{
  "data": {
    "a": {
      "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": 414,
        "ranked": true,
        "rankOf": 1510,
        "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": "2026-11-07T19:22:09.316153638Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 699,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 665,
          "p95ms24h": 752,
          "samples24h": 210,
          "samples30d": 210,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 13
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "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": "2026-11-07T19:22:09.316153638Z"
      }
    },
    "answer": "Graphicle scores 70.6 (BB) on agent readiness against Agent Platform Memory Bank's 65.6 (B), and leads in 4 of 7 scored categories. Agent Platform Memory Bank leads on reliability, security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "graphicle",
      "name": "Graphicle",
      "vendor": "KarLex AI, Inc.",
      "vendorUrl": "https://www.karlex.ai/graphicle",
      "kind": "mcp",
      "category": "agent-memory",
      "summary": "Graphicle is an open-source Rust program that builds a code graph of a repository and keeps its documents, reviewed decisions and past coding-agent sessions, served to Claude Code, Codex, Cursor and other MCP clients as cited excerpts.",
      "url": "https://www.anchorterminal.com/tools/graphicle",
      "markdownUrl": "https://www.anchorterminal.com/tools/graphicle.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphicle.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphicle.json",
      "dns": "graphicle.grade.anchorterminal.com",
      "repo": "https://github.com/Graphicle-AI/graphicle",
      "license": "Apache-2.0",
      "transports": [
        "stdio",
        "streamable-http"
      ],
      "packages": [],
      "auth": "mixed",
      "authNotes": "No account. The stdio server (`graphicle mcp`) runs with the owner key saved in the local data folder, which reads every project in the store. Over HTTP (`graphicle serve`, 127.0.0.1:8854 by default) each agent or person gets its own access key with a role, optional expiry and optional project list, sent as `Authorization: Bearer` or `X-Workspace-Capability`, never in the URL. Keys are stored as hashes and can be revoked.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0 for individuals and teams, with nothing to buy. A commercial edition for teams is in private preview with no published prices. Optional model calls (answers, memory extraction, full document extraction) are paid to the provider the owner configures, or run locally through Ollama.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the source, README, docs or karlex.ai (checked 2026-10-15). The software has no paid tier.",
        "endpoints": []
      },
      "toolCount": 25,
      "popularity": {
        "githubStars": 144,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-15"
      },
      "docsUrl": "https://github.com/Graphicle-AI/graphicle/blob/main/docs/quickstart.md",
      "registryName": "io.github.Graphicle-AI/graphicle",
      "capabilities": [
        "memory.search",
        "memory.graph",
        "memory.store",
        "memory.delete"
      ],
      "tags": [
        "open-source",
        "local",
        "self-hosted",
        "free",
        "no-card",
        "apache-2.0",
        "rust",
        "mcp",
        "macos",
        "linux"
      ],
      "lastRelease": "2026-10-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 70.6,
        "grade": "BB",
        "agentReady": true,
        "rank": 193,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 4,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 83,
          "payments": 60,
          "reliability": 63,
          "schema": 83,
          "security": 67,
          "transparency": 71
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-25. 0.1.7's changelog, under `### Security`, describes two fixed flaws in released versions up to 0.1.6. `graphicle graph install` wrote through a symbolic link at a skill's `SKILL.md` or version stamp (\"before, that file was overwritten\"), and a symbolic link a repository commits at `.graphicle/.rebuild.lock`, the rebuild's temporary graph or `.gitattributes` let `graphicle graph update`, a hook rebuild or `graphicle graph hook install` \"truncate, overwrite or add a line to the file it names\". So a hostile repository could make the program write to a file outside it. Fixed in 0.1.7 and described in the changelog, which names no advisory, though SECURITY.md routes reports through GitHub advisories. GitHub's advisory page answered 403 on 1 November, so an advisory there is unchecked. Judgement call. -2, the changelog-only fix term claude-code and claude-agent-sdk take for their symlink and sandbox fixes and stackone took for a described flaw with no advisory, below terraform-mcp's -3 for a cross-tenant flaw, since this needs the user to sync a hostile repository and exposes no credential. https://github.com/Graphicle-AI/graphicle/blob/v0.1.7/CHANGELOG.md"
        ],
