistants that personalize responses based on user history and sales and support agents that remember customer preferences, past issues, and context. Standout: automatic memory extraction from conversations - no need to define what to remember. Watch out: memory extraction uses an additional LLM call per turn, adding latency and cost. Has a free tier; paid plans start at $24/mo.
Mem0 (pronounced "mem-zero") is an open-source memory infrastructure layer for AI agents and assistants. It solves a fundamental limitation in LLM-based agents: they forget everything between sessions. Each conversation starts from scratch, requiring users to re-explain context and preferences that were stated in prior sessions. Mem0 adds a persistent memory layer that extracts, stores, and retrieves relevant facts about the user - preferences, past decisions, stated goals, context about their work - and injects the most relevant memories into the LLM context at the start of each session. The extraction is automatic: rather than requiring the application to decide what to remember, Mem0 passes conversation turns through an LLM extraction step that identifies memory-worthy facts and stores them in a vector database with metadata. Memory retrieval uses semantic search to surface the most contextually relevant memories at query time, not the most recent. This is the same mechanism that makes human assistants better over time: they remember what matters about you. The managed cloud version (mem0.ai) handles storage and retrieval without the team running their own vector database. The open-source version integrates with any vector store: Pinecone, Qdrant, Weaviate, or Supabase pgvector. Framework integrations cover LangGraph, CrewAI, OpenAI Assistants, and direct API. Pricing on the managed cloud starts at $24 per month for small applications, scaling by memory storage and retrieval volume. For teams building AI assistants, customer-facing agents, or personal productivity agents where the product improves through personalization, Mem0 is the most developer-friendly memory layer available.
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Pricing verified November 2026. Verify current pricing on the official site before purchase.
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4.4/5870 aggregate ratings from G2, Capterra, Product Hunt
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November 2026Re-verified against the official site every 90 days
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Mem0 offers a free tier with limited features. Paid plans start from $24/month.
Mem0 is best suited for: Customer-facing AI assistants that personalize responses based on user history, Sales and support agents that remember customer preferences, past issues, and context, Personal productivity agents that learn user workflows, preferences, and recurring tasks.
Mem0 holds a rating of 4.4/5 from 870 reviews. Browse our comparison pages to see detailed side-by-side breakdowns against similar tools.
Mem0 starts at $24/month and includes a free tier. Pricing may vary by plan and region - always verify on the official site.
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MytheAi Team
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The MytheAi editorial team tracks and reviews AI and SaaS tools. We built MytheAi out of frustration with pay-to-rank listicles and SEO-driven directories that prioritize ad revenue over honest guidance. Hands-on testing across 620+ tools to date.
Mem0 is a freemium tool with a free tier available. It holds a rating of 4.4/5 based on 870 reviews.
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