{ "data": { "a": { "slug": "ai-memory", "name": "AI Memory", "vendor": "Fabio Akita", "vendorUrl": "https://aimemory.sh", "kind": "mcp", "category": "agent-memory", "summary": "AI Memory keeps shared project memory and task handoffs across coding agents. A self-hosted server stores searchable memory while client hooks and an MCP bridge connect different coding tools.", "url": "https://www.anchorterminal.com/tools/ai-memory", "markdownUrl": "https://www.anchorterminal.com/tools/ai-memory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ai-memory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ai-memory.json", "dns": "ai-memory.grade.anchorterminal.com", "repo": "https://github.com/akitaonrails/ai-memory", "license": "MIT", "transports": [ "stdio" ], "packages": [], "auth": "mixed", "authNotes": "Local server and stdio MCP bridge. Fresh initialisation creates a root bearer token. Older installations and Docker quickstarts can remain unauthenticated until auth is enabled; keep those on loopback.", "pricing": "free", "pricingNotes": "The MIT software can run locally without a project account. Search has a zero-LLM mode; optional consolidation or configured model use can incur provider charges. Hosting costs are the operator’s responsibility.", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "No machine payment protocol established in the reviewed project documentation.", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 10684, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://github.com/akitaonrails/ai-memory#readme", "capabilities": [ "memory.search", "memory.write", "agent.handoff" ], "tags": [ "agent-memory", "mcp", "free" ], "lastRelease": "2026-11-03", "graded": true, "anchor": { "graded": true, "score": 65, "grade": "B", "agentReady": false, "rank": 438, "ranked": true, "rankOf": 1486, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 50, "payments": 60, "reliability": 65, "schema": 90, "security": 65, "transparency": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "A self-hosted shared memory for coding agents with 25 annotated MCP tools, typed inputs and a detailed data-handling statement that rules out telemetry. Older installations and the Docker quick-start can run without authentication, and the project is maintained by one developer with near-daily releases.", "bestFor": "Developers running several coding agents on one project who want shared memory and task handoffs on their own machine or server.", "strengths": [ "25 MCP tools with typed JSON Schema inputs and read-only, destructive and idempotent annotations on every one", "No analytics, crash reporting or update check in the binary, per DATA_HANDLING.md", "68 tagged releases from 6 August to 3 November 2026, with a Keep a Changelog file", "Cross-agent task handoffs and shared search, with local embeddings by default", "SECURITY.md with private advisory reporting and a 7-day response time" ], "weaknesses": [ "Existing deployments and the Docker quick-start may still lack authentication", "Shared memory needs capture and permission controls to keep secrets out", "Security fixes such as the 3.3.3 secret-redaction fix ship in changelog prose with no advisory", "Not in the official MCP registry" ], "agentNotes": [ "Check authentication with `ai-memory status --json` before exposing the server beyond loopback.", "Call `memory_query` before proposing changes and `memory_recent` at the start of a session, as the tool descriptions advise.", "Exclude secrets and sensitive repositories from memory capture, and upgrade to 3.3.3 or later for JSON-escaped secret redaction.", "Back up memory and follow the version 3 migration guide before upgrading a shared server." ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 65 } ], "editorialScores": { "ergonomics": 60, "maintenance": 50, "payments": 60, "reliability": 65, "schema": 90, "security": 65, "transparency": 75 }, "provenanceScore": 25, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/ai-memory" }, "area": "agent-runtime", "provenance": { "legalEntity": "", "domain": "aimemory.sh", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/LICENSE", "privacy": "", "statusPage": "", "changelog": "https://github.com/akitaonrails/ai-memory/releases", "securityTxt": "unknown", "checked": "2026-10-19", "notes": [ "Assessment covers the named repository. No ownership claim or domain registration was verified." ], "score": 25 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ai-memory.json", "live": { "slug": "ai-memory", "versions": [ { "registry": "github", "name": "akitaonrails/ai-memory", "version": "v3.4.3", "released": "2026-11-06", "seenAt": "2026-11-06T23:04:27.912490585Z" } ], "githubStars": 15285, "securityTxt": { "url": "https://aimemory.sh/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:08.077689547Z" }, "domain": { "domain": "aimemory.sh", "checkedAt": "2026-11-01T14:21:53.904526826Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/CHANGELOG.