        "verdict": "One local program gives a coding agent a code graph and project memory through typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It reached 0.1.10 in sixteen days, its SDKs aren't on any registry, and 0.1.7 fixed symlink file overwrites disclosed only in its changelog.",
        "bestFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.",
        "strengths": [
          "25 MCP tools with closed JSON Schema inputs, enums and limits, readOnlyHint on every read tool, and a five-tool essentials set",
          "Recall returns excerpts with file, line range and hash, within a `max_tokens` budget, and `skip_shown` avoids resending excerpts",
          "Agent-proposed memories need verbatim quotes and a person's approval, and the MCP server has no tool that deletes or runs commands",
          "No telemetry or account. The source calls out only to models, connectors and GitHub that the owner configures",
          "Eleven releases from 14 to 30 October 2026, each in the official MCP registry under a verified namespace since 0.1.2"
        ],
        "weaknesses": [
          "Version 0.1.10, about two weeks old, with stored-data changes shipped in patch releases",
          "0.1.7 fixed symlink-following file overwrites from a hostile repository, disclosed only in the changelog",
          "The stdio server runs with the owner key, so its graph tools can read any project in the store unless an HTTP key is scoped",
          "SDKs are source-only, no llms.txt, and the Windows build is an unsigned preview",
          "The cargo-deny licence and advisory job failed on main on 15 October, and later runs couldn't be read"
        ],
        "agentNotes": [
          "Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt",
          "Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project",
          "Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory",
          "Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it",
          "Run `graphicle sync` once after each upgrade, as the changelog's After upgrading sections say, or answers read a stale graph"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.8,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 70.6
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 83,
          "payments": 60,
          "reliability": 63,
          "schema": 83,
          "security": 67,
          "transparency": 71
        },
        "provenanceScore": 70,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-11-01",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "brew install graphicle-ai/tap/graphicle \u0026\u0026 cd your-repo \u0026\u0026 graphicle setup",
        "claudeCode": "graphicle sync . \u0026\u0026 graphicle connect claude-code",
        "config": {
          "mcpServers": {
            "graphicle": {
              "args": [
                "mcp",
                "--project",
                "PROJECT_ID"
              ],
              "command": "/full/path/to/graphicle"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.search",
        "tool": "https://letme.dev/graphicle"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "KarLex AI, Inc.",
        "domain": "karlex.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "https://www.karlex.ai/legal/terms",
        "privacy": "https://www.karlex.ai/legal/privacy",
        "statusPage": "",
        "changelog": "https://github.com/Graphicle-AI/graphicle/blob/main/CHANGELOG.md",
        "securityTxt": "valid",
        "checked": "2026-11-01",
        "notes": [
          "The README and LICENSE read Copyright 2026 KarLex AI, Inc. karlex.ai names KarLex AI as the company behind Graphicle and links the graphicle-ai GitHub organisation, created on 29 September 2026.",
          "The terms of use and privacy policy at karlex.ai are dated 14 March 2025 and cover the website and its accounts, not the Graphicle software, which runs on the user's machine.",
          "karlex.ai/.well-known/security.txt names security@karlexai.com and expires on 7 April 2027 (read 15 October and 1 November 2026). karlexai.com redirects to karlex.ai; RDAP at Verisign gives karlexai.com a registration date of 20 December 2023. The .ai registration date was not read.",
          "karlex.ai's robots.txt allows all crawlers.",
          "The software runs on the owner's machine, so there is no vendor endpoint or status page to check."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/graphicle.json",
      "live": {
        "slug": "graphicle",
        "versions": [
          {
            "registry": "github",
            "name": "Graphicle-AI/graphicle",
            "version": "v0.1.13",
            "released": "2026-11-05",
            "seenAt": "2026-11-06T23:30:59.219907862Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.Graphicle-AI/graphicle",
            "version": "0.1.13",
            "seenAt": "2026-11-07T18:16:28.95801333Z"
          }
        ],
        "githubStars": 512,
        "securityTxt": {
          "url": "https://karlex.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-04-07T00:00:00.000Z",
          "checkedAt": "2026-11-07T15:59:37.856277688Z"
