{ "data": { "a": { "slug": "context-mode", "name": "Context Mode Engine", "vendor": "MKSF LTD", "vendorUrl": "https://context-mode.com", "kind": "mcp", "category": "agent-memory", "summary": "Context Mode Engine indexes tool output and session events locally for coding agents. Its MCP tools and client hooks let agents retrieve relevant material while keeping large outputs outside the active context.", "url": "https://www.anchorterminal.com/tools/context-mode", "markdownUrl": "https://www.anchorterminal.com/tools/context-mode.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/context-mode.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/context-mode.json", "dns": "context-mode.grade.anchorterminal.com", "repo": "https://github.com/mksglu/context-mode", "license": "Elastic License 2.0, source available with restrictions on hosted or managed services.", "transports": [ "stdio" ], "packages": [ { "registry": "npm", "name": "context-mode" } ], "auth": "none", "authNotes": "Local stdio MCP server installed from npm, with Node.js 24.15.0 or later. Automatic routing depends on the client hooks; MCP-only installation does not enable all hooks.", "pricing": "freemium", "pricingNotes": "Engine runs locally for free. The separate hosted Gateway has a free plan of 1,000 requests every month with no card, then Pro from $20 a month for 10,000 requests, and Team at $50 a seat. Extra requests cost $2.00 to $1.00 per 1,000. Model-provider charges are separate.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No machine payment protocol established in the reviewed project documentation.", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 30841, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://github.com/mksglu/context-mode#readme", "capabilities": [ "memory.search", "context.manage" ], "tags": [ "agent-memory", "mcp", "freemium" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 54.6, "grade": "C", "agentReady": false, "rank": 898, "ranked": true, "rankOf": 1486, "categoryRank": 17, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 55, "payments": 40, "reliability": 60, "schema": 67, "security": 35, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-05" }, "negative": -2, "negativeNotes": [ "Current behaviour, checked 2026-11-05 in the source and docs. The Engine security page says all ten agents keep their own permission prompts and that the agent asks before each `ctx_execute` call. On Codex, the plugin's MCP config and `context-mode setup` set `default_tools_approval_mode` to `approve` for the server, and the server marks `ctx_execute` `readOnlyHint`, which the project's own source says lets the calls run where Codex would otherwise ask or refuse. A misleading claim on a security default, the minimum, -2. https://contextmode.ai/docs/engine/security.md; https://github.com/mksglu/context-mode/blob/main/src/core/contracts/constants.ts" ], "verdict": "Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.", "bestFor": "Coding-agent users who want large tool output kept out of the context window on their own machine.", "strengths": [ "Nine MCP tools with 4,330 characters of descriptions and capped replies", "Zero telemetry stated, with each network call listed and a source test that flags new ones", "Local data with stated retention and `ctx_purge` deletion by session, source or project", "Applies the user's Claude Code deny rules before its own", "Four stable releases on 4 and 5 November 2026" ], "weaknesses": [ "Elastic License 2.0, not an OSI licence, with hosted-service restrictions", "`ctx_execute` runs code as the user with no OS-level sandbox", "On Codex, setup pre-approves the server's tools and marks `ctx_execute` read-only, while the security page says the agent asks before each call. `ctx_purge` has no `destructiveHint`", "No security policy, security.txt or disclosure route", "No changelog file in the repository" ], "agentNotes": [ "Install Node 24.15.0 or later first. Version 2 no longer runs on Node 22", "Use the install command for the exact coding agent, then run `ctx_doctor`", "Keep the agent's permission prompts on. Code from `ctx_execute` runs as the user with full network access", "Call `ctx_purge` only when the user asks. It deletes for good", "Review the Elastic licence before hosting the Engine for others" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.6 } ], "editorialScores": { "ergonomics": 80, "maintenance": 55, "payments": 40, "reliability": 60, "schema": 67, "security": 35, "transparency": 60 }, "provenanceScore": 47, "checked": { "categories": { "ergonomics": "2026-11-05", "maintenance": "2026-11-05", "payments": "2026-11-05", "reliability": "2026-11-05", "schema": "2026-11-05", "security": "2026-11-05", "transparency": "2026-11-05" }, "last": "2026-11-05", "lastMoved": "2026-11-05", "oldest": "2026-11-05", "stale": false, "staleAfterDays": 90 } }, "connect": { "config": { "mcpServers": { "context-mode": { "args": [ "-y", "context-mode" ], "command": "npx" } } } }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/context-mode" }, "area": "agent-runtime", "provenance": { "legalEntity": "MKSF LTD", "domain": "context-mode.com", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://raw.githubusercontent.com/mksglu/context-mode/main/LICENSE", "privacy": "https://context-mode.com/privacy", "statusPage": "", "changelog": "https://github.com/mksglu/context-mode/releases", "securityTxt": "none", "checked": "2026-11-05", "notes": [ "Assessment covers the named repository. No domain registration was verified.", "context-mode.com redirects to contextmode.ai, whose privacy page names MKSF LTD, London. No terms of service page is linked, so the licence stands in.", "contextmode.ai/.well-known/security.txt and context-mode.com/.well-known/security.txt answered 404 on 2026-11-05.", "status.contextmode.ai tracks the hosted Gateway, the console and the website, not the local Engine, so it isn't recorded as this listing's status page." ], "score": 47 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/context-mode.json", "live": { "slug": "context-mode", "versions": [ { "registry": "github", "name": "mksglu/context-mode", "version": "v2.1.5", "released": "2026-11-06", "seenAt": "2026-11-06T23:17:27.067023396Z" }, { "registry": "npm", "name": "context-mode", "version": "2.1.5", "seenAt": "2026-11-06T23:17:25.37565835Z" } ], "githubStars": 33610, "npmWeekly": 59093, "securityTxt": { "url": "https://context-mode.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:47.297503037Z" }, "domain": { "domain": "context-mode.com", "registered": "2026-04-05", "source": "https://rdap.verisign.com/com/v1/domain/context-mode.com", "checkedAt": "2026-11-01T14:08:00.231323392Z" }, "pages": [ { "url": "https://context-mode.com/privacy", "kind": "privacy", "status": 404, "checkedAt": "2026-11-07T14:02:00.168804103Z", "changedAt": "2026-11-06T13:24:39.635899492Z", "fingerprint": "cea3aa6930f6" }, { "url": "https://raw.githubusercontent.com/mksglu/context-mode/main/LICENSE", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:21:51.957180832Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6f67d28523d4" } ], "github": { "repo": "mksglu/context-mode", "checkedAt": "2026-11-02T08:26:09.492583171Z", "stars": 33206, "archived": false, "issuesEnabled": false, "pushedAt": "2026-11-02T00:51:33Z", "openIssues": 0, "openPRs": 0, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-06-29T18:20:12Z" } }, "updatedAt": "2026-11-07T16:00:47.297503037Z" } }, "answer": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Context Mode Engine leads on agent ergonomics 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": 37, "category": "security", "leads": "google-memory-bank", "name": "Security \u0026 auth", "reasons": { "a": "Read with the framework lines for a local MCP server. No credential of its own; code runs as the user under the agent's own permission checks (10). On Claude Code the PreToolUse hook applies the user's deny rules first, and `CONTEXT_MODE_REQUIRE_SECURITY=1` denies every call while a settings file is broken (15). `ctx_index` blocks private and link-local addresses when it fetches a URL, but no guidance on instructions inside fetched pages or tool output (0). Each project keeps a local session log of prompts, edits, commands and errors (10). No SECURITY.md, security.txt or disclosure route found, and no advisory names the package (0). 10+15+0+10+0 = 35.", "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": 35, "b": 72 } }, { "by": 27, "category": "transparency", "leads": "google-memory-bank", "name": "Transparency \u0026 trust", "reasons": { "a": "Elastic License 2.0, source available but not an OSI licence, with limits on offering it as a hosted service (15). The Engine privacy page says data stays in `~/.context-mode`, gives retention (indexed items go after 30 days unread, 500 MB per project, idle projects after 14 days) and deletion by `ctx_purge`. The site privacy page is a summary for the Gateway that points to e-mail for the full policy (25 of 30). No deprecation policy or dated notices (0). The README and docs state zero telemetry and list each network call, with a source test that flags new call sites. We found no telemetry in the source (20). 15+25+0+20 = 60.", "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": 54, "b": 81 } }, { "by": 20, "category": "payments", "leads": "context-mode", "name": "Payments \u0026 pricing", "reasons": { "a": "No machine payment protocol found (0). Scored on the hosted Gateway, the paid option. Extra requests cost $2.00 down to $1.00 per 1,000 by volume, published on the pricing page (20). A free plan of 1,000 requests every month, no card (20). A person signs in to the console with GitHub or Google (0). 