{
  "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": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "honcho",
      "name": "Honcho",
      "vendor": "Plastic Labs",
      "vendorUrl": "https://honcho.dev",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Honcho is a memory API that models conversation participants, with integrations for Claude Code, Codex, Cursor, OpenCode, OpenClaw and Hermes. Its hosted MCP server is at mcp.honcho.dev.",
      "url": "https://www.anchorterminal.com/tools/honcho",
      "markdownUrl": "https://www.anchorterminal.com/tools/honcho.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/honcho.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/honcho.json",
      "dns": "honcho.grade.anchorterminal.com",
      "repo": "https://github.com/plastic-labs/honcho",
      "license": "AGPL-3.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.honcho.dev/v3",
      "packages": [
        {
          "registry": "pypi",
          "name": "honcho-ai"
        },
        {
          "registry": "npm",
          "name": "@honcho-ai/sdk"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key (`hch-...`) on api.honcho.dev. The create-key endpoint mints further keys scoped to a workspace, peer or session, with an optional expiry, and they're revocable from the API Keys page. The hosted MCP at mcp.honcho.dev takes a key as a Bearer header or an OAuth token, plus an optional workspace header. The AgentCash endpoints take x402 or MPP payment instead of a key, with wallet sign-in for the free ones.",
      "pricing": "usage",
      "pricingNotes": "Ingestion (storage plus background reasoning) is $2.00 per million, and queries through `chat` cost $0.001 (minimal), $0.01 (low), $0.05 (medium), $0.10 (high) or $0.50 (max) each. Context retrieval is listed as unlimited. Startups that have raised under $5 million get $1,000 of credit and 12 months of subsidised pricing (https://honcho.dev/). New organisations get $100 of free credit (https://github.com/plastic-labs/honcho). Over x402 the ingestion price is $2 per million tokens of message content, with a $0.001 minimum and a $5.00 maximum per call (https://agentcash.honcho.dev/openapi.json).",
      "priceSummary": "$0.001 / call",
      "where": "hosted",
      "x402": {
        "level": "yes",
        "evidence": "An AgentCash storefront at agentcash.honcho.dev lists 16 POST endpoints under /api/honcho/. Storing messages and chat are paid over x402 or Tempo MPP on Base, Solana or Tempo. Messages cost $2 per million tokens (minimum $0.001, maximum $5.00), chat $0.001 to $0.50 by reasoning level, and the other endpoints are free (https://agentcash.honcho.dev/openapi.json, checked 2026-09-30).",
        "endpoints": [
          {
            "url": "https://agentcash.honcho.dev/api/honcho/messages",
            "priceUsd": 0.001,
            "network": "eip155:8453"
          },
          {
            "url": "https://agentcash.honcho.dev/api/honcho/chat",
            "priceUsd": 0.001,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 40,
      "popularity": {
        "githubStars": 7400,
        "npmWeekly": 17913,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://honcho.dev/docs",
      "llmsTxt": "https://honcho.dev/docs/llms.txt",
      "openapi": "https://honcho.dev/docs/v3/openapi.json",
      "registryName": "io.github.plastic-labs/honcho",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "x402",
        "stablecoin",
        "mcp",
        "oauth",
        "llms-txt",
        "python",
        "typescript",
        "open-source",
        "self-hosted"
      ],
      "lastRelease": "2026-10-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.6,
        "grade": "C",
        "agentReady": false,
        "rank": 603,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 9,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 71,
          "maintenance": 83,
          "payments": 80,
          "reliability": 50,
          "schema": 84,
          "security": 52,
          "transparency": 69
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-02"
        },
        "negative": -6,
        "negativeNotes": [
          "-3: v3.5.0 and SDK 2.8.0 (2026-10-29, minor releases) changed workspace configuration updates from merging to replacing the stored object, so a client sending one setting now clears the rest. The changelog announced it the day it shipped, with no earlier notice found (https://github.com/plastic-labs/honcho/blob/main/CHANGELOG.md, https://honcho.dev/docs/changelog/introduction)",
          "-3: released fixes with no advisory. v3.2.0 (2026-09-15) stopped peer-scoped keys reaching sessions and peers outside their scope on POST /sessions and POST /peers, and v3.3.0 (2026-10-09) stopped session clones copying a same-named session's data from another workspace. No advisory found in OSV or the commits (https://github.com/plastic-labs/honcho/blob/main/CHANGELOG.md)"
