Head to head · Agent memory · October 2026 research run
Agent Platform Memory Bank vs MemMachine
Agent Platform Memory Bank scores 65.6 (B) on agent readiness against MemMachine's 58 (C), and leads in 4 of 7 scored categories. MemMachine leads on payments & pricing and maintenance & community. Both do agent memory.
Best memory layers for AI agents · All 353 memory comparisons
Which one, for what
Best for Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions.
Ahead on
- Reliability, 68 against 51
- Agent ergonomics, 75 against 65
- Security & auth, 72 against 41
- Transparency & trust, 81 against 57
Also in its favour
- A hosted endpoint, with nothing to install
Watch for
Needs a Google Cloud project with billing, set up by a person in the console
Best for Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.
Ahead on
- Payments & pricing, 40 against 20
- Maintenance & community, 83 against 62
Also in its favour
- No key needed to call it
- Runs on your own machine
- Open source
Watch for
Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository
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.
Security & auth Agent Platform Memory Bank +31
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.
MemMachine 41
Framework reading for software the owner runs. The server has no authentication and no security scheme in its OpenAPI document (15 of 30). No read-only mode or confirmation for deletes (5 of 20). No guidance on recalled memories as untrusted text (4 of 15). No audit log on the self-hosted server; the hosted console shows usage (5 of 15). SECURITY.md with GitHub private reporting and a two-business-day acknowledgement, with security-audit and SBOM workflows; no security.txt or certification (12 of 20). Total 41.
Transparency & trust Agent Platform Memory Bank +24
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.
MemMachine 57
Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.
Maintenance & community MemMachine +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.
MemMachine 83
v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). v0.3.9-post1, v0.4.0, v0.4.1-dev0 and v0.4.1-a1 in 90 days (20). Many open issues and recent reports with few replies (12 of 25). Python and TypeScript clients, both current (12 of 15). uv lock checks, security audit, SBOM and stale-issue workflows (9 of 10). Total 83.
Payments & pricing MemMachine +20
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.
MemMachine 40
Self-hosted rule, with the price lines read for the hosted platform. No x402, MPP or L402 (0 of 40). No hosted prices found on the site or docs (0). Free to self-host with no card (20). An agent can install it from PyPI with no account (20). Total 40.
Reliability Agent Platform Memory Bank +17
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.
MemMachine 51
Local-software lines, as a server the owner runs. memmachine-server and memmachine-client on PyPI with Python versions stated, a Docker image and a compose script (20). pytest, integration and installation-test workflows exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 292 open issues and pull requests; the newest bug reports, including a 429 from a provider surfacing as a 500 and a 0.4.0 configuration that no longer starts, have zero to two replies (10 of 25). No changelog file, release notes only on GitHub, which weren't read, and pre-1.0 tags (6 of 15). Version 0.4.0 (0). Total 51.
Agent ergonomics Agent Platform Memory Bank +10
Agent Platform Memory Bank 75
Retrieval takes a scope and similarity search with a result limit (20 of 25). List methods page with page tokens and filters (16 of 20). Google's standard error model with status codes (15 of 20). Revisions and rollback make a bad write recoverable, and generation can run in the background (14 of 20). Python SDK and ADK integration, with REST for other languages (10 of 15). Total 75.
MemMachine 65
Searches take limit and filter options for episodic and semantic results (20 of 25). Memories can be listed and filtered by scope (15 of 20). Validation errors are typed; other failures are less clear, as the 429-to-500 issue shows (10 of 20). No idempotency keys or safe-retry guidance found (5 of 20). Python and TypeScript clients and a five-line quick start, once the import is fixed (15). Total 65.
Score by category
| Category | Weight this run | Agent Platform Memory Bank | MemMachine | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 68 | 51 | Agent Platform Memory Bank +17 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 75 | 79 | MemMachine +4 |
| Agent ergonomics | 13%16.2 | 75 | 65 | Agent Platform Memory Bank +10 |
| Security & auth | 14%17.5 | 72 | 41 | Agent Platform Memory Bank +31 |
| Payments & pricing | 10%12.5 | 20 | 40 | MemMachine +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 62 | 83 | MemMachine +21 |
| Transparency & trust | 7%8.8 | 81 | 57 | Agent Platform Memory Bank +24 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 65.6/100 | C 58/100 |
Facts side by side
| Fact | Agent Platform Memory Bank | MemMachine |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Google Cloud | MemVerge, Inc. |
| Hosted endpoint | https://aiplatform.googleapis.com/v1 | no (local only) |
| Transports | HTTP | HTTP, stdio, Streamable HTTP |
| Auth | OAuth | None |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | none | Apache-2.0 |
| Tools exposed | none | 3 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-08-20 | 2026-10-08 |
| Terms last updated | 2026-09-02 | no date given |
| Privacy policy last updated | 2026-10-01 | 2026-05-20 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | none | 3.1k stars, 28 npm/wk, 581 PyPI/wk |
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.