0+20+20+0 = 40.", "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": 40, "b": 20 } }, { "by": 8, "category": "reliability", "leads": "google-memory-bank", "name": "Reliability", "reasons": { "a": "Read with the local-package lines. Installs from npm as `context-mode`, with Node 24.15.0 or later stated in package.json and the README (20). A public CI workflow runs the test gate on macOS, Linux and Windows under Node 24.15.0 and 26 on every push, and the release workflow runs it before each publish. GitHub's pages answer 403 in this session, so run results couldn't be read (15 of 25). Open crash and regression issues weren't read (0). Versioned releases, with 2.0.0 a major for the rewrite and 2.0.0-next prereleases from 27 October, but no changelog file in the repository and the GitHub release notes unread (10 of 15). Version 2.1.0, past 1.0 (15). 20+15+0+10+15 = 60.", "b": "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." }, "scores": { "a": 60, "b": 68 } }, { "by": 8, "category": "schema", "leads": "google-memory-bank", "name": "Schema \u0026 documentation", "reasons": { "a": "No published contract. The tool input schemas sit in the source, and the docs show them as a table (0 of 25). llms.txt and Markdown copies of every page on contextmode.ai (10). Each tool description says what it does and when to use it, for example `ctx_purge` \"Use it only when the user asks to forget or reset data\" (20). The tools reference lists each tool's inputs with optional fields and allowed values (`scope` session, worktree or project; `sort` relevance or timeline; `mode` upgrade or uninstall), and every tool rejects an unknown field with `UNKNOWN_FIELD` (12 of 15). Setup, doctor and troubleshooting pages with examples and fix lines (15). Tagged releases, without a readable changelog (10 of 15). 0+10+20+12+15+10 = 67.", "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": 67, "b": 75 } }, { "by": 7, "category": "maintenance", "leads": "google-memory-bank", "name": "Maintenance \u0026 community", "reasons": { "a": "v2.1.0 tagged on 5 November 2026 by the release workflow, after v2.0.0, v2.0.1 and v2.0.2 on 4 November, and the README now names 2.0 as the npm latest (30). Four stable releases in the 90 days from 7 August. 2.0.1 only fixes release manifests, and 2.0.0, 2.0.2 and 2.1.0 change code (20). Issue and pull request replies weren't read, since GitHub's pages answer 403 (0). No official MCP registry entry read (0). CI on three systems and two Node lines, results unread (5 of 10). 30+20+0+0+5 = 55.", "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": 55, "b": 62 } } ], "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "MKSF LTD", "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": "None", "b": "OAuth", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Elastic License 2.0, source available with restrictions on hosted or managed services.", "b": "none", "name": "Licence" }, { "a": "9", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-11-05", "b": "2026-08-20", "name": "Last release" }, { "a": "no date given", "b": "2026-09-02", "name": "Terms last updated" }, { "a": "no date given", "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": "31k stars", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Context Mode Engine leads on agent ergonomics and payments \u0026 pricing.", "question": "Which is better for AI agents, Context Mode Engine or Agent Platform Memory Bank?" }, { "answer": "Context Mode Engine needs no key. Agent Platform Memory Bank uses an OAuth sign-in.", "question": "Do Context Mode Engine and Agent Platform Memory Bank need an API key?" }, { "answer": "Context Mode Engine 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 Context Mode Engine and Agent Platform Memory Bank without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 80 against 75", "Payments \u0026 pricing, 40 against 20" ], "also": [ "No key needed to call it", "Runs on your own machine" ], "goodFor": "Coding-agent users who want large tool output kept out of the context window on their own machine.", "slug": "context-mode", "watchFor": "Elastic License 2.0, not an OSI licence, with hosted-service restrictions" }, { "aheadOn": [ "Reliability, 68 against 60", "Schema \u0026 documentation, 75 against 67", "Security \u0026 auth, 72 against 35", "Maintenance \u0026 community, 62 against 55", "Transparency \u0026 trust, 81 against 54" ], "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": { "context-mode": [ { "causes": [ "product", "evidence" ], "date": "2026-11-05", "delta": 8.4, "from": 46.2, "fromGrade": "D", "to": 54.6, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 45.8, "fromGrade": "E", "to": 46.2, "toGrade": "D" } ], "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-context-mode.json", "title": "Amazon Bedrock AgentCore Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode" }, { "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-google-memory-bank.json", "title": "AI Memory vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-context-mode.json", "title": "Basic Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-context-mode.json", "title": "claude-mem vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-context-mode.json", "title": "Cognee vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/cognee-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-everos.json", "title": "Context Mode Engine vs EverOS", "url": "https://www.anchorterminal.com/compare/context-mode-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle.json", "title": "Context Mode Engine vs Graphicle", "url": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-graphiti.json", "title": "Context Mode Engine vs Graphiti", "url": "https://www.anchorterminal.com/compare/context-mode-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight.json", "title": "Context Mode Engine vs Hindsight", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-honcho.json", "title": "Context Mode Engine vs Honcho", "url": "https://www.anchorterminal.com/compare/context-mode-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.json", "title": "Context Mode Engine vs Hy Memory", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-khoj.json", "title": "Context Mode Engine vs Khoj", "url": "https://www.anchorterminal.com/compare/context-mode-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-langmem.json", "title": "Context Mode Engine vs LangMem", "url": "https://www.anchorterminal.com/compare/context-mode-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-mem0.json", "title": "Context Mode Engine vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine.json", "title": "Context Mode Engine vs MemMachine", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-memori.json", "title": "Context Mode Engine vs Memori", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-mempalace.json", "title": "Context Mode Engine vs MemPalace", "url": "https://www.anchorterminal.com/compare/context-mode-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-past-dev.json", "title": "Context Mode Engine vs past.dev", "url": "https://www.anchorterminal.com/compare/context-mode-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory.json", "title": "Context Mode Engine vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory.json", "title": "Context Mode Engine vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.json", "title": "Context Mode Engine vs Tokenrip", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-zep.json", "title": "Context Mode Engine vs Zep", "url": "https://www.anchorterminal.com/compare/context-mode-vs-zep" } ], "panel": null, "scores": [ { "by": 8, "context-mode": 60, "edge": "google-memory-bank", "google-memory-bank": 68, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "context-mode": 67, "edge": "google-memory-bank", "google-memory-bank": 75, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 5, "context-mode": 80, "edge": "context-mode", "google-memory-bank": 75, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 37, "context-mode": 35, "edge": "google-memory-bank", "google-memory-bank": 72, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "context-mode": 40, "edge": "context-mode", "google-memory-bank": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 7, "context-mode": 55, "edge": "google-memory-bank", "google-memory-bank": 62, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 27, "context-mode": 54, "edge": "google-memory-bank", "google-memory-bank": 81, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Context Mode Engine leads on agent ergonomics and payments \u0026 pricing. Both do memory search.", "tasks": null, "tutorials": [], "verdicts": { "context-mode": "Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.", "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/context-mode-vs-google-memory-bank", "json": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.min.md" }, "markdown": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Context Mode Engine leads on agent ergonomics and payments \u0026 pricing. Both do memory search.\n\n- Context Mode Engine: grade C, 54.6/100, rank #898 of 1486. Markdown https://www.anchorterminal.com/tools/context-mode.md · JSON https://www.anchorterminal.com/api/v1/tools/context-mode.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### Context Mode Engine (C)\n\nGood for: Coding-agent users who want large tool output kept out of the context window on their own machine.\n\nAhead on:\n- Agent ergonomics, 80 against 75\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n\nWatch for: Elastic License 2.0, not an OSI licence, with hosted-service restrictions\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- Reliability, 68 against 60\n- Schema \u0026 documentation, 75 against 67\n- Security \u0026 auth, 72 against 35\n- Maintenance \u0026 community, 62 against 55\n- Transparency \u0026 trust, 81 against 54\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### Security \u0026 auth: Agent Platform Memory Bank +37\n\n- Context Mode Engine (35): Read with the framework lines for a local MCP server. No credential of its own; code runs as the user under the agent's own permission checks (10). On Claude Code the PreToolUse hook applies the user's deny rules first, and `CONTEXT_MODE_REQUIRE_SECURITY=1` denies every call while a settings file is broken (15). `ctx_index` blocks private and link-local addresses when it fetches a URL, but no guidance on instructions inside fetched pages or tool output (0). Each project keeps a local session log of prompts, edits, commands and errors (10). No SECURITY.md, security.txt or disclosure route found, and no advisory names the package (0). 