        ],
        "verdict": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints, and keys scoped to a workspace, peer or session. No published rate limits, 429 guidance or SLA, and v3.5.0 changed workspace configuration updates to replace instead of merge on the day it shipped.",
        "bestFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.",
        "strengths": [
          "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints",
          "Keys can be minted per workspace, peer or session, with an expiry, through the API",
          "Context retrieval listed as unlimited, with reasoning billed only when you call chat",
          "Hosted MCP in the official registry with 40 annotated tools, plus OpenAPI specs for v1 to v3",
          "AGPL-3.0 server, the same code that runs the hosted service"
        ],
        "weaknesses": [
          "No published rate limits, 429 guidance or SLA",
          "v3.5.0 changed workspace configuration updates from merge to replace with no advance notice",
          "Access-control fixes in v3.2.0 and v3.3.0 shipped without an advisory",
          "No security.txt, audit log or prompt-injection guidance found",
          "AGPL-3.0 server licence"
        ],
        "agentNotes": [
          "Get or create the workspace with POST /v3/workspaces before writing sessions and messages, and send the full configuration when updating one, since v3.5.0 replaces it",
          "Batch up to 100 messages per request, each under 25,000 characters",
          "Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal",
          "Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace",
          "Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.6
          }
        ],
        "editorialScores": {
          "ergonomics": 71,
          "maintenance": 83,
          "payments": 80,
          "reliability": 50,
          "schema": 84,
          "security": 52,
          "transparency": 56
        },
        "provenanceScore": 81,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-02",
            "maintenance": "2026-11-02",
            "payments": "2026-11-02",
            "reliability": "2026-11-02",
            "schema": "2026-11-02",
            "security": "2026-11-02",
            "transparency": "2026-11-02"
          },
          "last": "2026-11-02",
          "lastMoved": "2026-11-02",
          "oldest": "2026-11-02",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install honcho-ai   # or: npm install @honcho-ai/sdk",
        "http": "curl -X POST https://api.honcho.dev/v3/workspaces -H \"Authorization: Bearer $HONCHO_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"id\":\"workspace-123\",\"metadata\":{}}'",
        "claudeCode": "claude mcp add honcho --transport http \"https://mcp.honcho.dev\" --header \"Authorization: Bearer $HONCHO_API_KEY\"",
        "config": {
          "mcpServers": {
            "honcho": {
              "headers": {
                "Authorization": "Bearer ${HONCHO_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.honcho.dev"
            }
          }
        },
        "x402": "curl -s -i -X POST https://agentcash.honcho.dev/api/honcho/messages -H 'content-type: application/json'\n# 402 -\u003e pay over x402 (USDC on eip155:8453, or Solana) or Tempo MPP -\u003e retry. Request schemas at https://agentcash.honcho.dev/openapi.json"
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/honcho"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Ingestion",
          "unit": "1m-tokens",
          "usd": 2,
          "note": "Storage plus background reasoning. $0.001 minimum per call over x402"
        },
        {
          "item": "chat, minimal reasoning",
          "unit": "call",
          "usd": 0.001
        },
        {
          "item": "chat, low reasoning",
          "unit": "call",
          "usd": 0.01
        },
        {
          "item": "chat, medium reasoning",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "chat, high reasoning",
          "unit": "call",
          "usd": 0.1
        },
        {
          "item": "chat, max reasoning",
          "unit": "call",
          "usd": 0.5
        }
      ],
      "provenance": {
        "legalEntity": "Plastic Labs, Inc.",
        "domain": "honcho.dev",
        "domainRegistered": "2022-01-26",
        "endpointOnVendorDomain": true,
        "terms": "https://app.honcho.dev/tos",
        "privacy": "https://app.honcho.dev/privacy",
        "statusPage": "https://status.honcho.dev",
        "changelog": "https://honcho.dev/docs/changelog/introduction",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The terms name Plastic Labs, Inc., 169 Madison Avenue, New York, with arbitration in New York. They carry no last-updated date.",
