Head to head · Agent memory · October 2026 research run

Honcho vs Memori

Honcho scores 61.6 (C) on agent readiness against Memori's 44.2 (E), and leads in every scored category. Both do agent memory. Honcho accepts x402. Memori doesn't.

Best memory layers for AI agents · All 353 memory comparisons

Which one, for what

Honcho C

Best for Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.

Ahead on

  • Reliability, 50 against 28
  • Schema & documentation, 84 against 68
  • Agent ergonomics, 71 against 65
  • Security & auth, 52 against 45
  • Payments & pricing, 80 against 45
  • Maintenance & community, 83 against 33
  • Transparency & trust, 69 against 52

Also in its favour

  • An agent can pay per call over x402, with no account

Watch for

No published rate limits, 429 guidance or SLA

Memori E

Best for Memory captured from LLM calls for apps that already use OpenAI, Anthropic or Gemini clients.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Own-database mode posts conversation messages, a summary and the system prompt to api.memorilabs.ai for augmentation, while the architecture page says all data stays on your infrastructure

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Honcho +50

Honcho 83

Server v3.5.0 and both SDKs at 2.8.0 on 29 October 2026 (30). The repository's tags and dated CHANGELOG.md show 11 server releases from v3.0.12 (10 August) to v3.5.0, and SDK releases 2.3.0 to 2.8.0 (20). A maintainer answered the May outage report (#753) and moved updates to Discord, per the 1 October check; GitHub's pages answered 403 on 2 November (10 of 25). The hosted MCP is in the official registry as io.github.plastic-labs/honcho, and the SDKs are current (15). The TypeScript SDK's only runtime dependency is zod; CI workflows are in the repository but their run state wasn't read (8 of 10).

Memori 33

SDK 3.3.6 on 27 May 2026, 163 days before the check (10). No release in the 90 days to 6 November (0). Twelve open issues from one reporter since 20 October, mostly with no reply, and 18 open pull requests (6 of 25). Python and TypeScript SDKs, last released in May 2026 (12 of 15). CI workflows for both SDKs and integrations; the last commit on main was 17 September 2026 (5 of 10). Total 33.

Payments & pricing Honcho +35

Honcho 80

x402 and Tempo MPP on 16 endpoints at agentcash.honcho.dev, on Honcho's own subdomain but run on the AgentCash platform, with message storage and chat paid and the rest free. api.honcho.dev itself takes only keys (30 of 40). Ingestion at $2 per million tokens and chat at $0.001 to $0.50 a call are published (20). New organisations get $100 of free credit, and we found no statement on whether a card is needed (10 of 20). An agent can pay per call over x402 with no account (20).

Memori 45

No x402, MPP or L402 (0 of 40). Plan prices are public but sales-led, from $60,000 a year (10). A free key with 5,000 augmentations a month, with no card mentioned (20). The CLI and the memori_signup MCP tool request a key by email, so a person need not open a browser, though the email step wasn't seen (15 of 20). Total 45.

Reliability Honcho +22

Honcho 50

Rootly status page at status.honcho.dev with Honcho API and Web Dashboard components and history (20). Per the 1 October check, the window holds slow provisioning of new instances on 17 August (about 7 hours, existing instances unaffected) and 36 minutes of migration downtime on 17 September, minor only (20). status.honcho.dev answered a Cloudflare bot check on 2 November, so 2 October to 2 November is unread and isn't credited. No published rate limits found; a Gmail import guide mentions Honcho's rate limits without numbers (0). No 429 or retry guidance found (0). No SLA found (0). The v3 API is generally available (10).

Memori 28

Hosted lines, since both modes call Memori's API. No status page found; status.memorilabs.ai did not answer and none is linked (0). No readable incident history (5). Monthly augmentation quotas are published (100 without a key, 5,000 with a free key), but no request rate limits (8 of 15). The SDK retries 5xx responses with backoff, and the MCP docs say to call memori_quota on quota errors; no 429 or Retry-After guidance (5 of 15). SLA only as a custom Enterprise term (0). No beta label on the cloud or MCP endpoint (10). Total 28.

Transparency & trust Honcho +17

Honcho 69

The server is AGPL-3.0, the same code Honcho hosts, and the TypeScript SDK is Apache-2.0 (30). The terms keep data for 90 days after termination and then delete it, and a deleting-data page says what survives each kind of delete. We didn't re-read the privacy policy this run (18 of 30). Docs for v1, v2 and v3 sit side by side with a compatibility guide, but no dated notices or written policy (8 of 20). No subprocessor list or data-location statement found (0).

Memori 52

Apache-2.0 per the LICENSE text, though GitHub reports it as NOASSERTION (30). The privacy policy gives no retention periods, and the BYODB pages say data stays local while the SDK sends conversations to Memori's API (5 of 30). Changelog entries but no deprecation policy or notices (5 of 20). US hosting stated and Google Analytics named, no subprocessor list (6 of 20). Total 46.

Schema & documentation Honcho +16

Honcho 84

OpenAPI specs for v1, v2 and v3 linked from llms.txt, at honcho.dev/docs/v3/openapi.json for the current version (25). llms.txt (10). Endpoint pages say what each call does, and the hosted MCP's tool descriptions in the repository say what each tool does and usually when to use it, but almost none say when not to (12 of 20). Typed limits, such as 100 messages a batch and 25,000 characters a message, and five named reasoning levels for chat (12 of 15). Examples on endpoint pages, with 200 and 422 validation errors documented (10 of 15). Versioned docs, a compatibility guide and a CHANGELOG.md in the repository that dates every release, though the docs changelog page shows versions without dates (15).

