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Comparisons

How Supabrain compares to the memory landscape

Most “AI memory” tools are toolkits you wire into your own product, or cloud services that meter every memory. Supabrain is the plug-and-play one: install, connect MCP, and your AI work memory is live in minutes — local and central across your tools.

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Read this first

Plug it in, or build the plumbing

Most memory tools are built to embed in a product you ship, or to run as a cloud service. To make them memory for your own agent, you assemble infrastructure. Supabrain is the one you just plug in.

Toolkits & cloud services

You build or wire them up

SDKs, hosted APIs, or self-hosted stacks (vector + graph databases). Powerful, but you integrate and operate them — and the managed versions meter every memory.

Mem0 · Zep · Letta

Plug-and-play work memory

You just connect it

A finished app that plugs into the agent you already use and remembers your decisions, fixes, and dead ends — local, private, central across tools and machines.

Supabrain

The matrix

Supabrain vs the field

Scored on what it takes to give your own agent a memory — setup, privacy, price, and what it remembers.

CapabilitySupabrainMem0ZepLettaBuilt-in
(Cursor / vendor)
Plug-and-play setup
install + MCP

cloud or self-host stack
Local-first / private~
OSS self-host
~
Flat / unlimited price
metered
~
Stores validated conclusions
Remembers dead ends
Hybrid retrieval (FTS+vector)~~
Cross-tool / cross-model
any MCP
~~~
per-vendor
Cross-machine sync
cloud
~
Agent action ledger
No infra to run
vector+graph DB

yes  ·  ~ partial / conditional  ·  no or not the focus  —  “~” usually means available only by self-hosting an OSS edition or via a specific integration.

Go deeper

Head-to-head breakdowns

Supabrain vs Mem0

The most-asked one. Plug-and-play vs cloud-or-self-host-a-stack — plus the local, central, and flat-pricing case.

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Supabrain vs Supermemory

A finished tool for your own agent vs a cloud-first, benchmark-leading memory platform you build into your product.

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Supabrain vs Zep

Temporal knowledge-graph memory you build into your app vs local-first, plug-and-play memory for your agent.

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Supabrain vs Letta

Run a whole stateful-agent framework vs plug a focused memory layer into the coding agent you already use.

Read the breakdown →

Per-tool setup guides: Claude Code · Cursor · VS Code · Windsurf · GitHub Copilot · Google Antigravity · Claude Cowork

Competitor capabilities and pricing reflect public information as of June 2026 and vary by plan and version. Verify current terms on each vendor’s site. “~” marks features that exist conditionally (e.g. self-hosting an OSS edition, or integration-dependent behavior).

Early access

Plug-and-play memory for all your AI work

Install, connect MCP, done — local, central, and flat-priced, across every tool you use. Join the beta for an invite.