          "honcho.dev/.well-known/security.txt returns 404.",
          "The x402 storefront runs on the AgentCash platform at agentcash.honcho.dev, a subdomain of honcho.dev."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/honcho.json",
      "live": {
        "slug": "honcho",
        "probe": {
          "target": "https://api.honcho.dev/v3",
          "method": "get",
          "lastAt": "2026-11-07T19:22:11.903179679Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 142,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 175,
          "p95ms24h": 456,
          "samples24h": 238,
          "samples30d": 7920,
          "days": [
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-29",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-30",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-31",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-11-01",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 241,
              "ok": 241
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.honcho.dev",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-07T19:22:15.342934653Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "plastic-labs/honcho",
            "version": "v3.5.0",
            "released": "2026-10-30",
            "seenAt": "2026-11-06T23:33:00.861976661Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.plastic-labs/honcho",
            "version": "3.0.0",
            "seenAt": "2026-11-07T18:16:28.95801333Z"
          },
          {
            "registry": "npm",
            "name": "@honcho-ai/sdk",
            "version": "2.8.0",
            "seenAt": "2026-11-06T23:33:00.622074981Z"
          },
          {
            "registry": "pypi",
            "name": "honcho-ai",
            "version": "2.8.0",
            "released": "2026-10-30",
            "seenAt": "2026-11-06T23:33:00.413883848Z"
          }
        ],
        "githubStars": 7985,
        "npmWeekly": 33764,
        "pypiWeekly": 67465,
        "securityTxt": {
          "url": "https://honcho.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T16:01:08.247174915Z"
        },
        "llmsTxt": {
          "url": "https://honcho.dev/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:42.419602302Z"
        },
        "domain": {
          "domain": "honcho.dev",
          "registered": "2022-01-26",
          "source": "https://pubapi.registry.google/rdap/domain/honcho.dev",
          "checkedAt": "2026-11-01T14:18:34.31702211Z"
        },
        "pages": [
          {
            "url": "https://honcho.dev/docs/changelog/introduction",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:11:08.348330602Z",
            "changedAt": "2026-11-06T13:33:12.598540414Z",
            "fingerprint": "60f2494ff6a8"
          },
          {
            "url": "https://app.honcho.dev/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-07T13:59:26.250943957Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9da63f6bcbbd"
          },
          {
            "url": "https://app.honcho.dev/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T13:59:28.445165354Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f178ff16d893"
          }
        ],
        "mcpTools": {
          "url": "https://mcp.honcho.dev",
          "checkedAt": "2026-11-07T01:45:19.776240872Z",
          "status": "auth",
          "note": "asks for credentials before listing its tools",
          "changedAt": "2026-11-07T01:45:19.776240872Z"
        },
        "github": {
          "repo": "plastic-labs/honcho",
          "checkedAt": "2026-11-02T09:17:29.930933158Z",
          "stars": 7887,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-11-01T20:47:02Z",
          "openIssues": 103,
          "openPRs": 72,
          "issuesOpened90d": 135,
          "issuesClosed90d": 119,
          "prsMerged90d": 307,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 42,
            "failure": 6,
            "other": 2,
            "latest": "success",
            "latestAt": "2026-10-30T19:10:32Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 14,
            "medianDays": 1.2
          }
        },
        "updatedAt": "2026-11-07T19:22:11.903179679Z"
      }
    },
    "edges": [
      {
        "by": 60,
        "category": "payments",
        "leads": "honcho",
        "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": "x402 and Tempo MPP on 16 endpoints at agentcash.honcho.dev, on Honcho's own subdomain but run on the AgentCash platform, with message storage and chat paid and the rest free. api.honcho.dev itself takes only keys (30 of 40). Ingestion at $2 per million tokens and chat at $0.001 to $0.50 a call are published (20). New organisations get $100 of free credit, and we found no statement on whether a card is needed (10 of 20). An agent can pay per call over x402 with no account (20)."
