Quick Answer
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Mem0 costs $19 to $250 per Month as of July 2026, with 6 plans available. Plans: Starter at $19/Month, Growth at $79/Month, and Pro at $250/Month. Enterprise pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Mem0 offers 6 pricing tiers: Hobby, Starter, Growth, Pro, Enterprise, Usage based pricing. Paid plans include Starter at $19/Month, Growth at $79/month, Pro at $250/month.

Last verified: | Sources: 1 pricing pages and reviews
Know Before You Buy — See Mem0 Plans

Mem0 lists $19-$250/Month, but hidden costs like implementation and support add to the total as of July 2026. Key hidden costs: llm calls for fact extraction, self-hosting infrastructure, underlying llm api calls. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

LLM Calls for Fact Extraction

high implementation

Mem0's automatic fact extraction feature makes a separate call to an LLM every time an application calls add() to identify facts from text, which can be an unnecessary overhead and cost if the application already provides clean data.

industry

This process, while useful for messy conversation transcripts, can be an unnecessary overhead and cost if the application already provides clean, specific data.

2

Self-Hosting Infrastructure

high implementation

Self-hosting the open-source Mem0 incurs costs for server infrastructure, vector and graph database hosting, and ongoing maintenance and DevOps overhead.

industry

Self-Hosting Infrastructure: While Mem0 offers an open-source version that can be self-hosted for free, this option incurs costs for: * Server infrastructure to run Mem0.

3

Underlying LLM API Calls

high addon

Users are responsible for the costs of their underlying LLM API calls, such as OpenAI or Claude, regardless of their Mem0 plan.

industry

Vector database hosting (e.g., Qdrant, Pinecone, or pgvector with PostgreSQL).

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