        },
        "domain": {
          "domain": "karlex.ai",
          "registered": "2024-12-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/karlex.ai",
          "checkedAt": "2026-11-01T14:21:47.881801594Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/Graphicle-AI/graphicle/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-11-07T14:18:25.28570247Z",
            "changedAt": "2026-11-06T13:39:53.714700493Z",
            "fingerprint": "7a259e868f65"
          },
          {
            "url": "https://www.karlex.ai/legal/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-07T14:30:24.94817621Z",
            "changedAt": "2026-11-03T08:07:25.33015972Z",
            "fingerprint": "5b2acb85b3e1"
          },
          {
            "url": "https://www.karlex.ai/legal/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T14:30:27.273112741Z",
            "changedAt": "2026-11-03T08:07:27.759298262Z",
            "fingerprint": "ed3a9743533c"
          }
        ],
        "github": {
          "repo": "graphicle-ai/graphicle",
          "checkedAt": "2026-11-02T08:52:52.558134257Z",
          "stars": 492,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-11-02T08:20:42Z",
          "openIssues": 4,
          "openPRs": 0,
          "issuesOpened90d": 7,
          "issuesClosed90d": 3,
          "prsMerged90d": 10,
          "ci": {
            "branch": "main",
            "runs": 32,
            "success": 19,
            "failure": 11,
            "other": 2,
            "latest": "failure",
            "latestAt": "2026-11-02T08:49:37Z"
          },
          "replies": {
            "sampled": 5,
            "unanswered": 0,
            "medianDays": 0.2
          }
        },
        "updatedAt": "2026-11-07T18:16:28.95801333Z"
      }
    },
    "edges": [
      {
        "by": 40,
        "category": "payments",
        "leads": "graphicle",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "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.",
          "b": "No payment protocol (0). Read with the self-hosted rule. Free under Apache-2.0 with nothing to buy (20). No card or account (20). An agent can install it and run `graphicle setup --yes` with no signup, as the README suggests (20). The commercial team edition is still in private preview with no prices on karlex.ai on 1 November, so there is no paid option to score. 0+20+20+20 = 60."
        },
        "scores": {
          "a": 20,
          "b": 60
        }
      },
      {
        "by": 21,
        "category": "maintenance",
        "leads": "graphicle",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "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.",
          "b": "v0.1.10 on 30 October 2026 (30). Eleven releases, v0.1.0 (14 October) to v0.1.10 (30 October), all inside the last 90 days (20). Outside pull requests #9 and #10 shipped in 0.1.6 and 0.1.7 and issue #8's kubernetes timings drove 0.1.5, per the changelog, with Discussions and a Discord linked, but reply times and open issues weren't readable on 1 November (12 of 25). In the official MCP registry as io.github.Graphicle-AI/graphicle, a GitHub-verified namespace, with 0.1.10 published on 30 October and marked latest (15). The SDKs are still not on PyPI or npm. Pinned GitHub Actions, dependency-graph updates and passing tests, but the licence and advisory job failed on main on 15 October and its later runs weren't readable (6 of 10). 30+20+12+15+6 = 83."
        },
        "scores": {
          "a": 62,
          "b": 83
        }
      },
      {
        "by": 10,
        "category": "ergonomics",
        "leads": "graphicle",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "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.",
          "b": "25 tools with memory proposals on, about 24,600 characters of definitions in the v0.1.10 fixture (15). `--tools essentials` serves five tools (`recall_project`, `read_project_source`, `query_graph`, `get_node`, `get_neighbors`, about 7,400 characters) and is what `graphicle setup` gives Claude Code; `--tools graph` or `--tools memory` serves one half, and leaving out `--allow-learning` leaves only read tools plus `graph_link` (10 added back, up from 7 on 15 October, for the essentials set). `recall_project` takes `max_tokens` or `max_chars`, `include` prefixes and `skip_shown`, `query_graph` takes `token_budget` and `depth`, and `list_projects` pages with `offset` and `limit` (20). Over-limit projects are refused with a message naming the limit and its setting, 409 marks a stale revision and 429 carries Retry-After, and since 0.1.7 the Python SDK keeps `retry_after` on its error. MCP error shapes are not documented (12 of 20). 21 tools carry readOnlyHint true and 4 false, all with idempotentHint true and destructiveHint false, there are no destructive tools, and `propose_memory` requires an `idempotency_key` that replays the same proposal (20). Only `question` is required on recall and graph queries. Python and TypeScript SDKs exist, at 0.1.10, but install only from source (8 of 15). 25+20+12+20+8 = 85."
