These tools integrates with
QdrantvsMem0
High-performance vector DB with filtering versus Universal persistent memory layer for AI agents
Compare interactively in Explore →Choose Qdrant when…
- •You need high-performance vector search in production
- •You want OSS with Rust-level performance
- •Filtering alongside vector search is important
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
Side-by-side comparison
Field
Qdrant
Mem0
Category
LLM Infrastructure
Memory & Persistence
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
Pro: $49/mo
GitHub Stars
⭐ 20,000
⭐ 30,000
Health
●95 — Active
●95 — Active
Qdrant
Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.
Shared Connections1 tool both integrate with
Only Qdrant (13)
LangChainLlamaIndexHaystackDifypgvectorWeaviateMilvusVercel AI SDKChromaPinecone
Only Mem0 (6)
ZepOpenAI APIQdrantCogneeGraphitiEverOS
Explore the full AI landscape
See how Qdrant and Mem0 fit into the bigger picture — 256 tools, 553 relationships, all mapped.