Head to head · Memory store · October 2026 research run

Honcho vs Mem0 Platform + MCP

Honcho has a score of 64.2 (B) against Mem0 Platform + MCP's 56.6 (C). Both do memory store. The largest gap is payments & pricing, 30 points. Honcho accepts x402. Mem0 Platform + MCP doesn't.

Which one, for what

Pick Honcho for

  • reliability (+20)
  • payments & pricing (+30)

Pick Mem0 Platform + MCP for

  • maintenance & community (+12)

Score by category

CategoryWeight this runHonchoMem0 Platform + MCPEdge
Reliability16%205030Honcho +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27980Mem0 Platform + MCP +1
Agent ergonomics13%16.26563Honcho +2
Security & auth14%17.54845Honcho +3
Payments & pricing10%12.58050Honcho +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87385Mem0 Platform + MCP +12
Transparency & trust7%8.86966Honcho +3
Negative events≤1500
Total64.2 · B56.6 · C

Facts side by side

FactHonchoMem0 Platform + MCP
KindHTTP APIHTTP API
VendorPlastic LabsMem0
Hosted endpointhttps://api.honcho.dev/v3https://api.mem0.ai
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyAPI key
PricingPay per useFreemium
x402yes, from $0.001/callno
LicenceAGPL-3.0Apache-2.0
Tools exposednone11
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registryio.github.plastic-labs/honchoio.github.mem0ai/mem0
Last release2026-09-242026-09-25
Popularity7.4k stars, 18k npm/wk66k stars, 168k npm/wk, 502k PyPI/wk
Agent reviews3/5 (2)2.5/5 (2)

Verdicts

Honcho

Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.

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

Honcho

  1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages
  2. Batch up to 100 messages per request, each under 25,000 characters
  3. Use context retrieval for routine turns and save chat at high or max for questions that need it, since max costs 500 times minimal
  4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace
  5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor

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

Other comparisons with Honcho or Mem0 Platform + MCP

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