        },
        "scores": {
          "a": 75,
          "b": 85
        }
      },
      {
        "by": 10,
        "category": "transparency",
        "leads": "google-memory-bank",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "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.",
          "b": "Apache-2.0 with NOTICE files that credit Graphify and every adapted project (30). The README privacy section and the FAQ list every case in which the program uses the network, say there is no telemetry or account, and keep data in one SQLite store with deletion receipts. A grep of the source for outbound hosts found only model providers, connectors and GitHub, which agrees. The karlex.ai privacy policy of 14 March 2025 covers the website, not the software (20 of 30). SECURITY.md lists supported versions. No deprecation policy (3 of 20). No telemetry to opt out of, and the network cases are disclosed, with `freshness off` and `--code-only` to limit them (18 of 20). 30+20+3+18 = 71."
        },
        "scores": {
          "a": 81,
          "b": 71
        }
      },
      {
        "by": 8,
        "category": "schema",
        "leads": "graphicle",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "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.",
          "b": "Every MCP tool has a JSON Schema input with `additionalProperties: false` and required fields marked, read from the tool list fixtures in the repository at v0.1.10 (25). No llms.txt. The docs are Markdown files in the repository that an agent can read raw (5 of 10). Server instructions say which tool to use for structure and which for what the project says, `recall_project` says when to leave the reranker off, and memory tools explain draft review, while graph tools such as `query_graph` carry one-line descriptions (14 of 20). Enums on `mode`, `pack_order`, memory `kind` and `state`, length and item limits, minimum values and closed nested objects (14 of 15). Examples throughout the docs. The OpenAPI file documents 400, 403, 409 and 429 for the HTTP API and limit errors name the setting to change, but MCP error results are not catalogued (10 of 15). A dated changelog, semver crate versions and `/v1` paths (15). 25+5+14+14+10+15 = 83."
        },
        "scores": {
          "a": 75,
          "b": 83
        }
      },
      {
        "by": 5,
        "category": "reliability",
        "leads": "google-memory-bank",
        "name": "Reliability",
        "reasons": {
          "a": "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.",
          "b": "Read as local software. Installs from an official Homebrew tap, an install script that checks each archive's SHA-256, or release archives, with macOS and Linux (glibc) on arm64 and x86_64 stated, and since 0.1.5 a Windows preview build that isn't code-signed. No language package registry (20). A public CI workflow formats, lints and tests each of the three crates on macOS and Linux. On 15 October every test job passed on both pushes to main and the cargo-deny job for licences, advisories and sources failed; 0.1.7 (25 October) replaced a yanked crate that cargo-deny warned about, but GitHub's Actions pages weren't readable on 1 November, so the runs are per the 15 October check (18). Outside reports and fixes have been handled in releases (issue #8 on kubernetes speed, pull requests #9 and #10 in 0.1.6 and 0.1.7), but the open issue list couldn't be read on 1 November, so the record is still too thin to judge (15). A dated changelog with eleven releases, each with an \"After upgrading\" section that names the steps a release needs (re-sync, memories that go stale), but large additions and stored-data changes ship in 0.1.x patch bumps (10). Version 0.1.10, not declared stable (0). 20+18+15+10+0 = 63."
        },
        "scores": {
          "a": 68,
          "b": 63
        }
      }
    ],
    "facts": [
      {
        "a": "HTTP API",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "Google Cloud",
        "b": "KarLex AI, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://aiplatform.googleapis.com/v1",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "stdio, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "25",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.Graphicle-AI/graphicle",
        "name": "MCP registry"
      },
      {
        "a": "2026-08-20",
        "b": "2026-10-30",
        "name": "Last release"
      },
      {
        "a": "2026-09-02",
        "b": "2025-03-14",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "2025-03-14",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "yes, with an opt-out",
        "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": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "144 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Graphicle scores 70.6 (BB) on agent readiness against Agent Platform Memory Bank's 65.6 (B), and leads in 4 of 7 scored categories. Agent Platform Memory Bank leads on reliability, security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Agent Platform Memory Bank or Graphicle?"