        },
        "scores": {
          "a": 20,
          "b": 80
        }
      },
      {
        "by": 21,
        "category": "maintenance",
        "leads": "honcho",
        "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": "Server v3.5.0 and both SDKs at 2.8.0 on 29 October 2026 (30). The repository's tags and dated CHANGELOG.md show 11 server releases from v3.0.12 (10 August) to v3.5.0, and SDK releases 2.3.0 to 2.8.0 (20). A maintainer answered the May outage report (#753) and moved updates to Discord, per the 1 October check; GitHub's pages answered 403 on 2 November (10 of 25). The hosted MCP is in the official registry as io.github.plastic-labs/honcho, and the SDKs are current (15). The TypeScript SDK's only runtime dependency is zod; CI workflows are in the repository but their run state wasn't read (8 of 10)."
        },
        "scores": {
          "a": 62,
          "b": 83
        }
      },
      {
        "by": 20,
        "category": "security",
        "leads": "google-memory-bank",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "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.",
          "b": "Keys can be minted through the API scoped to a workspace, a peer or a session, with an optional expires_at, and are revocable from the API Keys page. The MCP takes a Bearer key or OAuth (30). Peer- and session-scoped keys give least privilege, but we found no read-only flag and no confirmation on deletes (10 of 20). Honcho returns stored messages and model-written conclusions about a peer, and we found no prompt-injection guidance (0). No audit log or per-call log found (0). SECURITY.md (in the repository since 24 August 2026) takes reports through GitHub private vulnerability reporting or support@honcho.dev, and the site carried a SOC 2 Type I badge per the 1 October check. No security.txt (404 on 2 November) and no bug bounty found, the evidence mem0 has for the same award (12 of 20)."
        },
        "scores": {
          "a": 72,
          "b": 52
        }
      },
      {
        "by": 18,
        "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": "Rootly status page at status.honcho.dev with Honcho API and Web Dashboard components and history (20). Per the 1 October check, the window holds slow provisioning of new instances on 17 August (about 7 hours, existing instances unaffected) and 36 minutes of migration downtime on 17 September, minor only (20). status.honcho.dev answered a Cloudflare bot check on 2 November, so 2 October to 2 November is unread and isn't credited. No published rate limits found; a Gmail import guide mentions Honcho's rate limits without numbers (0). No 429 or retry guidance found (0). No SLA found (0). The v3 API is generally available (10)."
        },
        "scores": {
          "a": 68,
          "b": 50
        }
      },
      {
        "by": 12,
        "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": "The server is AGPL-3.0, the same code Honcho hosts, and the TypeScript SDK is Apache-2.0 (30). The terms keep data for 90 days after termination and then delete it, and a deleting-data page says what survives each kind of delete. We didn't re-read the privacy policy this run (18 of 30). Docs for v1, v2 and v3 sit side by side with a compatibility guide, but no dated notices or written policy (8 of 20). No subprocessor list or data-location statement found (0)."
