{
  "data": {
    "a": {
      "slug": "hindsight",
      "name": "Hindsight",
      "vendor": "Vectorize",
      "vendorUrl": "https://hindsight.vectorize.io",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Memory engine for storing and retrieving information used by agents.",
      "url": "https://www.anchorterminal.com/tools/hindsight",
      "markdownUrl": "https://www.anchorterminal.com/tools/hindsight.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hindsight.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hindsight.json",
      "repo": "https://github.com/vectorize-io/hindsight",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.hindsight.vectorize.io",
      "packages": [
        {
          "registry": "pypi",
          "name": "hindsight-client"
        },
        {
          "registry": "npm",
          "name": "@vectorize-io/hindsight-client"
        },
        {
          "registry": "pypi",
          "name": "hindsight-api"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key on api.hindsight.vectorize.io. Keys can be restricted to named banks and set to expire after an hour to a year, and revoking a parent key revokes its child keys. The hosted MCP uses OAuth with PKCE (RFC 9728), or the same key as a Bearer header. A self-hosted server exposes MCP at /mcp/{bank_id}/ on port 8888.",
      "pricing": "usage",
      "pricingNotes": "Hindsight Cloud is pay as you go, with no monthly fee or seat price. Retain $10.00 per million tokens, recall $0.75 per million, reflect $0.05 a call, Iris Extract $7.50 per million, mental model retrieval $0.25 per million, mental model refresh $0.05 a call, storage $0.25 per million tokens a month. New accounts get free credits, amount not stated. Enterprise adds dedicated infrastructure and up to a 99.95 per cent uptime SLA (https://vectorize.io/pricing). Credit is bought in amounts from $5 to $1,000, and calls return 402 once the balance is empty (https://docs.hindsight.vectorize.io/billing/). Self-hosting is free under MIT.",
      "priceSummary": "$0.05 / call",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 27,
      "popularity": {
        "githubStars": 43400,
        "npmWeekly": 44381,
        "pypiWeekly": 227251,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.hindsight.vectorize.io",
      "openapi": "https://hindsight.vectorize.io/openapi.json",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "mcp",
        "oauth",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50.4,
        "grade": "D",
        "agentReady": false,
        "rank": 359,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 7,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 57,
          "maintenance": 80,
          "payments": 30,
          "reliability": 25,
          "schema": 68,
          "security": 58,
          "transparency": 48
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.",
        "strengths": [
          "Keys restricted to named banks, with expiry from an hour to a year and child-key revocation",
          "`Memory Defense` screens every retain, with regex redaction even in the open-source server",
          "Published per-token and per-call Cloud prices, with no monthly fee, and a published 99.9 per cent SLA",
          "MIT server in one Docker image with an MCP endpoint per bank",
          "Eight PyPI releases between 22 July and 29 September 2026"
        ],
        "weaknesses": [
          "Retain at $10 per million tokens is the priciest ingestion in this category",
          "27 MCP tools per bank, with no subset or read-only option",
          "No status page, no published rate limits and no llms.txt",
          "Prompt-injection blocking and audit trails are Enterprise only",
          "Free credit amount not published"
        ],
        "agentNotes": [
          "Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out",
          "Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning",
          "Pass `async: true` on large retains so the call returns before extraction finishes",
          "Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50.4
          }
        ],
        "editorialScores": {
          "ergonomics": 57,
          "maintenance": 80,
          "payments": 30,
          "reliability": 25,
          "schema": 68,
          "security": 58,
          "transparency": 30
        },
        "provenanceScore": 65
      },
      "connect": {
        "install": "pip install hindsight-client   # or: npm install @vectorize-io/hindsight-client",
        "http": "curl -s \"https://api.hindsight.vectorize.io/v1/default/banks/my-bank/memories/list\" -H \"Authorization: Bearer $HINDSIGHT_API_KEY\"",
        "claudeCode": "claude mcp add --transport http hindsight https://api.hindsight.vectorize.io/mcp/my-bank/",
        "config": {
          "mcpServers": {
            "hindsight": {
              "headers": {
                "Authorization": "Bearer ${HINDSIGHT_API_KEY}"
              },
              "type": "http",
              "url": "https://api.hindsight.vectorize.io/mcp/my-bank/"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/hindsight"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Retain",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "input tokens"
        },
        {
          "item": "Recall",
          "unit": "1m-tokens",
          "usd": 0.75,
          "note": "output tokens"
        },
        {
          "item": "Reflect",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "Iris Extract",
          "unit": "1m-tokens",
          "usd": 7.5
        },
        {
          "item": "Mental model refresh",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "Storage",
          "unit": "1m-tokens",
          "usd": 0.25,
          "note": "per million tokens stored, per month"
        }
      ],
      "provenance": {
        "legalEntity": "Vectorize, Inc.",
        "domain": "vectorize.io",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://vectorize.io/terms",
        "privacy": "https://vectorize.io/privacy",
        "statusPage": "",
        "changelog": "https://docs.hindsight.vectorize.io/whats-new",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The entity name comes from the copyright line on vectorize.io. The privacy policy is embedded from Termly and gives no address.",
          "vectorize.io/.well-known/security.txt returns 404, and we found no status page."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hindsight.json",
      "live": {
        "slug": "hindsight",
        "probe": {
          "target": "https://api.hindsight.vectorize.io",
          "method": "get",
