Head to head · Agent memory · October 2026 research run

Agent Platform Memory Bank vs Honcho

Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema & documentation, payments & pricing and maintenance & community. Both do agent memory. Honcho accepts x402. Agent Platform Memory Bank doesn't.

Best memory layers for AI agents · All 353 memory comparisons

Which one, for what

Agent Platform Memory Bank B

Best for Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions.

Ahead on

  • Reliability, 68 against 50
  • Security & auth, 72 against 52
  • Transparency & trust, 81 against 69

Also in its favour

  • No incidents deducted, where Honcho loses 6 points for them

Watch for

Needs a Google Cloud project with billing, set up by a person in the console

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

  • Schema & documentation, 84 against 75
  • Payments & pricing, 80 against 20
  • Maintenance & community, 83 against 62

Also in its favour

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

Watch for

No published rate limits, 429 guidance or SLA

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.

Payments & pricing Honcho +60

Agent Platform Memory Bank 20

No x402, MPP or L402 (0). Storage, read and write prices are published without a login (20). No Memory Bank free tier found (0). A person creates the project, enables billing and sets up IAM in the console (0). Total 20.

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).

Maintenance & community Honcho +21

Agent Platform Memory Bank 62

The newest Memory Bank release notes are of 20 August 2026 (IngestEvents GA, metadata, Gemini Embedding 2), 78 days before the check, and billing started on 1 September (20). Three Memory Bank entries in the 90 days, all on 20 August (10 of 20). Public release notes and Cloud Customer Care (12 of 15). google-cloud-agentplatform 2.7.0 on 28 October 2026, twelve releases in 90 days per its PyPI release feed, plus ADK (15). SDK test status not checked (5 of 10). Total 62.

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).

Security & auth Agent Platform Memory Bank +20

Agent Platform Memory Bank 72

OAuth 2.0 with IAM and service accounts (30), less 10, as for the other Google API listings, because the v1 discovery document lists access_token, oauth_token and key as query parameters (20 of 30). IAM Conditions can restrict access by memory scope; purge and delete have no confirmation (15 of 20). Memories are written by an LLM from conversation content and returned to agents, with no injection guidance found (5 of 15). Access Transparency and Access Approval are listed; Cloud Audit Logs coverage for Memory Bank wasn't read (12 of 15). Google's valid security.txt, vulnerability reward programme and certifications, with HIPAA listed for Memory Bank (20). Total 72.

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).

Reliability Agent Platform Memory Bank +18

Agent Platform Memory Bank 68

Hosted lines. Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November 2026, holds four incidents since 8 August (20 August, 27 products; 1 September, us-central1-b; 8 October, Cloud Storage; 20 October, europe-west2, 38 products), and none names Agent Platform, Vertex or Memory Bank (30). No Memory Bank quotas or rate limits were found; the platform quotas path guessed returned 404 (0, unchecked). Generation is a long-running operation with wait and cancel methods, and Google's retry guidance wasn't re-read for this API (8 of 15). No SLA for Memory Bank was found in the pages read (0, unchecked). Memory profiles, IngestEvents and multi-regional endpoints are GA (10). Total 68.

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).

Transparency & trust Agent Platform Memory Bank +12

Agent Platform Memory Bank 81

Closed service under the Google Cloud terms (15). Data residency at rest, CMEK and the Cloud Data Processing Addendum apply; no Memory Bank retention period or time-to-live was read (20 of 30). The rename was announced in the release notes with old and new names listed, and Google's deprecation policy covers GA services (14 of 20). Google Cloud's subprocessor list and regional endpoints are published (16 of 20). Total 65.

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).

Schema & documentation Honcho +9

Agent Platform Memory Bank 75

Google's discovery document is a machine-readable contract for every memory method (25). No llms.txt or Markdown docs found (0). Method descriptions are 13 to 39 characters, one-line summaries, while the guides explain when to generate from sessions or from direct facts (12 of 20). Typed schemas with required fields in the discovery document (12 of 15). Python examples, a troubleshooting page and a documented 404 for deleted memories (11 of 15). v1 and v1beta1 and dated release notes (15). Total 75.

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).

Score by category

CategoryWeight this runAgent Platform Memory BankHonchoEdge
Reliability16%206850Agent Platform Memory Bank +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27584Honcho +9
Agent ergonomics13%16.27571Agent Platform Memory Bank +4
Security & auth14%17.57252Agent Platform Memory Bank +20
Payments & pricing10%12.52080Honcho +60
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86283Honcho +21
Transparency & trust7%8.88169Agent Platform Memory Bank +12
Negative events≤150-6
TotalB 65.6/100C 61.6/100

Facts side by side

FactAgent Platform Memory BankHoncho
KindHTTP APIHTTP API
VendorGoogle CloudPlastic Labs
Hosted endpointhttps://aiplatform.googleapis.com/v1https://api.honcho.dev/v3
TransportsHTTPHTTP, Streamable HTTP
AuthOAuthOAuth or key
PricingPay per usePay per use
x402noyes, from $0.001/call
LicencenoneAGPL-3.0
Tools exposednone40
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listedio.github.plastic-labs/honcho
Last release2026-08-202026-10-29
Terms last updated2026-09-02no date given
Privacy policy last updated2026-10-012025-04-24
Customer content may train modelsyesnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularitynone7.4k stars, 18k npm/wk
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

Agent Platform Memory Bank

Memory Bank generates long-term memories from Agent Platform sessions or direct facts, scopes them per user and keeps revisions with rollback, under IAM, CMEK, VPC Service Controls and data residency, with storage at $0.30 per GiB-month. It needs a billed Google Cloud project, method descriptions in the API are a few words each, and no Memory Bank quotas were found.

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.

Before you call either

Agent Platform Memory Bank

  1. Run memories.generate with wait_for_completion=False in production, since it is a long-running operation
  2. Always pass a scope such as {"user_id": ...} so one user's memories never reach another
  3. Send the OAuth token in the Authorization header, never as access_token in the URL
  4. Expect a 404 when fetching a deleted memory and treat it as gone
  5. Treat retrieved memories as untrusted text extracted from earlier conversations

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

Questions

Which is better for AI agents, Agent Platform Memory Bank or Honcho?

Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema & documentation, payments & pricing and maintenance & community.

Do Agent Platform Memory Bank and Honcho need an API key?

Agent Platform Memory Bank uses an OAuth sign-in. Honcho takes an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.

Can an agent call Agent Platform Memory Bank and Honcho without installing anything?

Yes. Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1 and Honcho at https://api.honcho.dev/v3.

Are Agent Platform Memory Bank and Honcho open source?

No open-source release is listed for Agent Platform Memory Bank. Honcho is open source (AGPL-3.0).

Other comparisons with Agent Platform Memory Bank or Honcho

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