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:19:47.691525425Z", "changedAt": "2026-11-07T14:19:47.691525425Z", "fingerprint": "59b77a4c9acc" }, { "url": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/LICENSE", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:19:49.801493754Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "89b846adb1df" } ], "github": { "repo": "akitaonrails/ai-memory", "checkedAt": "2026-11-02T08:24:26.25249857Z", "stars": 14877, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-01T04:10:53Z", "openIssues": 22, "openPRs": 16, "issuesOpened90d": 508, "issuesClosed90d": 488, "prsMerged90d": 934, "ci": { "branch": "main", "runs": 50, "success": 36, "failure": 3, "other": 11, "latest": "cancelled", "latestAt": "2026-11-01T01:40:07Z" }, "advisories": [ { "ghsa": "GHSA-pphw-hm98-3wh4", "severity": "low", "published": "2026-10-29T16:27:56Z" }, { "ghsa": "GHSA-55q2-6fgm-49ww", "severity": "medium", "published": "2026-10-26T15:48:00Z" }, { "ghsa": "GHSA-xq2v-cxgh-5prh", "severity": "low", "published": "2026-10-26T15:47:59Z" }, { "ghsa": "GHSA-jpcg-w5c5-wcv6", "severity": "low", "published": "2026-10-26T15:47:44Z" }, { "ghsa": "GHSA-9xw8-cg9v-h9gw", "severity": "high", "published": "2026-10-19T17:50:46Z" }, { "ghsa": "GHSA-gcpc-88hm-3xqr", "severity": "low", "published": "2026-10-12T06:48:54Z" }, { "ghsa": "GHSA-6mc4-46pr-w82w", "severity": "medium", "published": "2026-10-12T06:48:53Z" }, { "ghsa": "GHSA-7qj3-7wqw-m5w6", "severity": "medium", "published": "2026-10-09T03:12:01Z" }, { "ghsa": "GHSA-2jrq-p5rw-6wvv", "severity": "low", "published": "2026-10-09T03:11:16Z" }, { "ghsa": "GHSA-vh98-jf5c-jw45", "severity": "low", "published": "2026-10-01T07:42:19Z" }, { "ghsa": "GHSA-gf78-hf8g-vffm", "severity": "low", "published": "2026-10-01T07:42:18Z" } ], "replies": { "sampled": 12, "unanswered": 1, "medianDays": 0.1 } }, "updatedAt": "2026-11-07T16:01:08.077689547Z" } }, "answer": "Agent Platform Memory Bank and AI Memory score within a point of each other on agent readiness, 65.6 (B) and 65 (B). AI Memory leads on schema \u0026 documentation and payments \u0026 pricing.", "b": { "slug": "google-memory-bank", "name": "Agent Platform Memory Bank", "vendor": "Google Cloud", "vendorUrl": "https://cloud.google.com/products/gemini-enterprise-agent-platform", "kind": "http-api", "category": "agent-memory", "summary": "Agent Platform Memory Bank, formerly Vertex AI Agent Engine Memory Bank, is Google Cloud's managed long-term memory for agents. It generates, stores and retrieves user-scoped memories through the Agent Platform API, Python SDK and ADK.", "url": "https://www.anchorterminal.com/tools/google-memory-bank", "markdownUrl": "https://www.anchorterminal.com/tools/google-memory-bank.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-memory-bank.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json", "dns": "google-memory-bank.grade.anchorterminal.com", "transports": [ "http" ], "remoteUrl": "https://aiplatform.googleapis.com/v1", "packages": [ { "registry": "pypi", "name": "google-cloud-agentplatform" }, { "registry": "pypi", "name": "google-adk" } ], "auth": "oauth", "authNotes": "OAuth 2.0 bearer tokens from a service account or gcloud on a Google Cloud project with billing and the API enabled. IAM roles and IAM Conditions control access to Memory Bank, down to memory scope per the IAM conditions guide.", "pricing": "usage", "pricingNotes": "Billed since 1 September 2026 at $0.30 per GiB-month of storage including revisions, and one Agent Compute vCPU-hour ($0.085) per 3 million reads or 1 million writes. Model tokens for generation and embeddings are billed under their model SKUs. No Memory Bank free tier found.", "priceSummary": "$0.0001 / 1k req", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the aiplatform API or in the Memory Bank docs and pricing (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/scale/memory-bank", "openapi": "https://aiplatform.googleapis.com/$discovery/rest?version=v1", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "hosted", "usage-priced", "closed-source", "card-required", "enterprise", "python", "async-jobs", "google-cloud" ], "lastRelease": "2026-08-20", "graded": true, "anchor": { "graded": true, "score": 65.6, "grade": "B", "agentReady": false, "rank": 412, "ranked": true, "rankOf": 1486, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 62, "payments": 20, "reliability": 68, "schema": 75, "security": 72, "transparency": 81 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "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.", "bestFor": "Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions.", "strengths": [ "Memories are scoped by fields such as user_id, retrieved by similarity search and kept with an immutable revision history that can be rolled back", "IngestEvents (GA on 20 August 2026) streams events and triggers generation by volume or time", "IAM Conditions, CMEK, VPC Service Controls, data residency at rest, HIPAA and Access Transparency are listed as supported", "Usage prices are published, $0.30 per GiB-month stored and $0.085 per 3 million reads or 1 million writes, plus model tokens", "Google Cloud's status dashboard shows no incident naming the platform in the 90 days to 6 November 2026" ], "weaknesses": [ "Needs a Google Cloud project with billing, set up by a person in the console", "Method descriptions in the discovery document are 13 to 39 characters long", "No Memory Bank quotas or rate limits were found in the pages read", "Generation runs an LLM over conversations, with no prompt-injection guidance found", "Renamed from Vertex AI Agent Engine Memory Bank on 22 April 2026, so docs, SDKs and the REST paths (`reasoningEngines`, `memoryBanks`) use different names" ], "agentNotes": [ "Run `memories.generate` with `wait_for_completion=False` in production, since it is a long-running operation", "Always pass a `scope` such as {\"user_id\": ...