10+15+0+10+0 = 35.\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### Transparency \u0026 trust: Agent Platform Memory Bank +27\n\n- Context Mode Engine (54): Elastic License 2.0, source available but not an OSI licence, with limits on offering it as a hosted service (15). The Engine privacy page says data stays in `~/.context-mode`, gives retention (indexed items go after 30 days unread, 500 MB per project, idle projects after 14 days) and deletion by `ctx_purge`. The site privacy page is a summary for the Gateway that points to e-mail for the full policy (25 of 30). No deprecation policy or dated notices (0). The README and docs state zero telemetry and list each network call, with a source test that flags new call sites. We found no telemetry in the source (20). 15+25+0+20 = 60.\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### Payments \u0026 pricing: Context Mode Engine +20\n\n- Context Mode Engine (40): No machine payment protocol found (0). Scored on the hosted Gateway, the paid option. Extra requests cost $2.00 down to $1.00 per 1,000 by volume, published on the pricing page (20). A free plan of 1,000 requests every month, no card (20). A person signs in to the console with GitHub or Google (0). 0+20+20+0 = 40.\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### Reliability: Agent Platform Memory Bank +8\n\n- Context Mode Engine (60): Read with the local-package lines. Installs from npm as `context-mode`, with Node 24.15.0 or later stated in package.json and the README (20). A public CI workflow runs the test gate on macOS, Linux and Windows under Node 24.15.0 and 26 on every push, and the release workflow runs it before each publish. GitHub's pages answer 403 in this session, so run results couldn't be read (15 of 25). Open crash and regression issues weren't read (0). Versioned releases, with 2.0.0 a major for the rewrite and 2.0.0-next prereleases from 27 October, but no changelog file in the repository and the GitHub release notes unread (10 of 15). Version 2.1.0, past 1.0 (15). 20+15+0+10+15 = 60.\n- 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.\n\n### Schema \u0026 documentation: Agent Platform Memory Bank +8\n\n- Context Mode Engine (67): No published contract. The tool input schemas sit in the source, and the docs show them as a table (0 of 25). llms.txt and Markdown copies of every page on contextmode.ai (10). Each tool description says what it does and when to use it, for example `ctx_purge` \"Use it only when the user asks to forget or reset data\" (20). The tools reference lists each tool's inputs with optional fields and allowed values (`scope` session, worktree or project; `sort` relevance or timeline; `mode` upgrade or uninstall), and every tool rejects an unknown field with `UNKNOWN_FIELD` (12 of 15). Setup, doctor and troubleshooting pages with examples and fix lines (15). Tagged releases, without a readable changelog (10 of 15). 0+10+20+12+15+10 = 67.\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### Maintenance \u0026 community: Agent Platform Memory Bank +7\n\n- Context Mode Engine (55): v2.1.0 tagged on 5 November 2026 by the release workflow, after v2.0.0, v2.0.1 and v2.0.2 on 4 November, and the README now names 2.0 as the npm latest (30). Four stable releases in the 90 days from 7 August. 2.0.1 only fixes release manifests, and 2.0.0, 2.0.2 and 2.1.0 change code (20). Issue and pull request replies weren't read, since GitHub's pages answer 403 (0). No official MCP registry entry read (0). CI on three systems and two Node lines, results unread (5 of 10). 30+20+0+0+5 = 55.\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## Score by category\n\n| Category | Weight | Context Mode Engine | Agent Platform Memory Bank | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 68 | Agent Platform Memory Bank +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 67 | 75 | Agent Platform Memory Bank +8 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 75 | Context Mode Engine +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 72 | Agent Platform Memory Bank +37 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Context Mode Engine +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 55 | 62 | Agent Platform Memory Bank +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 81 | Agent Platform Memory Bank +27 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **54.6 · C** | **65.6 · B** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | Agent Platform Memory Bank |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | MKSF