        },
        "scores": {
          "a": 81,
          "b": 69
        }
      },
      {
        "by": 9,
        "category": "schema",
        "leads": "honcho",
        "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": "OpenAPI specs for v1, v2 and v3 linked from llms.txt, at honcho.dev/docs/v3/openapi.json for the current version (25). llms.txt (10). Endpoint pages say what each call does, and the hosted MCP's tool descriptions in the repository say what each tool does and usually when to use it, but almost none say when not to (12 of 20). Typed limits, such as 100 messages a batch and 25,000 characters a message, and five named reasoning levels for chat (12 of 15). Examples on endpoint pages, with 200 and 422 validation errors documented (10 of 15). Versioned docs, a compatibility guide and a CHANGELOG.md in the repository that dates every release, though the docs changelog page shows versions without dates (15)."
        },
        "scores": {
          "a": 75,
          "b": 84
        }
      }
    ],
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Google Cloud",
        "b": "Plastic Labs",
        "name": "Vendor"
      },
      {
        "a": "https://aiplatform.googleapis.com/v1",
        "b": "https://api.honcho.dev/v3",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "yes, from $0.001/call",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "AGPL-3.0",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "40",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.plastic-labs/honcho",
        "name": "MCP registry"
      },
      {
        "a": "2026-08-20",
        "b": "2026-10-29",
        "name": "Last release"
      },
      {
        "a": "2026-09-02",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "2025-04-24",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "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": "not found in the text",
        "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": "7.4k stars, 18k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Agent Platform Memory Bank or Honcho?"
      },
      {
        "answer": "Agent Platform Memory Bank uses an OAuth sign-in. Honcho takes an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.",
        "question": "Do Agent Platform Memory Bank and Honcho need an API key?"
      },
      {
        "answer": "Yes. Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1 and Honcho at https://api.honcho.dev/v3.",
        "question": "Can an agent call Agent Platform Memory Bank and Honcho without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Agent Platform Memory Bank. Honcho is open source (AGPL-3.0).",
        "question": "Are Agent Platform Memory Bank and Honcho open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 68 against 50",
          "Security \u0026 auth, 72 against 52",
          "Transparency \u0026 trust, 81 against 69"
        ],
        "also": [
          "No incidents deducted, where Honcho loses 6 points for them"
        ],
        "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, 84 against 75",
          "Payments \u0026 pricing, 80 against 20",
          "Maintenance \u0026 community, 83 against 62"
        ],
        "also": [
          "An agent can pay per call over x402, with no account",
          "Open source"
        ],
        "goodFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.",
        "slug": "honcho",
        "watchFor": "No published rate limits, 429 guidance or SLA"
      }
    ],
    "history": {
      "google-memory-bank": null,
      "honcho": [
        {
          "causes": [
            "evidence",
            "event"
          ],
          "date": "2026-11-02",
          "delta": -2.6,
          "from": 64.2,
          "fromGrade": "B",
          "to": 61.6,
          "toGrade": "C"
        },
        {
          "causes": [
            "evidence"
          ],
          "date": "2026-10-28",
          "delta": 0.1,
          "from": 64.1,
          "fromGrade": "B",
          "to": 64.2,
          "toGrade": "B"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0,
          "from": 64.1,
          "fromGrade": "B",
          "to": 64.1,
          "toGrade": "B"
        }
      ]
    },
    "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-honcho.json",
        "title": "Amazon Bedrock AgentCore Memory vs Honcho",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho"
      },
      {
        "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-honcho.json",
        "title": "Basic Memory vs Honcho",
        "url": "https://www.anchorterminal.com/compare/basic-memory-vs-honcho"
      },
      {
        "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-honcho.json",
        "title": "claude-mem vs Honcho",
        "url": "https://www.anchorterminal.com/compare/claude-mem-vs-honcho"
      },
      {
        "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-honcho.json",
        "title": "Cognee vs Honcho",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-honcho"
      },
      {
        "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-honcho.json",
        "title": "EverOS vs Honcho",
        "url": "https://www.anchorterminal.com/compare/everos-vs-honcho"