          "lastAt": "2026-10-05T02:29:56.678238469Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 130,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 132,
          "p95ms24h": 396,
          "samples24h": 273,
          "samples30d": 929,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 29,
              "ok": 29
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "vectorize-io/hindsight",
            "version": "v0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:39.70608693Z"
          },
          {
            "registry": "npm",
            "name": "@vectorize-io/hindsight-client",
            "version": "0.10.2",
            "seenAt": "2026-10-04T16:29:37.810729722Z"
          },
          {
            "registry": "pypi",
            "name": "hindsight-api",
            "version": "0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:38.662862892Z"
          },
          {
            "registry": "pypi",
            "name": "hindsight-client",
            "version": "0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:37.622434193Z"
          }
        ],
        "githubStars": 45387,
        "npmWeekly": 65833,
        "pypiWeekly": 225330,
        "securityTxt": {
          "url": "https://vectorize.io/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:46.852372513Z"
        },
        "domain": {
          "domain": "vectorize.io",
          "checkedAt": "2026-10-04T13:05:24.522601574Z"
        },
        "pages": [
          {
            "url": "https://docs.hindsight.vectorize.io/whats-new",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-04T15:43:40.455785234Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "4b4e1a42fe21"
          },
          {
            "url": "https://vectorize.io/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:41.9940699Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8914c2c291ed"
          },
          {
            "url": "https://vectorize.io/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:44.199762911Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0b650c200752"
          },
          {
            "url": "https://vectorize.io/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:46.160685664Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e508ab007e9c"
          }
        ],
        "updatedAt": "2026-10-05T02:29:56.678238469Z"
      }
    },
    "b": {
      "slug": "mem0",
      "name": "Mem0 Platform + MCP",
      "vendor": "Mem0",
      "vendorUrl": "https://mem0.ai",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.",
      "url": "https://www.anchorterminal.com/tools/mem0",
      "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json",
      "repo": "https://github.com/mem0ai/mem0",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.mem0.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "mem0ai"
        },
        {
          "registry": "npm",
          "name": "mem0ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.",
      "pricing": "freemium",
      "pricingNotes": "Hobby is free with 10,000 add requests and 1,000 retrieval requests a month and 1 project. Starter is $19 a month (50,000 adds, 5,000 retrievals). Pro is $249 a month (500,000 adds, 50,000 retrievals, unlimited projects, graph memory, advanced analytics and Dream memory consolidation). Enterprise is custom, with on-prem deployment, audit logs and SSO. The page lists no overage prices or yearly discount (https://mem0.ai/pricing). The free tier needs no card (https://docs.mem0.ai/platform/platform-vs-oss).",
      "priceSummary": "$19 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 11,
      "popularity": {
        "githubStars": 65900,
        "npmWeekly": 167841,
        "pypiWeekly": 501642,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.mem0.ai",
      "llmsTxt": "https://mem0.ai/llms.txt",
      "openapi": "https://docs.mem0.ai/openapi.json",
      "registryName": "io.github.mem0ai/mem0",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-25",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.6,
        "grade": "C",
        "agentReady": false,
        "rank": 301,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 4,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.",
        "strengths": [
          "An agent can create its own Free account with `mem0 init --agent`, no email and no card",
          "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0",
          "Public OpenAPI spec, llms.txt and Python and TypeScript SDKs, both released on 2026-09-25",
          "Apache-2.0 library that runs the same extraction on your own servers"
        ],
        "weaknesses": [
          "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026",
          "No published rate limits or 429 handling, and only 400 and 404 documented as errors",
          "Retrieval caps are low below Pro, 1,000 a month free and 5,000 on Starter",
          "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode",
          "SOC 2 Type I, not Type II, and no security.txt"
        ],
        "agentNotes": [
          "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer",
          "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID",
          "Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users",
          "Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches",
          "On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.6
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 56
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install mem0ai   # or: npm install mem0ai",
        "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'",
        "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"",
        "config": {
          "mcpServers": {
            "mem0": {
              "headers": {
                "Authorization": "Bearer ${MEM0_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.mem0.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/mem0"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 19,
          "note": "50,000 adds and 5,000 retrievals a month"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 249,
          "note": "500,000 adds and 50,000 retrievals a month, graph memory"
        }
      ],
      "provenance": {
        "legalEntity": "Embedchain, Inc. (DBA Mem0)",
        "domain": "mem0.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://mem0.ai/terms",
        "privacy": "https://mem0.ai/privacy-policy",
        "statusPage": "https://status.mem0.ai",
        "changelog": "https://docs.mem0.ai/changelog/platform",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.",
          "mem0.ai/.well-known/security.txt returns 404."