MemMachine
MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.
Before you call either
Agent Platform Memory Bank
- Run
memories.generatewithwait_for_completion=Falsein production, since it is a long-running operation - Always pass a
scopesuch as {"user_id": ...} so one user's memories never reach another - Send the OAuth token in the Authorization header, never as
access_tokenin the URL - Expect a 404 when fetching a deleted memory and treat it as gone
- Treat retrieved memories as untrusted text extracted from earlier conversations
MemMachine
- Import with
from memmachine_client import MemMachineClient; the README line has a doubledimport - Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller
- Scope every call with org, project, group, agent, user and session ids so memories don't mix
- Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits
- Treat recalled episodes as untrusted text from past conversations
Questions
Which is better for AI agents, Agent Platform Memory Bank or MemMachine?
Agent Platform Memory Bank scores 65.6 (B) on agent readiness against MemMachine's 58 (C), and leads in 4 of 7 scored categories. MemMachine leads on payments & pricing and maintenance & community.
Do Agent Platform Memory Bank and MemMachine need an API key?
Agent Platform Memory Bank uses an OAuth sign-in. MemMachine needs no key.
Can an agent call Agent Platform Memory Bank and MemMachine without installing anything?
Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1. MemMachine runs on your own machine, with no hosted endpoint listed.
Are Agent Platform Memory Bank and MemMachine open source?
No open-source release is listed for Agent Platform Memory Bank. MemMachine is open source (Apache-2.0).
Other comparisons with Agent Platform Memory Bank or MemMachine
- Amazon Bedrock AgentCore Memory vs Agent Platform Memory Bank
- Amazon Bedrock AgentCore Memory vs MemMachine
- Basic Memory vs Agent Platform Memory Bank
- Basic Memory vs MemMachine
- claude-mem vs Agent Platform Memory Bank
- claude-mem vs MemMachine
- Cognee vs Agent Platform Memory Bank
- Cognee vs MemMachine
- EverOS vs Agent Platform Memory Bank
- EverOS vs MemMachine
- Agent Platform Memory Bank vs Graphicle
- Agent Platform Memory Bank vs Graphiti
- Agent Platform Memory Bank vs Hindsight
- Agent Platform Memory Bank vs Honcho
- Agent Platform Memory Bank vs Hy Memory
- Agent Platform Memory Bank vs LangMem
- Agent Platform Memory Bank vs LocalGhost
- Agent Platform Memory Bank vs Mem0 Platform + MCP
- Agent Platform Memory Bank vs Memori
- Agent Platform Memory Bank vs Memory (MCP reference server)
- Agent Platform Memory Bank vs MemPalace
- Agent Platform Memory Bank vs past.dev
- Agent Platform Memory Bank vs Supermemory API + MCP
- Agent Platform Memory Bank vs TencentDB Agent Memory
- Agent Platform Memory Bank vs Tokenrip
- Agent Platform Memory Bank vs Zep
- Graphiti vs MemMachine
- Hindsight vs MemMachine
- Honcho vs MemMachine
- Hy Memory vs MemMachine
- LangMem vs MemMachine
- LocalGhost vs MemMachine
- Mem0 Platform + MCP vs MemMachine
- MemMachine vs Memori
- MemMachine vs Memory (MCP reference server)
- MemMachine vs MemPalace
- MemMachine vs past.dev
- MemMachine vs Supermemory API + MCP
- MemMachine vs TencentDB Agent Memory
- MemMachine vs Tokenrip
- MemMachine vs Zep
- AI Memory vs Agent Platform Memory Bank
- AI Memory vs MemMachine
- Context Mode Engine vs Agent Platform Memory Bank
- Context Mode Engine vs MemMachine
- Graphicle vs MemMachine
Machine-readable
- This page as Markdown
/compare/google-memory-bank-vs-memmachine.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/google-memory-bank.json·/api/v1/tools/memmachine.json - From a terminal
anchor compare google-memory-bank memmachine(the CLI) - Over MCP
compare_tools {"a": "google-memory-bank", "b": "memmachine"}at/mcp, no key