      },
      {
        "answer": "Agent Platform Memory Bank uses an OAuth sign-in. Graphicle takes an API key or an OAuth sign-in.",
        "question": "Do Agent Platform Memory Bank and Graphicle need an API key?"
      },
      {
        "answer": "Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1. Graphicle runs on your own machine, with no hosted endpoint listed.",
        "question": "Can an agent call Agent Platform Memory Bank and Graphicle without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Agent Platform Memory Bank. Graphicle is open source (Apache-2.0).",
        "question": "Are Agent Platform Memory Bank and Graphicle open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 68 against 63",
          "Security \u0026 auth, 72 against 67",
          "Transparency \u0026 trust, 81 against 71"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 83 against 75",
          "Agent ergonomics, 85 against 75",
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 83 against 62"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "Runs on your own machine",
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.",
        "slug": "graphicle",
        "watchFor": "Version 0.1.10, about two weeks old, with stored-data changes shipped in patch releases"
      }
    ],
    "history": {
      "google-memory-bank": null,
      "graphicle": [
        {
          "causes": [
            "product",
            "correction",
            "event"
          ],
          "date": "2026-11-01",
          "delta": 0.5,
          "from": 70.1,
          "fromGrade": "BB",
          "to": 70.6,
          "toGrade": "BB"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.3,
          "from": 69.8,
          "fromGrade": "B",
          "to": 70.1,
          "toGrade": "BB"
        }
      ]
    },
    "job": {
      "capability": "memory.store",
      "name": "Agent memory"
    },
    "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/agentcore-memory-vs-graphicle.json",
        "title": "Amazon Bedrock AgentCore Memory vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle"
      },
      {
        "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/basic-memory-vs-graphicle.json",
        "title": "Basic Memory vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/basic-memory-vs-graphicle"
      },
      {
        "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/claude-mem-vs-graphicle.json",
        "title": "claude-mem vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/claude-mem-vs-graphicle"
      },
      {
        "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/cognee-vs-graphicle.json",
        "title": "Cognee vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-graphicle"
      },
      {
        "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/everos-vs-graphicle.json",
        "title": "EverOS vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/everos-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/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/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/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/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/graphicle-vs-graphiti.json",
        "title": "Graphicle vs Graphiti",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight.json",
        "title": "Graphicle vs Hindsight",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-honcho.json",
        "title": "Graphicle vs Honcho",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.json",
        "title": "Graphicle vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-khoj.json",
        "title": "Graphicle vs Khoj",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-khoj"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-langmem.json",
        "title": "Graphicle vs LangMem",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-langmem"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.json",
        "title": "Graphicle vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine.json",
        "title": "Graphicle vs MemMachine",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-memori.json",
        "title": "Graphicle vs Memori",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-memori"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-mempalace.json",
        "title": "Graphicle vs MemPalace",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-mempalace"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-past-dev.json",
        "title": "Graphicle vs past.dev",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-past-dev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory.json",
        "title": "Graphicle vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory.json",
        "title": "Graphicle vs TencentDB Agent Memory",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.json",
        "title": "Graphicle vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-zep.json",
        "title": "Graphicle vs Zep",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-zep"
      }
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    "panel": null,
    "scores": [
      {
        "by": 5,
        "edge": "google-memory-bank",
