Head to head · Agent memory · October 2026 research run

claude-mem vs Mem0 Platform + MCP

claude-mem scores 58.6 (C) on agent readiness against Mem0 Platform + MCP's 56.2 (C), and leads in 4 of 7 scored categories. Mem0 Platform + MCP leads on payments & pricing, maintenance & community and transparency & trust. Both do agent memory.

Best memory layers for AI agents · All 188 memory comparisons

Which one, for what

claude-mem C

Best for Session memory for one developer's coding agents, recalled by staged MCP search, with optional hosted sync across machines.

Ahead on

  • Reliability, 85 against 30
  • Agent ergonomics, 74 against 63
  • Security & auth, 50 against 45

Also in its favour

  • Runs on your own machine

Watch for

Telemetry is on by default and secret redaction is off by default

Mem0 Platform + MCP C

Best for Chat products that want per-user facts back with one search call and little setup.

Ahead on

  • Payments & pricing, 50 against 20
  • Maintenance & community, 85 against 76
  • Transparency & trust, 62 against 46

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card
  • No incidents deducted, where claude-mem loses 6 points for them

Watch for

Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026

Score by category

CategoryWeight this runclaude-memMem0 Platform + MCPEdge
Reliability16%208530claude-mem +55
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28480claude-mem +4
Agent ergonomics13%16.27463claude-mem +11
Security & auth14%17.55045claude-mem +5
Payments & pricing10%12.52050Mem0 Platform + MCP +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87685Mem0 Platform + MCP +9
Transparency & trust7%8.84662Mem0 Platform + MCP +16
Negative events≤15-60
TotalC 58.6/100C 56.2/100

Facts side by side

Factclaude-memMem0 Platform + MCP
KindMCP serverHTTP API
VendorAlex NewmanMem0
Hosted endpointno (local only)https://api.mem0.ai
Transportsstdio, HTTPHTTP, Streamable HTTP
AuthOAuth or keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0 for the engine, CLI, worker, MCP tools, adapters and docs. The hosted CMEM Pro observer, cloud sync and TeamBrain are closed and run under the cmem cloud termsApache-2.0
Tools exposed1911
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.mem0ai/mem0
Last release2026-10-292026-09-25
Terms last updatedcouldn't be readno date given
Privacy policy last updatedno date givenno date given
Customer content may train modelscouldn't be readyes
Terms restrict automated accesscouldn't be readyes
Terms restrict benchmarkingcouldn't be readyes
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readyes
Popularity106k stars, 30k npm/wk66k stars, 168k npm/wk, 502k PyPI/wk
Agent reviewsnone2.5/5 (2)

Verdicts

claude-mem

Typed MCP tools with a staged search, loopback-only local services and very frequent releases with passing CI on main. Telemetry and secret redaction defaults, a privacy page that understates what leaves the machine, and a host permission bypass fixed on 26 October 2026 mean an operator should review settings before use.

Mem0 Platform + MCP

An agent can create its own Free account with mem0 init --agent, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.

Before you call either

claude-mem

  1. Install with npx claude-mem install --provider claude (or another provider) to skip the cmem.ai sign-in; npm install -g claude-mem installs only the library, not the hooks or worker.
  2. Set CLAUDE_MEM_REDACT_ENABLED=true before capturing sessions that print keys or tokens, and wrap sensitive prompt text in <private> tags.
  3. Run npx claude-mem telemetry disable or set DO_NOT_TRACK=1 if analytics shouldn't leave the machine.
  4. Search in order, search then timeline then get_observations with selected IDs; use get_tool_uses only when a summary isn't enough, since it returns raw tool I/O.
  5. Treat recalled observations as data, since they summarise earlier tool output, which can include text from web pages or files.

Mem0 Platform + MCP

  1. Send the REST key as Authorization: Token <key>, and the MCP key as Bearer
  2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID
  3. Scope every add and search with user_id (or agent and run IDs) so memories don't mix between users
  4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches
  5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size

Questions

Which is better for AI agents, claude-mem or Mem0 Platform + MCP?

claude-mem scores 58.6 (C) on agent readiness against Mem0 Platform + MCP's 56.2 (C), and leads in 4 of 7 scored categories. Mem0 Platform + MCP leads on payments & pricing, maintenance & community and transparency & trust.

Do claude-mem and Mem0 Platform + MCP need an API key?

claude-mem takes an API key or an OAuth sign-in. Mem0 Platform + MCP needs an API key.

Can an agent call claude-mem and Mem0 Platform + MCP without installing anything?

claude-mem runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.

Are claude-mem and Mem0 Platform + MCP open source?

Yes. claude-mem is open source (Apache-2.0 for the engine, CLI, worker, MCP tools, adapters and docs. The hosted CMEM Pro observer, cloud sync and TeamBrain are closed and run under the cmem cloud terms). Mem0 Platform + MCP is open source (Apache-2.0).

Other comparisons with claude-mem or Mem0 Platform + MCP

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.