Complete pricing guide for Mem0. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Mem0 · Last verified March 2026
Detailed feature comparison coming soon. Visit Mem0's website for complete plan details.
View Full Features →Yes. Mem0 has an open-source option and a hosted Hobby plan listed at $0 per month.
The Starter plan is listed at $19 per month.
Enterprise pricing lists on-prem deployment, SSO, audit logs, custom integrations, and SLA support.
This record scopes Mem0 as usable for MCP-compatible agent memory workflows, but teams should verify current MCP server and client support in the latest documentation.
No. It is positioned as an agent memory layer that can work with vector databases and related infrastructure.
Fully managed vector database for RAG and AI search — serverless storage, hybrid sparse-dense indexes, integrated embedding and rerank models, and Pinecone Assistant as a turnkey RAG layer.
Compare Pricing →An open-source and managed vector database for semantic search, retrieval, recommendation, and agent memory.
Compare Pricing →Weaviate review of vector and hybrid search, managed and open-source deployment, current cloud pricing, advantages, tradeoffs, and practical RAG use cases.
Compare Pricing →pgvector is an open-source PostgreSQL extension for storing embeddings and running vector similarity search with SQL. It is best for teams already using PostgreSQL that want semantic search, RAG retrieval, or AI memory without operating a separate vector database, while accepting PostgreSQL scaling and tuning tradeoffs.
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