        "google-memory-bank": 68,
        "graphicle": 63,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "graphicle",
        "google-memory-bank": 75,
        "graphicle": 83,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 10,
        "edge": "graphicle",
        "google-memory-bank": 75,
        "graphicle": 85,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 5,
        "edge": "google-memory-bank",
        "google-memory-bank": 72,
        "graphicle": 67,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 40,
        "edge": "graphicle",
        "google-memory-bank": 20,
        "graphicle": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 21,
        "edge": "graphicle",
        "google-memory-bank": 62,
        "graphicle": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 10,
        "edge": "google-memory-bank",
        "google-memory-bank": 81,
        "graphicle": 71,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Graphicle scores 70.6 (BB) on agent readiness against Agent Platform Memory Bank's 65.6 (B), and leads in 4 of 7 scored categories. Agent Platform Memory Bank leads on reliability, security \u0026 auth and transparency \u0026 trust. Both do agent memory.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "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.",
      "graphicle": "One local program gives a coding agent a code graph and project memory through typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It reached 0.1.10 in sixteen days, its SDKs aren't on any registry, and 0.1.7 fixed symlink file overwrites disclosed only in its changelog."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle",
    "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.min.md"
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  "markdown": "Graphicle scores 70.6 (BB) on agent readiness against Agent Platform Memory Bank's 65.6 (B), and leads in 4 of 7 scored categories. Agent Platform Memory Bank leads on reliability, security \u0026 auth and transparency \u0026 trust. Both do agent memory.\n\n- Agent Platform Memory Bank: grade B, 65.6/100, rank #414 of 1510. Markdown https://www.anchorterminal.com/tools/google-memory-bank.md · JSON https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json\n- Graphicle: grade BB, 70.6/100, rank #193 of 1510. Markdown https://www.anchorterminal.com/tools/graphicle.md · JSON https://www.anchorterminal.com/api/v1/tools/graphicle.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### 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 63\n- Security \u0026 auth, 72 against 67\n- Transparency \u0026 trust, 81 against 71\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### Graphicle (BB)\n\nGood for: A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.\n\nAhead on:\n- Schema \u0026 documentation, 83 against 75\n- Agent ergonomics, 85 against 75\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 83 against 62\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n- Free to start without a card\n- Open source\n\nWatch for: Version 0.1.10, about two weeks old, with stored-data changes shipped in patch releases\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Graphicle +40\n\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- Graphicle (60): No payment protocol (0). Read with the self-hosted rule. Free under Apache-2.0 with nothing to buy (20). No card or account (20). An agent can install it and run `graphicle setup --yes` with no signup, as the README suggests (20). The commercial team edition is still in private preview with no prices on karlex.ai on 1 November, so there is no paid option to score. 0+20+20+20 = 60.\n\n### Maintenance \u0026 community: Graphicle +21\n\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- Graphicle (83): v0.1.10 on 30 October 2026 (30). Eleven releases, v0.1.0 (14 October) to v0.1.10 (30 October), all inside the last 90 days (20). Outside pull requests #9 and #10 shipped in 0.1.6 and 0.1.7 and issue #8's kubernetes timings drove 0.1.5, per the changelog, with Discussions and a Discord linked, but reply times and open issues weren't readable on 1 November (12 of 25). In the official MCP registry as io.github.Graphicle-AI/graphicle, a GitHub-verified namespace, with 0.1.10 published on 30 October and marked latest (15). The SDKs are still not on PyPI or npm. Pinned GitHub Actions, dependency-graph updates and passing tests, but the licence and advisory job failed on main on 15 October and its later runs weren't readable (6 of 10). 30+20+12+15+6 = 83.\n\n### Agent ergonomics: Graphicle +10\n\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- Graphicle (85): 25 tools with memory proposals on, about 24,600 characters of definitions in the v0.1.10 fixture (15). `--tools essentials` serves five tools (`recall_project`, `read_project_source`, `query_graph`, `get_node`, `get_neighbors`, about 7,400 characters) and is what `graphicle setup` gives Claude Code; `--tools graph` or `--tools memory` serves one half, and leaving out `--allow-learning` leaves only read tools plus `graph_link` (10 added back, up from 7 on 15 October, for the essentials set). `recall_project` takes `max_tokens` or `max_chars`, `include` prefixes and `skip_shown`, `query_graph` takes `token_budget` and `depth`, and `list_projects` pages with `offset` and `limit` (20). Over-limit projects are refused with a message naming the limit and its setting, 409 marks a stale revision and 429 carries Retry-After, and since 0.1.7 the Python SDK keeps `retry_after` on its error. MCP error shapes are not documented (12 of 20). 