BenchRank
#1 in AI Development PlatformsUpdated 2026-08

Mem0

by Mem0 · Hosted memory layer for AI agents, with Python and Node SDKs

BenchRank score

85.5 — BenchRank score out of 100

Screenshots of Mem0

Homepage · Mem0

Homepage of Mem0

Overview

Mem0 is a hosted memory layer for AI agents and apps. Client SDKs for Python and Node send conversation messages to its API, which extracts and updates memories and returns relevant ones on search by user ID. Plans are metered by add and retrieval requests per month; on-premises deployment is offered on the Enterprise tier.

Best for
Developer teams adding persistent memory to AI agents through a hosted API, with a free tier
Pricing
Free Hobby tier, then $19/month (Starter) and $249/month (Pro), with custom Enterprise pricing; annual rates are not shown.
Runs on
WebSelf-hostedCLI

Strengths and trade-offs

Strengths

  • Free tier: 10,000 add and 1,000 retrieval requests a month
  • Unlimited end users on every plan, including the free one
  • Python and Node SDKs; add and search memories by user ID
  • SOC 2 (Type 1) and HIPAA compliance stated

Trade-offs

  • Retrieval limits are low: 1,000/month free, 5,000 on the $19 Starter
  • Large gap between the $19 Starter and the $249 Pro plan
  • Graph memory, analytics and multiproject support start at Pro
  • On-prem, audit logs and SSO require an Enterprise contract

How Mem0 markets itself

A structured read of the promise, proof and page design on Mem0’s captured homepage.

Homepage capture

“AI memory that persists across sessions and agents”

  • Angle: AI-native
  • Hero: Code snippet

Pricing

Published plans and prices from Mem0’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Mem0 pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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