      },
      {
        "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-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/graphiti-vs-honcho.json",
        "title": "Graphiti vs Honcho",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-honcho.json",
        "title": "Hindsight vs Honcho",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory.json",
        "title": "Honcho vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-langmem.json",
        "title": "Honcho vs LangMem",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-langmem"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-localghost.json",
        "title": "Honcho vs LocalGhost",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-localghost"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-mem0.json",
        "title": "Honcho vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-memmachine.json",
        "title": "Honcho vs MemMachine",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-memmachine"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-memori.json",
        "title": "Honcho vs Memori",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-memori"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.json",
        "title": "Honcho vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-mempalace.json",
        "title": "Honcho vs MemPalace",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-mempalace"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-past-dev.json",
        "title": "Honcho vs past.dev",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-past-dev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-supermemory.json",
        "title": "Honcho vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory.json",
        "title": "Honcho vs TencentDB Agent Memory",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-tokenrip.json",
        "title": "Honcho vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-zep.json",
        "title": "Honcho vs Zep",
        "url": "https://www.anchorterminal.com/compare/honcho-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-honcho.json",
        "title": "AI Memory vs Honcho",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho"
      },
      {
        "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-honcho.json",
        "title": "Context Mode Engine vs Honcho",
        "url": "https://www.anchorterminal.com/compare/context-mode-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-honcho.json",
        "title": "Graphicle vs Honcho",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-honcho"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 18,
        "edge": "google-memory-bank",
        "google-memory-bank": 68,
        "honcho": 50,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "honcho",
        "google-memory-bank": 75,
        "honcho": 84,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 4,
        "edge": "google-memory-bank",
        "google-memory-bank": 75,
        "honcho": 71,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 20,
        "edge": "google-memory-bank",
        "google-memory-bank": 72,
        "honcho": 52,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 60,
        "edge": "honcho",
        "google-memory-bank": 20,
        "honcho": 80,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 21,
        "edge": "honcho",
        "google-memory-bank": 62,
        "honcho": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 12,
        "edge": "google-memory-bank",
        "google-memory-bank": 81,
        "honcho": 69,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community. Both do agent memory. Honcho accepts x402. Agent Platform Memory Bank doesn't.",
    "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.",
      "honcho": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints, and keys scoped to a workspace, peer or session. No published rate limits, 429 guidance or SLA, and v3.5.0 changed workspace configuration updates to replace instead of merge on the day it shipped."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho",
    "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.min.md"
  },
  "markdown": "Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community. Both do agent memory. Honcho accepts x402. Agent Platform Memory Bank doesn't.\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- Honcho: grade C, 61.6/100, rank #603 of 1510. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.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 50\n- Security \u0026 auth, 72 against 52\n- Transparency \u0026 trust, 81 against 69\n\nAlso in its favour:\n- No incidents deducted, where Honcho loses 6 points for them\n\nWatch for: Needs a Google Cloud project with billing, set up by a person in the console\n\n### Honcho (C)\n\nGood for: Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.