21 tools carry readOnlyHint true and 4 false, all with idempotentHint true and destructiveHint false, there are no destructive tools, and `propose_memory` requires an `idempotency_key` that replays the same proposal (20). Only `question` is required on recall and graph queries. Python and TypeScript SDKs exist, at 0.1.10, but install only from source (8 of 15). 25+20+12+20+8 = 85.\n\n### Transparency \u0026 trust: Agent Platform Memory Bank +10\n\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- Graphicle (71): Apache-2.0 with NOTICE files that credit Graphify and every adapted project (30). The README privacy section and the FAQ list every case in which the program uses the network, say there is no telemetry or account, and keep data in one SQLite store with deletion receipts. A grep of the source for outbound hosts found only model providers, connectors and GitHub, which agrees. The karlex.ai privacy policy of 14 March 2025 covers the website, not the software (20 of 30). SECURITY.md lists supported versions. No deprecation policy (3 of 20). No telemetry to opt out of, and the network cases are disclosed, with `freshness off` and `--code-only` to limit them (18 of 20). 30+20+3+18 = 71.\n\n### Schema \u0026 documentation: Graphicle +8\n\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- Graphicle (83): Every MCP tool has a JSON Schema input with `additionalProperties: false` and required fields marked, read from the tool list fixtures in the repository at v0.1.10 (25). No llms.txt. The docs are Markdown files in the repository that an agent can read raw (5 of 10). Server instructions say which tool to use for structure and which for what the project says, `recall_project` says when to leave the reranker off, and memory tools explain draft review, while graph tools such as `query_graph` carry one-line descriptions (14 of 20). Enums on `mode`, `pack_order`, memory `kind` and `state`, length and item limits, minimum values and closed nested objects (14 of 15). Examples throughout the docs. The OpenAPI file documents 400, 403, 409 and 429 for the HTTP API and limit errors name the setting to change, but MCP error results are not catalogued (10 of 15). A dated changelog, semver crate versions and `/v1` paths (15). 25+5+14+14+10+15 = 83.\n\n### Reliability: Agent Platform Memory Bank +5\n\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- Graphicle (63): Read as local software. Installs from an official Homebrew tap, an install script that checks each archive's SHA-256, or release archives, with macOS and Linux (glibc) on arm64 and x86_64 stated, and since 0.1.5 a Windows preview build that isn't code-signed. No language package registry (20). A public CI workflow formats, lints and tests each of the three crates on macOS and Linux. On 15 October every test job passed on both pushes to main and the cargo-deny job for licences, advisories and sources failed; 0.1.7 (25 October) replaced a yanked crate that cargo-deny warned about, but GitHub's Actions pages weren't readable on 1 November, so the runs are per the 15 October check (18). Outside reports and fixes have been handled in releases (issue #8 on kubernetes speed, pull requests #9 and #10 in 0.1.6 and 0.1.7), but the open issue list couldn't be read on 1 November, so the record is still too thin to judge (15). A dated changelog with eleven releases, each with an \"After upgrading\" section that names the steps a release needs (re-sync, memories that go stale), but large additions and stored-data changes ship in 0.1.x patch bumps (10). Version 0.1.10, not declared stable (0). 20+18+15+10+0 = 63.\n\n## Score by category\n\n| Category | Weight | Agent Platform Memory Bank | Graphicle | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 63 | Agent Platform Memory Bank +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 83 | Graphicle +8 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 85 | Graphicle +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 72 | 67 | Agent Platform Memory Bank +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Graphicle +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 62 | 83 | Graphicle +21 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 81 | 71 | Agent Platform Memory Bank +10 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **65.6 · B** | **70.6 · BB** | |\n\n## Facts side by side\n\n| Fact | Agent Platform Memory Bank | Graphicle |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Google Cloud | KarLex AI, Inc. |\n| Hosted endpoint | `https://aiplatform.googleapis.com/v1` | no (local only) |\n| Transports | HTTP | stdio, Streamable HTTP |\n| Auth | OAuth | OAuth or key |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | none | Apache-2.0 |\n| Tools exposed | none | 25 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| MCP registry | not listed | `io.github.Graphicle-AI/graphicle` |\n| Last release | 2026-08-20 | 2026-10-30 |\n| Terms last updated | 2026-09-02 | 2025-03-14 |\n| Privacy policy last updated | 2026-10-01 | 2025-03-14 |\n| Customer content may train models | yes | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 144 stars |\n| Agent reviews | none | 3.8/5 (4) |\n\n## How the scores have moved\n\n### Agent Platform Memory Bank\n\nNo score change since it was listed.