} so one user's memories never reach another", "Send the OAuth token in the Authorization header, never as `access_token` in 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" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 65.6 } ], "editorialScores": { "ergonomics": 75, "maintenance": 62, "payments": 20, "reliability": 68, "schema": 75, "security": 72, "transparency": 65 }, "provenanceScore": 97, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-cloud-agentplatform" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/google-memory-bank" }, "sameCompany": [ "gemini-api", "vertex-ai", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "agent-runtime", "unitPrices": [ { "item": "Memory storage including revisions", "unit": "gb-month", "usd": 0.3, "note": "Billed as Agent Storage since 1 September 2026" }, { "item": "Memory writes", "unit": "1k-requests", "usd": 0.000085, "note": "$0.085 per 1 million writes; reads are $0.085 per 3 million" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "domainNote": "The endpoint is on googleapis.com, Google's API domain.", "endpointOnVendorDomain": true, "terms": "https://cloud.google.com/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://status.cloud.google.com", "changelog": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "Entity, domain, terms, privacy policy and security.txt are those of the other Google Cloud listings (google-model-armor, vertex-ai-tuning), not looked up again.", "docs.cloud.google.com and cloud.google.com robots.txt allow the Memory Bank, release-notes and pricing paths read.", "The pricing page was read with curl because it is over 16 MB." ], "score": 97 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-memory-bank.json", "live": { "slug": "google-memory-bank", "probe": { "target": "https://aiplatform.googleapis.com/v1", "method": "get", "lastAt": "2026-11-07T18:20:27.725315811Z", "lastOk": true, "lastStatus": 404, "lastMs": 765, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 664, "p95ms24h": 752, "samples24h": 200, "samples30d": 200, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "versions": [ { "registry": "pypi", "name": "google-adk", "version": "2.13.0", "released": "2026-10-23", "seenAt": "2026-11-06T23:29:40.592483472Z" }, { "registry": "pypi", "name": "google-cloud-agentplatform", "version": "2.7.0", "released": "2026-10-28", "seenAt": "2026-11-06T23:29:40.399171204Z" } ], "pypiWeekly": 102081, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-07T16:01:22.068349931Z" }, "pages": [ { "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:05:40.442097724Z", "changedAt": "2026-11-07T14:05:40.442097724Z", "fingerprint": "5aae3bc64910" } ], "updatedAt": "2026-11-07T18:20:27.725315811Z" } }, "edges": [ { "by": 40, "category": "payments", "leads": "ai-memory", "name": "Payments \u0026 pricing", "reasons": { "a": "Free self-hosted MIT software with nothing to buy (20 clear zero price, 20 free access, 20 no account). No machine payment protocol (0). Optional cloud embedding or LLM providers bill separately. 0+20+20+20 = 60.", "b": "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." }, "scores": { "a": 60, "b": 20 } }, { "by": 31, "category": "transparency", "leads": "google-memory-bank", "name": "Transparency \u0026 trust", "reasons": { "a": "MIT source (30). DATA_HANDLING.md and SECURITY.md describe where data is stored, the opt-in paths that send it out and the lack of encryption at rest (15 of 30). Dated 3.0.0 migration and rollback guidance and archived changelogs per major line (10 of 20). DATA_HANDLING.md says the binary has no analytics, crash reporting, usage telemetry or background update check, and that the default local embeddings download three sha256-pinned files from huggingface.co on first start, avoidable with `embedding_provider = \"none\"` (20, from 0). 30+15+10+20 = 75.", "b": "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." }, "scores": { "a": 50, "b": 81 } }, { "by": 15, "category": "schema", "leads": "ai-memory", "name": "Schema \u0026 documentation", "reasons": { "a": "25 MCP tools in crates/ai-memory-mcp/src/server.rs. Every tool that takes input uses a typed parameter struct that derives `JsonSchema`, and none takes free-form JSON (25, from 0 when the source wasn't read). Markdown guides in the repository, including `INSTALL_FOR_AGENTS.md` (10). Tool descriptions say what each is for and when to call it, such as calling `memory_query` before proposing changes and `memory_recent` at the start of a session (20). Typed inputs with documented fields (10 of 15). Setup and recovery examples (10 of 15). Releases and a dated changelog (15). 