\n\nAhead on:\n- Schema \u0026 documentation, 84 against 75\n- Payments \u0026 pricing, 80 against 20\n- Maintenance \u0026 community, 83 against 62\n\nAlso in its favour:\n- An agent can pay per call over x402, with no account\n- Open source\n\nWatch for: No published rate limits, 429 guidance or SLA\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Honcho +60\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- Honcho (80): x402 and Tempo MPP on 16 endpoints at agentcash.honcho.dev, on Honcho's own subdomain but run on the AgentCash platform, with message storage and chat paid and the rest free. api.honcho.dev itself takes only keys (30 of 40). Ingestion at $2 per million tokens and chat at $0.001 to $0.50 a call are published (20). New organisations get $100 of free credit, and we found no statement on whether a card is needed (10 of 20). An agent can pay per call over x402 with no account (20).\n\n### Maintenance \u0026 community: Honcho +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- Honcho (83): Server v3.5.0 and both SDKs at 2.8.0 on 29 October 2026 (30). The repository's tags and dated CHANGELOG.md show 11 server releases from v3.0.12 (10 August) to v3.5.0, and SDK releases 2.3.0 to 2.8.0 (20). A maintainer answered the May outage report (#753) and moved updates to Discord, per the 1 October check; GitHub's pages answered 403 on 2 November (10 of 25). The hosted MCP is in the official registry as io.github.plastic-labs/honcho, and the SDKs are current (15). The TypeScript SDK's only runtime dependency is zod; CI workflows are in the repository but their run state wasn't read (8 of 10).\n\n### Security \u0026 auth: Agent Platform Memory Bank +20\n\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- Honcho (52): Keys can be minted through the API scoped to a workspace, a peer or a session, with an optional expires_at, and are revocable from the API Keys page. The MCP takes a Bearer key or OAuth (30). Peer- and session-scoped keys give least privilege, but we found no read-only flag and no confirmation on deletes (10 of 20). Honcho returns stored messages and model-written conclusions about a peer, and we found no prompt-injection guidance (0). No audit log or per-call log found (0). SECURITY.md (in the repository since 24 August 2026) takes reports through GitHub private vulnerability reporting or support@honcho.dev, and the site carried a SOC 2 Type I badge per the 1 October check. No security.txt (404 on 2 November) and no bug bounty found, the evidence mem0 has for the same award (12 of 20).\n\n### Reliability: Agent Platform Memory Bank +18\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- Honcho (50): Rootly status page at status.honcho.dev with Honcho API and Web Dashboard components and history (20). Per the 1 October check, the window holds slow provisioning of new instances on 17 August (about 7 hours, existing instances unaffected) and 36 minutes of migration downtime on 17 September, minor only (20). status.honcho.dev answered a Cloudflare bot check on 2 November, so 2 October to 2 November is unread and isn't credited. No published rate limits found; a Gmail import guide mentions Honcho's rate limits without numbers (0). No 429 or retry guidance found (0). No SLA found (0). The v3 API is generally available (10).\n\n### Transparency \u0026 trust: Agent Platform Memory Bank +12\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- Honcho (69): The server is AGPL-3.0, the same code Honcho hosts, and the TypeScript SDK is Apache-2.0 (30). The terms keep data for 90 days after termination and then delete it, and a deleting-data page says what survives each kind of delete. We didn't re-read the privacy policy this run (18 of 30). Docs for v1, v2 and v3 sit side by side with a compatibility guide, but no dated notices or written policy (8 of 20). No subprocessor list or data-location statement found (0).\n\n### Schema \u0026 documentation: Honcho +9\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- Honcho (84): OpenAPI specs for v1, v2 and v3 linked from llms.txt, at honcho.dev/docs/v3/openapi.json for the current version (25). llms.txt (10). Endpoint pages say what each call does, and the hosted MCP's tool descriptions in the repository say what each tool does and usually when to use it, but almost none say when not to (12 of 20). Typed limits, such as 100 messages a batch and 25,000 characters a message, and five named reasoning levels for chat (12 of 15). Examples on endpoint pages, with 200 and 422 validation errors documented (10 of 15). Versioned docs, a compatibility guide and a CHANGELOG.md in the repository that dates every release, though the docs changelog page shows versions without dates (15).