These tools integrates with
Mem0vsQdrant
Universal persistent memory layer for AI agents versus High-performance vector DB with filtering
Compare interactively in Explore →Choose Mem0 when…
- •You want your AI agent to remember users and preferences across sessions
- •You need a universal memory layer that works with any LLM or framework
- •You're building personalized AI assistants with long-term context
Choose Qdrant when…
- •You need high-performance vector search in production
- •You want OSS with Rust-level performance
- •Filtering alongside vector search is important
Side-by-side comparison
Field
Mem0
Qdrant
Category
Memory & Persistence
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Pro: $49/mo
Cloud: Usage-based
GitHub Stars
⭐ 30,000
⭐ 20,000
Health
●95 — Active
●95 — Active
Mem0
Open-source persistent memory layer that gives AI agents the ability to remember users, preferences, and context across sessions. Supports vector, graph, and key-value storage backends. AWS partner for Strands Agents. YC W23, $24M raised, 30K+ GitHub stars.
Shared Connections1 tool both integrate with
Only Mem0 (6)
ZepOpenAI APIQdrantCogneeGraphitiEverOS
Only Qdrant (13)
LangChainLlamaIndexHaystackDifypgvectorWeaviateMilvusVercel AI SDKChromaPinecone
Explore the full AI landscape
See how Mem0 and Qdrant fit into the bigger picture — 256 tools, 553 relationships, all mapped.