25+10+20+10+10+15 = 90.", "b": "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." }, "scores": { "a": 90, "b": 75 } }, { "by": 15, "category": "ergonomics", "leads": "google-memory-bank", "name": "Agent ergonomics", "reasons": { "a": "25 tools with long descriptions in one set, and no toolsets or read-only subset found (15). Search takes scope and filters, and recent pages take a count (20). Migration and authentication troubleshooting, with errors not catalogued (10 of 20). Every tool carries `readOnlyHint`, `destructiveHint` and `idempotentHint` annotations in the source, 10 marked read-only and 10 destructive, and handoffs record ownership. No idempotency keys on writes. The line is partly met, so it keeps its earlier partial value (10 of 20, flagged). Client bridge defaults and setup commands, with one language (5 of 15). 15+20+10+10+5 = 60.", "b": "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." }, "scores": { "a": 60, "b": 75 } }, { "by": 12, "category": "maintenance", "leads": "google-memory-bank", "name": "Maintenance \u0026 community", "reasons": { "a": "v3.3.3 of 3 November 2026 (30). 68 tags from 6 August to 3 November, from v2.x through v3.3.3 (20). Issue and pull-request replies couldn't be read (github.com refused) (0). Not in the official MCP registry, and the repository has no server.json (0 of 15). Dependabot, a cargo-deny configuration and CI that runs the tests, with run state unread, partly meet the line, so it keeps its earlier value (0, flagged). 30+20+0+0+0 = 50.", "b": "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." }, "scores": { "a": 50, "b": 62 } }, { "by": 7, "category": "security", "leads": "google-memory-bank", "name": "Security \u0026 auth", "reasons": { "a": "A fresh `init` creates a root bearer token in an owner-only file, with multi-user API keys and OIDC as options. Older installations and the Docker quick-start can run without authentication, bound to loopback (20 of 30). Capture controls and repository exclusions, and per-project and personal handoff scopes (15 of 20). docs/security-boundaries.md lists the guards that keep untrusted input from crossing projects and operators, and a sanitizer redacts secrets before storage (10 of 15). Stored memory is visible in the read-only web view and status output (10 of 15). SECURITY.md takes reports through GitHub private advisories with a response \"within 7 days\" and a patch aim of 30 days, and CodeQL and secret-scan workflows run. No bug bounty or certification (10 of 20, from 0). 20+15+10+10+10 = 65.", "b": "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." }, "scores": { "a": 65, "b": 72 } } ], "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "Fabio Akita", "b": "Google Cloud", "name": "Vendor" }, { "a": "no (local only)", "b": "https://aiplatform.googleapis.com/v1", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "none", "name": "Licence" }, { "a": "25", "b": "none", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-11-03", "b": "2026-08-20", "name": "Last release" }, { "a": "no date given", "b": "2026-09-02", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "11k stars", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Agent Platform Memory Bank and AI Memory score within a point of each other on agent readiness, 65.6 (B) and 65 (B). AI Memory leads on schema \u0026 documentation and payments \u0026 pricing.", "question": "Which is better for AI agents, AI Memory or Agent Platform Memory Bank?" }, { "answer": "AI Memory takes an API key or an OAuth sign-in. Agent Platform Memory Bank uses an OAuth sign-in.", "question": "Do AI Memory and Agent Platform Memory Bank need an API key?" }, { "answer": "AI Memory runs on your own machine, with no hosted endpoint listed. Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1.", "question": "Can an agent call AI Memory and Agent Platform Memory Bank without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 90 against 75", "Payments \u0026 pricing, 60 against 20" ], "also": [ "Runs on your own machine" ], "goodFor": "Developers running several coding agents on one project who want shared memory and task handoffs on their own machine or server.", "slug": "ai-memory", "watchFor": "Existing deployments and the Docker quick-start may still lack authentication" }, { "aheadOn": [ "Agent ergonomics, 75 against 60", "Security \u0026 auth, 72 against 65", "Maintenance \u0026 community, 62 against 50", "Transparency \u0026 trust, 81 against 50" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions.", "slug": "google-memory-bank", "watchFor": "Needs a Google Cloud project with billing, set up by a person in the console" } ], "history": { "ai-memory": [ { "causes": [ "evidence", "correction" ], "date": "2026-11-04", "delta": 8.9, "from": 56.1, "fromGrade": "C", "to": 65, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-27", "delta": 0.4, "from": 55.7, "fromGrade": "C", "to": 56.1, "toGrade": "C" } ], "google-memory-bank": null }, "job": { "capability": "memory.search", "name": "Memory search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-google-memory-bank.json", "title": "Amazon Bedrock AgentCore Memory vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-google-memory-bank.json", "title": "Basic Memory vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-google-memory-bank.json", "title": "claude-mem vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-google-memory-bank.json", "title": "Cognee vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/cognee-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.json", "title": "EverOS vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/everos-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.json", "title": "Agent Platform Memory Bank vs Graphicle", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphiti.json", "title": "Agent Platform Memory Bank vs Graphiti", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-hindsight.json", "title": "Agent Platform Memory Bank vs Hindsight", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.json", "title": "Agent Platform Memory Bank vs Honcho", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory.json", "title": "Agent Platform Memory Bank vs Hy Memory", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem.json", "title": "Agent Platform Memory Bank vs LangMem", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-localghost.json", "title": "Agent Platform Memory Bank vs LocalGhost", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0.json", "title": "Agent Platform Memory Bank vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.json", "title": "Agent Platform Memory Bank vs MemMachine", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memori.json", "title": "Agent Platform Memory Bank vs Memori", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memory-reference-server.json", "title": "Agent Platform Memory Bank vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mempalace.json", "title": "Agent Platform Memory Bank vs MemPalace", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-past-dev.json", "title": "Agent Platform Memory Bank vs past.dev", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory.json", "title": "Agent Platform Memory Bank vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-tencentdb-agent-memory.json", "title": "Agent Platform Memory Bank vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-tokenrip.json", "title": "Agent Platform Memory Bank vs Tokenrip", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-zep.json", "title": "Agent Platform Memory Bank vs Zep", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.json", "title": "Amazon Bedrock AgentCore Memory vs AI Memory", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-basic-memory.json", "title": "AI Memory vs Basic Memory", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-basic-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-claude-mem.json", "title": "AI Memory vs claude-mem", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-claude-mem" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json", "title": "AI Memory vs Cognee", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json", "title": "AI Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-everos.json", "title": "AI Memory vs EverOS", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.json", "title": "AI Memory vs Graphicle", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.json", "title": "AI Memory vs Graphiti", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json", "title": "AI Memory vs Hindsight", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho.json", "title": "AI Memory vs Honcho", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.json", "title": "AI Memory vs Hy Memory", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj.json", "title": "AI Memory vs Khoj", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem.json", "title": "AI Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json", "title": "AI Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.json", "title": "AI Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-memori.json", "title": "AI Memory vs Memori", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mempalace.json", "title": "AI Memory vs MemPalace", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-past-dev.json", "title": "AI Memory vs past.dev", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.json", "title": "AI Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory.json", "title": "AI Memory vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.json", "title": "AI Memory vs Tokenrip", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-zep.json", "title": "AI Memory vs Zep", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.json", "title": "Context Mode Engine vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.json", "title": "AI Memory vs Egoist AI Passport", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport" } ], "panel": null, "scores": [ { "ai-memory": 65, "by": 3, "edge": "google-memory-bank", "google-memory-bank": 68, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "ai-memory": 90, "by": 15, "edge": "ai-memory", "google-memory-bank": 75, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "ai-memory": 60, "by": 15, "edge": "google-memory-bank", "google-memory-bank": 75, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "ai-memory": 65, "by": 