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Mem0 vs MemoryBase

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
MemoryBase — $9/mo vs $19/mo for Mem0
Free plan
Both have one
Public API
Both have one
Higher Trust score
Mem0 — 89 vs 68 for MemoryBase
Best fit
Mem0: Developers adding per-user memory to chatbots, support agents or assistants · MemoryBase: People who regularly switch between ChatGPT, Claude, and Gemini for the same project

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Mem0Memory layer for AI agents and apps that stores user facts and preferences between sessions and retrieves them on demand.MemoryBaseKeeps a shared memory of your AI chats so context carries over between ChatGPT, Claude, and Gemini.

Side by side

FactMem0MemoryBase
CategoryLLM Orchestration FrameworksNote-taking & Second Brain
Pricing modelFreemiumFreemium
Starts at$19/mo$9/mo
Public APIYesYes
Trust score89 / 10068 / 100
PlatformsAPI, WebWeb, Chrome extension, API
CompanyEmbedchain, Inc. (d/b/a Mem0)MemoryBase
Launched2024—
Last verifiedOct 2, 2026Sep 1, 2026

What our research says

Mem0

Mem0 is a reasonable way to add cross-session personalisation to an agent without designing your own memory store, and the open-source library means you can start locally and move to the hosted service later. The hosted tiers are priced by request counts, so chatty agents can burn through the small plans faster than the user counts suggest.

Pros

  • Open-source library under Apache-2.0 with a hosted platform for production
  • Free tier with unlimited end users
  • SDKs plus MCP, CLI and a gateway for common agent setups
  • Compliance posture is published, including SOC 2 Type I

Cons

  • Graph memory, advanced analytics and private Slack support only start at the $249 Pro tier
  • Free and Starter tiers allow few retrieval requests, 1,000 and 5,000 a month
  • Quality depends on what the extraction step decides to store, which you cannot fully control

MemoryBase

MemoryBase solves a real annoyance for people who use several AI chat tools regularly: it stops you from re-explaining the same background every time you switch models. Its value depends entirely on how many different AI tools you actually juggle, since it does nothing for someone who sticks to one assistant.

Pros

  • Automatic organization of conversations into timelines and projects
  • Selective context sharing rather than dumping everything into every chat
  • Chrome extension plus MCP/CLI hooks for coding agents

Cons

  • Free tier caps chat history at 6 months
  • Perplexity and Grok support not live yet
  • No dedicated public API documentation found beyond the CLI/MCP mentions

Which one fits

Choose Mem0 if you need

  • Developers adding per-user memory to chatbots, support agents or assistants
  • Teams that want an open-source memory library with a hosted option
  • Agent builders who need memory exposed over MCP

Choose MemoryBase if you need

  • People who regularly switch between ChatGPT, Claude, and Gemini for the same project
  • Developers wanting shared context across coding agents via MCP
  • Anyone tired of re-pasting background context into every new chat

Mem0 vs MemoryBase: the questions people ask

Is Mem0 cheaper than MemoryBase?

On published entry prices, MemoryBase starts lower — $9/mo against $19/mo for Mem0. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does Mem0 or MemoryBase have a free tier?

Both: Mem0 has a free tier, and MemoryBase has a free tier.

Which has a public API, Mem0 or MemoryBase?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

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