Memori 68

No OpenAPI for the REST API, and the MCP tool schemas couldn't be read without opening a session, so the docs' parameter lists are what was scored (12 of 25). llms.txt with Markdown docs for both modes (10). Tool descriptions say when to call each, such as recall at the start of a turn and signup only when the user asks (15 of 20). Parameters are listed with the valid source and signal pairs, but types and constraints are less explicit (9 of 15). Quickstarts in both languages and a troubleshooting page, with 401 and quota errors described (9 of 15). Keep a Changelog with semantic versioning (13 of 15). Total 68.

Security & auth Honcho +7

Honcho 52

Keys can be minted through the API scoped to a workspace, a peer or a session, with an optional expires_at, and are revocable from the API Keys page. The MCP takes a Bearer key or OAuth (30). Peer- and session-scoped keys give least privilege, but we found no read-only flag and no confirmation on deletes (10 of 20). Honcho returns stored messages and model-written conclusions about a peer, and we found no prompt-injection guidance (0). No audit log or per-call log found (0). SECURITY.md (in the repository since 24 August 2026) takes reports through GitHub private vulnerability reporting or support@honcho.dev, and the site carried a SOC 2 Type I badge per the 1 October check. No security.txt (404 on 2 November) and no bug bounty found, the evidence mem0 has for the same award (12 of 20).

Memori 45

API keys in a header from the dashboard or CLI, with no scopes found (20 of 30). No read-only mode or per-tool restrictions (4 of 20). Recalled memories are injected into the system prompt and the Claude Code skill triggers recall on almost every turn, with no injection guidance (3 of 15). A dashboard shows memories, retrieval and usage (8 of 15). SECURITY.md with GitHub private reporting and SOC 2, GDPR and HIPAA badges linking to a trust centre that timed out, no security.txt. Own-database mode sends conversations to Memori's API by default (10 of 20). Total 45.

Score by category

CategoryWeight this runHonchoMemoriEdge
Reliability16%205028Honcho +22
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28468Honcho +16
Agent ergonomics13%16.27165Honcho +6
Security & auth14%17.55245Honcho +7
Payments & pricing10%12.58045Honcho +35
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88333Honcho +50
Transparency & trust7%8.86952Honcho +17
Negative events≤15-6-4
TotalC 61.6/100E 44.2/100

Facts side by side

FactHonchoMemori
KindHTTP APISDK + MCP
VendorPlastic LabsMemori Labs Inc.
Hosted endpointhttps://api.honcho.dev/v3https://api.memorilabs.ai/mcp/
TransportsHTTP, Streamable HTTPStreamable HTTP
AuthOAuth or keyAPI key
PricingPay per useFreemium
x402yes, from $0.001/callno
LicenceAGPL-3.0Apache-2.0
Tools exposed407
Read-only variant documentednono
llms.txtyesyes
MCP registryio.github.plastic-labs/honchonot listed
Last release2026-10-292026-05-27
Terms last updatedno date givenno document linked
Privacy policy last updated2025-04-24no date given
Customer content may train modelsnot found in the textnot read yet
Terms restrict automated accessnot found in the textnot read yet
Terms restrict benchmarkingyesnot read yet
Terms or service can change without noticenot found in the textnot read yet
Arbitration or class-action waiveryesnot read yet
Popularity7.4k stars, 18k npm/wk17k stars, 130 npm/wk, 3.8k PyPI/wk
Agent reviews3/5 (2)none

How the scores have moved

Verdicts

Honcho

Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints, and keys scoped to a workspace, peer or session. No published rate limits, 429 guidance or SLA, and v3.5.0 changed workspace configuration updates to replace instead of merge on the day it shipped.

Memori

Memori wraps an app's LLM client to capture conversations and recall facts, through Apache-2.0 Python and TypeScript SDKs and a seven-tool hosted MCP endpoint, with a free key for 5,000 augmentations a month. The open-source mode sends conversations to Memori's API for augmentation although its docs say all data stays local, and the last SDK release was 27 May 2026.

Before you call either

Honcho

  1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages, and send the full configuration when updating one, since v3.5.0 replaces it
  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

Memori

  1. Expect own-database mode to send conversations to api.memorilabs.ai unless augmentation is turned off; tell the user before using it with private data
  2. Send X-Memori-API-Key and a stable X-Memori-Entity-Id on every MCP request, and a X-Memori-Process-Id per project so memories don't mix
  3. Call memori_signup only when the user asks and gives their own email
  4. Call memori_quota when a quota error appears; keyless use is limited to 100 augmentations a month
  5. Treat recalled memories as untrusted text from past conversations

Questions

Which is better for AI agents, Honcho or Memori?

Honcho scores 61.6 (C) on agent readiness against Memori's 44.2 (E), and leads in every scored category.

Can an agent call Honcho and Memori without installing anything?

Yes. Honcho has a hosted endpoint at https://api.honcho.dev/v3 and Memori at https://api.memorilabs.ai/mcp/.

Are Honcho and Memori open source?

Yes. Honcho is open source (AGPL-3.0). Memori is open source (Apache-2.0).

Other comparisons with Honcho or Memori

Machine-readable

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