7, "edge": "google-memory-bank", "google-memory-bank": 72, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "ai-memory": 60, "by": 40, "edge": "ai-memory", "google-memory-bank": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "ai-memory": 50, "by": 12, "edge": "google-memory-bank", "google-memory-bank": 62, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "ai-memory": 50, "by": 31, "edge": "google-memory-bank", "google-memory-bank": 81, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Agent Platform Memory Bank and AI Memory score within a point of each other on agent readiness, 65.6 (B) and 65 (B). AI Memory leads on schema \u0026 documentation and payments \u0026 pricing. Both do memory search.", "tasks": null, "tutorials": [], "verdicts": { "ai-memory": "A self-hosted shared memory for coding agents with 25 annotated MCP tools, typed inputs and a detailed data-handling statement that rules out telemetry. Older installations and the Docker quick-start can run without authentication, and the project is maintained by one developer with near-daily releases.", "google-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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank", "json": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.min.md" }, "markdown": "Agent Platform Memory Bank and AI Memory score within a point of each other on agent readiness, 65.6 (B) and 65 (B). AI Memory leads on schema \u0026 documentation and payments \u0026 pricing. Both do memory search.\n\n- AI Memory: grade B, 65/100, rank #438 of 1486. Markdown https://www.anchorterminal.com/tools/ai-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/ai-memory.json\n- Agent Platform Memory Bank: grade B, 65.6/100, rank #412 of 1486. Markdown https://www.anchorterminal.com/tools/google-memory-bank.md · JSON https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### AI Memory (B)\n\nGood for: Developers running several coding agents on one project who want shared memory and task handoffs on their own machine or server.\n\nAhead on:\n- Schema \u0026 documentation, 90 against 75\n- Payments \u0026 pricing, 60 against 20\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Existing deployments and the Docker quick-start may still lack authentication\n\n### Agent Platform Memory Bank (B)\n\nGood for: Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions.\n\nAhead on:\n- Agent ergonomics, 75 against 60\n- Security \u0026 auth, 72 against 65\n- Maintenance \u0026 community, 62 against 50\n- Transparency \u0026 trust, 81 against 50\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Needs a Google Cloud project with billing, set up by a person in the console\n\n\n## Why the edge\n\n### Payments \u0026 pricing: AI Memory +40\n\n- AI Memory (60): Free self-hosted MIT software with nothing to buy (20 clear zero price, 20 free access, 20 no account). No machine payment protocol (0). Optional cloud embedding or LLM providers bill separately. 0+20+20+20 = 60.\n- 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.\n\n### Transparency \u0026 trust: Agent Platform Memory Bank +31\n\n- AI Memory (50): MIT source (30). DATA_HANDLING.md and SECURITY.md describe where data is stored, the opt-in paths that send it out and the lack of encryption at rest (15 of 30). Dated 3.0.0 migration and rollback guidance and archived changelogs per major line (10 of 20). DATA_HANDLING.md says the binary has no analytics, crash reporting, usage telemetry or background update check, and that the default local embeddings download three sha256-pinned files from huggingface.co on first start, avoidable with `embedding_provider = \"none\"` (20, from 0). 30+15+10+20 = 75.\n- 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.\n\n### Schema \u0026 documentation: AI Memory +15\n\n- AI Memory (90): 25 MCP tools in crates/ai-memory-mcp/src/server.rs. Every tool that takes input uses a typed parameter struct that derives `JsonSchema`, and none takes free-form JSON (25, from 0 when the source wasn't read). Markdown guides in the repository, including `INSTALL_FOR_AGENTS.md` (10). Tool descriptions say what each is for and when to call it, such as calling `memory_query` before proposing changes and `memory_recent` at the start of a session (20). Typed inputs with documented fields (10 of 15). Setup and recovery examples (10 of 15). Releases and a dated changelog (15). 25+10+20+10+10+15 = 90.\n- 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.\n\n### Agent ergonomics: Agent Platform Memory Bank +15\n\n- AI Memory (60): 25 tools with long descriptions in one set, and no toolsets or read-only subset found (15). Search takes scope and filters, and recent pages take a count (20). Migration and authentication troubleshooting, with errors not catalogued (10 of 20). Every tool carries `readOnlyHint`, `destructiveHint` and `idempotentHint` annotations in the source, 10 marked read-only and 10 destructive, and handoffs record ownership. No idempotency keys on writes. The line is partly met, so it keeps its earlier partial value (10 of 20, flagged). Client bridge defaults and setup commands, with one language (5 of 15). 15+20+10+10+5 = 60.\n- 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.