\n\n### Graphicle\n\n- +0.5 on 1 November 2026: product, correction, negative event\n- +0.3 on 27 October 2026 (B to BB): checklist\n\n## Verdicts\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**Graphicle.** One local program gives a coding agent a code graph and project memory through typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It reached 0.1.10 in sixteen days, its SDKs aren't on any registry, and 0.1.7 fixed symlink file overwrites disclosed only in its changelog.\n\n## Before you call either\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### Graphicle\n\n1. Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt\n2. Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project\n3. Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory\n4. Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it\n5. Run `graphicle sync` once after each upgrade, as the changelog's After upgrading sections say, or answers read a stale graph\n\n## Questions\n\n### Which is better for AI agents, Agent Platform Memory Bank or Graphicle?\n\nGraphicle scores 70.6 (BB) on agent readiness against Agent Platform Memory Bank's 65.6 (B), and leads in 4 of 7 scored categories. Agent Platform Memory Bank leads on reliability, security \u0026 auth and transparency \u0026 trust.\n\n### Do Agent Platform Memory Bank and Graphicle need an API key?\n\nAgent Platform Memory Bank uses an OAuth sign-in. Graphicle takes an API key or an OAuth sign-in.\n\n### Can an agent call Agent Platform Memory Bank and Graphicle without installing anything?\n\nAgent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1. Graphicle runs on your own machine, with no hosted endpoint listed.\n\n### Are Agent Platform Memory Bank and Graphicle open source?\n\nNo open-source release is listed for Agent Platform Memory Bank. Graphicle is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-memory-bank-vs-graphicle.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-memory-bank\", \"b\": \"graphicle\"}`. From a terminal: `anchor compare google-memory-bank graphicle`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json and https://www.anchorterminal.com/api/v1/tools/graphicle.json\n\n## Other comparisons with Agent Platform Memory Bank or Graphicle\n\n- [Amazon Bedrock AgentCore Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/agentcore-memory-vs-google-memory-bank.md)\n- [Amazon Bedrock AgentCore Memory vs Graphicle](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.md)\n- [Basic Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/basic-memory-vs-google-memory-bank.md)\n- [Basic Memory vs Graphicle](https://www.anchorterminal.com/compare/basic-memory-vs-graphicle.md)\n- [claude-mem vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/claude-mem-vs-google-memory-bank.md)\n- [claude-mem vs Graphicle](https://www.anchorterminal.com/compare/claude-mem-vs-graphicle.md)\n- [Cognee vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/cognee-vs-google-memory-bank.md)\n- [Cognee vs Graphicle](https://www.anchorterminal.com/compare/cognee-vs-graphicle.md)\n- [EverOS vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.md)\n- [EverOS vs Graphicle](https://www.anchorterminal.com/compare/everos-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- [AI Memory vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/ai-memory-vs-google-memory-bank.md)\n- [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [Context Mode Engine vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.md)\n- [Context Mode Engine vs Graphicle](https://www.anchorterminal.com/compare/context-mode-vs-graphicle.md)\n- [Graphicle vs Graphiti](https://www.anchorterminal.com/compare/graphicle-vs-graphiti.md)\n- [Graphicle vs Hindsight](https://www.anchorterminal.com/compare/graphicle-vs-hindsight.md)\n- [Graphicle vs Honcho](https://www.anchorterminal.com/compare/graphicle-vs-honcho.md)\n- [Graphicle vs Hy Memory](https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.md)\n- [Graphicle vs Khoj](https://www.anchorterminal.com/compare/graphicle-vs-khoj.md)\n- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)\n- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n- [Graphicle vs MemMachine](https://www.anchorterminal.com/compare/graphicle-vs-memmachine.md)\n- [Graphicle vs Memori](https://www.anchorterminal.com/compare/graphicle-vs-memori.md)\n- [Graphicle vs MemPalace](https://www.anchorterminal.com/compare/graphicle-vs-mempalace.md)\n- [Graphicle vs past.dev](https://www.anchorterminal.com/compare/graphicle-vs-past-dev.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.md)\n- [Graphicle vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory.md)\n- [Graphicle vs Tokenrip](https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.md)\n- [Graphicle vs Zep](https://www.anchorterminal.com/compare/graphicle-vs-zep.md)\n",
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