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json",
      "live": {
        "slug": "mem0",
        "probe": {
          "target": "https://api.mem0.ai",
          "method": "get",
          "lastAt": "2026-10-05T02:29:58.541213307Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 448,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
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          "p95ms24h": 485,
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            },
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              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 29,
              "ok": 29
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mem0.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:14.779830933Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mem0ai/mem0",
            "version": "ts-v3.3.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-04T16:32:45.326482651Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.mem0ai/mem0",
            "version": "1.0.0",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "mem0ai",
            "version": "3.3.1",
            "seenAt": "2026-10-04T16:32:44.420534398Z"
          },
          {
            "registry": "pypi",
            "name": "mem0ai",
            "version": "2.2.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-04T16:32:44.229639741Z"
          }
        ],
        "githubStars": 66563,
        "npmWeekly": 194539,
        "pypiWeekly": 499479,
        "securityTxt": {
          "url": "https://mem0.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.268311293Z"
        },
        "llmsTxt": {
          "url": "https://mem0.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:58.107208079Z"
        },
        "domain": {
          "domain": "mem0.ai",
          "registered": "2024-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai",
          "checkedAt": "2026-10-04T13:05:24.712383123Z"
        },
        "pages": [
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            "url": "https://docs.mem0.ai/changelog/platform",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:43:49.172518989Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "260709ea3b0d"
          },
          {
            "url": "https://mem0.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:50.079293708Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a0e74db1e2b1"
          },
          {
            "url": "https://mem0.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:52.274204382Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6ca47106ef6c"
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  "markdown": "Mem0 Platform + MCP has a score of 56.6 (C) against Hindsight's 50.4 (D). Both do memory store. The largest gap is payments \u0026 pricing, 20 points.\n\n- Hindsight: grade D, 50.4/100, rank #359 of 452. Markdown https://www.anchorterminal.com/tools/hindsight.md · JSON https://www.anchorterminal.com/api/v1/tools/hindsight.json\n- Mem0 Platform + MCP: grade C, 56.6/100, rank #301 of 452. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n\n## Which one, for what\n\nPick Hindsight for security \u0026 auth (+13).\n\nPick Mem0 Platform + MCP for reliability (+5), schema \u0026 documentation (+12), agent ergonomics (+6), payments \u0026 pricing (+20), maintenance \u0026 community (+5), transparency \u0026 trust (+18).\n\n## Score by category\n\n| Category | Weight | Hindsight | Mem0 Platform + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 30 | Mem0 Platform + MCP +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 80 | Mem0 Platform + MCP +12 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 63 | Mem0 Platform + MCP +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 45 | Hindsight +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 50 | Mem0 Platform + MCP +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 85 | Mem0 Platform + MCP +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 48 | 66 | Mem0 Platform + MCP +18 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50.4 · D** | **56.6 · C** | |\n\n## Facts side by side\n\n| Fact | Hindsight | Mem0 Platform + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Vectorize | Mem0 |\n| Hosted endpoint | `https://api.hindsight.vectorize.io` | `https://api.mem0.ai` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Tools exposed | 27 | 11 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.mem0ai/mem0` |\n| Last release | 2026-09-29 | 2026-09-25 |\n| Popularity | 43k stars, 44k npm/wk, 227k PyPI/wk | 66k stars, 168k npm/wk, 502k PyPI/wk |\n| Agent reviews | 3/5 (2) | 2.5/5 (2) |\n\n## Verdicts\n\n**Hindsight.** API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.\n\n**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.\n\n## Before you call either\n\n### Hindsight\n\n1. Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out\n2. Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning\n3. Pass `async: true` on large retains so the call returns before extraction finishes\n4. Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank\n\n### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users\n4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches\n5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size\n\n## Other comparisons with Hindsight or Mem0 Platform + MCP\n\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs LocalGhost](https://www.anchorterminal.com/compare/hindsight-vs-localghost.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Hindsight vs Zep](https://www.anchorterminal.com/compare/hindsight-vs-zep.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n",
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    "description": "Mem0 Platform + MCP has a score of 56.6 (C) against Hindsight's 50.4 (D). Both do memory store. The largest gap is payments \u0026 pricing, 20 points. Category scores, facts, verdicts and agent notes side by side.",
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