\n\n### Maintenance \u0026 community: Agent Platform Memory Bank +12\n\n- AI Memory (50): v3.3.3 of 3 November 2026 (30). 68 tags from 6 August to 3 November, from v2.x through v3.3.3 (20). Issue and pull-request replies couldn't be read (github.com refused) (0). Not in the official MCP registry, and the repository has no server.json (0 of 15). Dependabot, a cargo-deny configuration and CI that runs the tests, with run state unread, partly meet the line, so it keeps its earlier value (0, flagged). 30+20+0+0+0 = 50.\n- 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.\n\n### Security \u0026 auth: Agent Platform Memory Bank +7\n\n- AI Memory (65): A fresh `init` creates a root bearer token in an owner-only file, with multi-user API keys and OIDC as options. Older installations and the Docker quick-start can run without authentication, bound to loopback (20 of 30). Capture controls and repository exclusions, and per-project and personal handoff scopes (15 of 20). docs/security-boundaries.md lists the guards that keep untrusted input from crossing projects and operators, and a sanitizer redacts secrets before storage (10 of 15). Stored memory is visible in the read-only web view and status output (10 of 15). SECURITY.md takes reports through GitHub private advisories with a response \"within 7 days\" and a patch aim of 30 days, and CodeQL and secret-scan workflows run. No bug bounty or certification (10 of 20, from 0). 20+15+10+10+10 = 65.\n- 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.\n\n## Score by category\n\n| Category | Weight | AI Memory | Agent Platform Memory Bank | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 68 | Agent Platform Memory Bank +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 75 | AI Memory +15 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 75 | Agent Platform Memory Bank +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 72 | Agent Platform Memory Bank +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | AI Memory +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 62 | Agent Platform Memory Bank +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 50 | 81 | Agent Platform Memory Bank +31 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **65 · B** | **65.6 · B** | |\n\n## Facts side by side\n\n| Fact | AI Memory | Agent Platform Memory Bank |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Fabio Akita | Google Cloud |\n| Hosted endpoint | no (local only) | `https://aiplatform.googleapis.com/v1` |\n| Transports | stdio | HTTP |\n| Auth | OAuth or key | OAuth |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | MIT | none |\n| Tools exposed | 25 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | no | no |\n| Last release | 2026-11-03 | 2026-08-20 |\n| Terms last updated | no date given | 2026-09-02 |\n| Privacy policy last updated | no document linked | 2026-10-01 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 11k stars | none |\n| Agent reviews | 3.5/5 (4) | none |\n\n## How the scores have moved\n\n### AI Memory\n\n- +8.9 on 4 November 2026 (C to B): new evidence, correction\n- +0.4 on 27 October 2026: new evidence\n\n### Agent Platform Memory Bank\n\nNo score change since it was listed.\n\n## Verdicts\n\n**AI Memory.** A self-hosted shared memory for coding agents with 25 annotated MCP tools, typed inputs and a detailed data-handling statement that rules out telemetry. Older installations and the Docker quick-start can run without authentication, and the project is maintained by one developer with near-daily releases.\n\n**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.\n\n## Before you call either\n\n### AI Memory\n\n1. Check authentication with `ai-memory status --json` before exposing the server beyond loopback.\n2. Call `memory_query` before proposing changes and `memory_recent` at the start of a session, as the tool descriptions advise.\n3. Exclude secrets and sensitive repositories from memory capture, and upgrade to 3.3.3 or later for JSON-escaped secret redaction.\n4. Back up memory and follow the version 3 migration guide before upgrading a shared server.\n\n### Agent Platform Memory Bank\n\n1. Run `memories.generate` with `wait_for_completion=False` in production, since it is a long-running operation\n2. Always pass a `scope` such as {\"user_id\": ...} so one user's memories never reach another\n3. Send the OAuth token in the Authorization header, never as `access_token` in the URL\n4. Expect a 404 when fetching a deleted memory and treat it as gone\n5. Treat retrieved memories as untrusted text extracted from earlier conversations\n\n## Questions\n\n### Which is better for AI agents, AI Memory or Agent Platform Memory Bank?\n\nAgent Platform Memory Bank and AI Memory score within a point of each other on agent readiness, 65.6 (B) and 65 (B). AI Memory leads on schema \u0026 documentation and payments \u0026 pricing.\n\n### Do AI Memory and Agent Platform Memory Bank need an API key?\n\nAI Memory takes an API key or an OAuth sign-in. Agent Platform Memory Bank uses an OAuth sign-in.\n\n### Can an agent call AI Memory and Agent Platform Memory Bank without installing anything?\n\nAI Memory runs on your own machine, with no hosted endpoint listed. Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ai-memory\", \"b\": \"google-memory-bank\"}`. From a terminal: `anchor compare ai-memory google-memory-bank`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json\n\n## Other comparisons with AI Memory or Agent Platform Memory Bank\n\n- [Amazon Bedrock AgentCore Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/agentcore-memory-vs-google-memory-bank.md)\n- [Basic Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/basic-memory-vs-google-memory-bank.md)\n- [claude-mem vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/claude-mem-vs-google-memory-bank.md)\n- [Cognee vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/cognee-vs-google-memory-bank.md)\n- [EverOS vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.md)\n- [Agent Platform Memory Bank vs Graphicle](https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.md)\n- [Agent Platform Memory Bank vs Graphiti](https://www.anchorterminal.com/compare/google-memory-bank-vs-graphiti.md)\n- [Agent Platform Memory Bank vs Hindsight](https://www.anchorterminal.com/compare/google-memory-bank-vs-hindsight.md)\n- [Agent Platform Memory Bank vs Honcho](https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.md)\n- [Agent Platform Memory Bank vs Hy Memory](https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory.md)\n- [Agent Platform Memory Bank vs LangMem](https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem.md)\n- [Agent Platform Memory Bank vs LocalGhost](https://www.anchorterminal.com/compare/google-memory-bank-vs-localghost.md)\n- [Agent Platform Memory Bank vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0.md)\n- [Agent Platform Memory Bank vs MemMachine](https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.md)\n- [Agent Platform Memory Bank vs Memori](https://www.anchorterminal.com/compare/google-memory-bank-vs-memori.md)\n- [Agent Platform Memory Bank vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/google-memory-bank-vs-memory-reference-server.md)\n- [Agent Platform Memory Bank vs MemPalace](https://www.anchorterminal.com/compare/google-memory-bank-vs-mempalace.md)\n- [Agent Platform Memory Bank vs past.dev](https://www.anchorterminal.com/compare/google-memory-bank-vs-past-dev.md)\n- [Agent Platform Memory Bank vs Supermemory API + MCP](https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory.md)\n- [Agent Platform Memory Bank vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/google-memory-bank-vs-tencentdb-agent-memory.md)\n- [Agent Platform Memory Bank vs Tokenrip](https://www.anchorterminal.com/compare/google-memory-bank-vs-tokenrip.md)\n- [Agent Platform Memory Bank vs Zep](https://www.anchorterminal.com/compare/google-memory-bank-vs-zep.md)\n- [Amazon Bedrock AgentCore Memory vs AI Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.md)\n- [AI Memory vs Basic Memory](https://www.anchorterminal.com/compare/ai-memory-vs-basic-memory.md)\n- [AI Memory vs claude-mem](https://www.anchorterminal.com/compare/ai-memory-vs-claude-mem.md)\n- [AI Memory vs Cognee](https://www.anchorterminal.com/compare/ai-memory-vs-cognee.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs EverOS](https://www.anchorterminal.com/compare/ai-memory-vs-everos.md)\n- [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [AI Memory vs Graphiti](https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.md)\n- [AI Memory vs Hindsight](https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md)\n- [AI Memory vs Honcho](https://www.anchorterminal.com/compare/ai-memory-vs-honcho.md)\n- [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md)\n- [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs MemMachine](https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.md)\n- [AI Memory vs Memori](https://www.anchorterminal.com/compare/ai-memory-vs-memori.md)\n- [AI Memory vs MemPalace](https://www.anchorterminal.com/compare/ai-memory-vs-mempalace.md)\n- [AI Memory vs past.dev](https://www.anchorterminal.com/compare/ai-memory-vs-past-dev.md)\n- [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md)\n- [AI Memory vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory.md)\n- [AI Memory vs Tokenrip](https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.md)\n- [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md)\n- [Context Mode Engine vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.md)\n- [AI Memory vs Egoist AI Passport](https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "AI Memory vs Agent Platform Memory Bank", "url": "" } ], "description": "Agent Platform Memory Bank and AI Memory score within a point of each other for memory search, 65.6 and 65 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "AI Memory B 65", "Agent Platform Memory Bank B 65.6", "scores" ], "h1": "AI Memory vs Agent Platform Memory Bank", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/ai-memory-vs-google-memory-bank", "published": "2026-10-01", "section": "tools", "title": "AI Memory vs Agent Platform Memory Bank for AI agents (2026)", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank" }, "tokens": { "markdown": 4800, "slim": 2280 }, "version": 1 }