LTD | Google Cloud |\n| Hosted endpoint | no (local only) | `https://aiplatform.googleapis.com/v1` |\n| Transports | stdio | HTTP |\n| Auth | None | OAuth |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Elastic License 2.0, source available with restrictions on hosted or managed services. | none |\n| Tools exposed | 9 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-11-05 | 2026-08-20 |\n| Terms last updated | no date given | 2026-09-02 |\n| Privacy policy last updated | no date given | 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 | 31k stars | none |\n| Agent reviews | 3.5/5 (4) | none |\n\n## How the scores have moved\n\n### Context Mode Engine\n\n- +8.4 on 5 November 2026 (D to C): product, new evidence\n- +0.4 on 27 October 2026 (E to D): checklist\n\n### Agent Platform Memory Bank\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Context Mode Engine.** Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.\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### Context Mode Engine\n\n1. Install Node 24.15.0 or later first. Version 2 no longer runs on Node 22\n2. Use the install command for the exact coding agent, then run `ctx_doctor`\n3. Keep the agent's permission prompts on. Code from `ctx_execute` runs as the user with full network access\n4. Call `ctx_purge` only when the user asks. It deletes for good\n5. Review the Elastic licence before hosting the Engine for others\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, Context Mode Engine or Agent Platform Memory Bank?\n\nAgent Platform Memory Bank scores 65.6 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Context Mode Engine leads on agent ergonomics and payments \u0026 pricing.\n\n### Do Context Mode Engine and Agent Platform Memory Bank need an API key?\n\nContext Mode Engine needs no key. Agent Platform Memory Bank uses an OAuth sign-in.\n\n### Can an agent call Context Mode Engine and Agent Platform Memory Bank without installing anything?\n\nContext Mode Engine 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/context-mode-vs-google-memory-bank.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"google-memory-bank\"}`. From a terminal: `anchor compare context-mode google-memory-bank`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json\n\n## Other comparisons with Context Mode Engine 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 Context Mode Engine](https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.md)\n- [Basic Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/basic-memory-vs-context-mode.md)\n- [claude-mem vs Context Mode Engine](https://www.anchorterminal.com/compare/claude-mem-vs-context-mode.md)\n- [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md)\n- [Context Mode Engine vs EverOS](https://www.anchorterminal.com/compare/context-mode-vs-everos.md)\n- [Context Mode Engine vs Graphicle](https://www.anchorterminal.com/compare/context-mode-vs-graphicle.md)\n- [Context Mode Engine vs Graphiti](https://www.anchorterminal.com/compare/context-mode-vs-graphiti.md)\n- [Context Mode Engine vs Hindsight](https://www.anchorterminal.com/compare/context-mode-vs-hindsight.md)\n- [Context Mode Engine vs Honcho](https://www.anchorterminal.com/compare/context-mode-vs-honcho.md)\n- [Context Mode Engine vs Hy Memory](https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.md)\n- [Context Mode Engine vs Khoj](https://www.anchorterminal.com/compare/context-mode-vs-khoj.md)\n- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Context Mode Engine vs MemMachine](https://www.anchorterminal.com/compare/context-mode-vs-memmachine.md)\n- [Context Mode Engine vs Memori](https://www.anchorterminal.com/compare/context-mode-vs-memori.md)\n- [Context Mode Engine vs MemPalace](https://www.anchorterminal.com/compare/context-mode-vs-mempalace.md)\n- [Context Mode Engine vs past.dev](https://www.anchorterminal.com/compare/context-mode-vs-past-dev.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Context Mode Engine vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory.md)\n- [Context Mode Engine vs Tokenrip](https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.md)\n- [Context Mode Engine vs Zep](https://www.anchorterminal.com/compare/context-mode-vs-zep.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": "Context Mode Engine vs Agent Platform Memory Bank", "url": "" } ], "description": "Agent Platform Memory Bank scores 65.6 (B) to Context Mode Engine's 54.6 (C) for memory search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Context Mode Engine C 54.6", "Agent Platform Memory Bank B 65.6", "scores" ], "h1": "Context Mode Engine vs Agent Platform Memory Bank", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/context-mode-vs-google-memory-bank", "published": "2026-10-01", "section": "tools", "title": "Context Mode Engine vs Agent Platform Memory Bank for AI agents (2026)", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank" }, "tokens": { "markdown": 5100, "slim": 2480 }, "version": 1 }