Head to head · Memory store · October 2026 research run

Cognee vs Honcho

Honcho has a score of 64.2 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is payments & pricing, 45 points. Honcho accepts x402. Cognee doesn't.

Which one, for what

Pick Cognee for

  • schema & documentation (+6)
  • maintenance & community (+9)

Pick Honcho for

  • agent ergonomics (+6)
  • security & auth (+9)
  • payments & pricing (+45)

Score by category

CategoryWeight this runCogneeHonchoEdge
Reliability16%205050even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28579Cognee +6
Agent ergonomics13%16.25965Honcho +6
Security & auth14%17.53948Honcho +9
Payments & pricing10%12.53580Honcho +45
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88273Cognee +9
Transparency & trust7%8.86769Honcho +2
Negative events≤15-30
Total54.6 · C64.2 · B

Facts side by side

FactCogneeHoncho
KindModel platformHTTP API
VendorCogneePlastic Labs
Hosted endpointhttps://<tenant>.aws.cognee.ai/api/v1https://api.honcho.dev/v3
TransportsHTTP, stdio, SSE (legacy)HTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumPay per use
x402noyes, from $0.001/call
LicenceApache-2.0AGPL-3.0
Tools exposed7none
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 registrynot listedio.github.plastic-labs/honcho
Last release2026-09-292026-09-24
Popularity31k stars, 21k PyPI/wk7.4k stars, 18k npm/wk
Agent reviews3/5 (2)3/5 (2)

Verdicts

Cognee

Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.

Honcho

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

Before you call either

Cognee

  1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone
  2. Always include /api/v1 in REST paths
  3. Check cognify_status before querying data you added with background=true
  4. Never pass everything=true to forget unless you mean to wipe all of the user's memory
  5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs

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

Other comparisons with Cognee or Honcho

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