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
●85 — Active
Qdrant
Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.
Shared Connections1 tools both integrate with
Only Qdrant (13)
LangChainLlamaIndexHaystackDifyVercel AI SDKChromaPineconepgvectorWeaviateMilvus
Only Mem0 (5)
ZepOpenAI APIQdrantCogneeGraphiti
Explore the full AI landscape
See how Qdrant and Mem0 fit into the bigger picture — 235 tools, 543 relationships, all mapped.