\n\n## Score by category\n\n| Category | Weight | Agent Platform Memory Bank | Honcho | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 50 | Agent Platform Memory Bank +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 84 | Honcho +9 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 71 | Agent Platform Memory Bank +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 72 | 52 | Agent Platform Memory Bank +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 80 | Honcho +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 62 | 83 | Honcho +21 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 81 | 69 | Agent Platform Memory Bank +12 |\n| Negative events | ≤15 | 0 | -6 | |\n| **Total** | | **65.6 · B** | **61.6 · C** | |\n\n## Facts side by side\n\n| Fact | Agent Platform Memory Bank | Honcho |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Google Cloud | Plastic Labs |\n| Hosted endpoint | `https://aiplatform.googleapis.com/v1` | `https://api.honcho.dev/v3` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | yes, from $0.001/call |\n| Licence | none | AGPL-3.0 |\n| Tools exposed | none | 40 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.plastic-labs/honcho` |\n| Last release | 2026-08-20 | 2026-10-29 |\n| Terms last updated | 2026-09-02 | no date given |\n| Privacy policy last updated | 2026-10-01 | 2025-04-24 |\n| Customer content may train models | yes | not found in the text |\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 | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 7.4k stars, 18k npm/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## How the scores have moved\n\n### Agent Platform Memory Bank\n\nNo score change since it was listed.\n\n### Honcho\n\n- -2.6 on 2 November 2026 (B to C): new evidence, negative event\n- +0.1 on 28 October 2026: new evidence\n- no change on 27 October 2026: 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**Honcho.** Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints, and keys scoped to a workspace, peer or session. No published rate limits, 429 guidance or SLA, and v3.5.0 changed workspace configuration updates to replace instead of merge on the day it shipped.\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### Honcho\n\n1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages, and send the full configuration when updating one, since v3.5.0 replaces it\n2. Batch up to 100 messages per request, each under 25,000 characters\n3. Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal\n4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace\n5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor\n\n## Questions\n\n### Which is better for AI agents, Agent Platform Memory Bank or Honcho?\n\nAgent Platform Memory Bank scores 65.6 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Agent Platform Memory Bank and Honcho need an API key?\n\nAgent Platform Memory Bank uses an OAuth sign-in. Honcho takes an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.\n\n### Can an agent call Agent Platform Memory Bank and Honcho without installing anything?\n\nYes. Agent Platform Memory Bank has a hosted endpoint at https://aiplatform.googleapis.com/v1 and Honcho at https://api.honcho.dev/v3.\n\n### Are Agent Platform Memory Bank and Honcho open source?\n\nNo open-source release is listed for Agent Platform Memory Bank. Honcho is open source (AGPL-3.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-memory-bank-vs-honcho.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-memory-bank\", \"b\": \"honcho\"}`. From a terminal: `anchor compare google-memory-bank honcho`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-memory-bank.json and https://www.anchorterminal.com/api/v1/tools/honcho.json\n\n## Other comparisons with Agent Platform Memory Bank or Honcho\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 Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.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 Honcho](https://www.anchorterminal.com/compare/basic-memory-vs-honcho.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 Honcho](https://www.anchorterminal.com/compare/claude-mem-vs-honcho.md)\n- [Cognee vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/cognee-vs-google-memory-bank.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [EverOS vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.md)\n- [EverOS vs Honcho](https://www.anchorterminal.com/compare/everos-vs-honcho.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 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- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Honcho vs Hy Memory](https://www.anchorterminal.com/compare/honcho-vs-hy-memory.md)\n- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md)\n- [Honcho vs LocalGhost](https://www.anchorterminal.com/compare/honcho-vs-localghost.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs MemMachine](https://www.anchorterminal.com/compare/honcho-vs-memmachine.md)\n- [Honcho vs Memori](https://www.anchorterminal.com/compare/honcho-vs-memori.md)\n- [Honcho vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.md)\n- [Honcho vs MemPalace](https://www.anchorterminal.com/compare/honcho-vs-mempalace.md)\n- [Honcho vs past.dev](https://www.anchorterminal.com/compare/honcho-vs-past-dev.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Honcho vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory.md)\n- [Honcho vs Tokenrip](https://www.anchorterminal.com/compare/honcho-vs-tokenrip.md)\n- [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-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 Honcho](https://www.anchorterminal.com/compare/ai-memory-vs-honcho.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 Honcho](https://www.anchorterminal.com/compare/context-mode-vs-honcho.md)\n- [Graphicle vs Honcho](https://www.anchorterminal.com/compare/graphicle-vs-honcho.md)\n",
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