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
●85 — 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 tools both integrate with
Only Mem0 (5)
ZepOpenAI APIQdrantCogneeGraphiti
Only Qdrant (13)
LangChainLlamaIndexHaystackDifyVercel AI SDKChromaPineconepgvectorWeaviateMilvus
Explore the full AI landscape
See how Mem0 and Qdrant fit into the bigger picture — 235 tools, 543 relationships, all mapped.