{
  "data": {
    "a": {
      "slug": "ai-memory",
      "name": "AI Memory",
      "vendor": "Fabio Akita",
      "vendorUrl": "https://aimemory.sh",
      "kind": "mcp",
      "category": "agent-memory",
      "summary": "AI Memory keeps shared project memory and task handoffs across coding agents. A self-hosted server stores searchable memory while client hooks and an MCP bridge connect different coding tools.",
      "url": "https://www.anchorterminal.com/tools/ai-memory",
      "markdownUrl": "https://www.anchorterminal.com/tools/ai-memory.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ai-memory.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ai-memory.json",
      "repo": "https://github.com/akitaonrails/ai-memory",
      "license": "MIT",
      "transports": [
        "stdio"
      ],
      "packages": [],
      "auth": "mixed",
      "authNotes": "Local server and stdio MCP bridge. Fresh initialisation creates a root bearer token. Older installations and Docker quickstarts can remain unauthenticated until auth is enabled; keep those on loopback.",
      "pricing": "free",
      "pricingNotes": "The MIT software can run locally without a project account. Search has a zero-LLM mode; optional consolidation or configured model use can incur provider charges. Hosting costs are the operator’s responsibility.",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10684,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/akitaonrails/ai-memory#readme",
      "capabilities": [
        "memory.search",
        "memory.write",
        "agent.handoff"
      ],
      "tags": [
        "agent-memory",
        "mcp",
        "free"
      ],
      "lastRelease": "2026-10-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.7,
        "grade": "C",
        "agentReady": false,
        "rank": 733,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 50,
          "payments": 60,
          "reliability": 50,
          "schema": 65,
          "security": 55,
          "transparency": 35
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.",
        "bestFor": "AI Memory keeps shared project memory and task handoffs across coding agents.",
        "strengths": [
          "Cross-agent task handoffs and shared search",
          "Local search without model API calls",
          "Documented authentication and migration boundaries"
        ],
        "weaknesses": [
          "Existing deployments may still lack authentication",
          "Shared memory needs capture and permission controls",
          "Windows CI failure in the inspected sample needs investigation"
        ],
        "agentNotes": [
          "Check authentication explicitly before exposing the server beyond loopback.",
          "Exclude secrets and sensitive repositories from memory capture.",
          "Back up memory and follow the version 3 migration guide."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.7
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 50,
          "payments": 60,
          "reliability": 50,
          "schema": 65,
          "security": 55,
          "transparency": 55
        },
        "provenanceScore": 14
      },
      "letme": {
        "capability": "https://letme.dev/memory.search",
        "tool": "https://letme.dev/ai-memory"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "",
        "domain": "aimemory.sh",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/LICENSE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/akitaonrails/ai-memory/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 14
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/ai-memory.json"
    },
    "answer": "Mem0 Platform + MCP and AI Memory score within a point of each other on agent readiness, 56.1 (C) and 55.7 (C). AI Memory leads on reliability, security \u0026 auth and payments \u0026 pricing.",
    "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": {
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        "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": 56.1,
        "grade": "C",
        "agentReady": false,
        "rank": 721,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
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          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 60
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        "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.",
        "bestFor": "Chat products that want per-user facts back with one search call and little setup.",
        "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": [
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            "basis": "public evidence",
            "confidence": "medium",
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              "tasks"
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            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.1
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        ],
        "editorialScores": {
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          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 56
        },
        "provenanceScore": 64
      },
      "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": 64
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json",
      "live": {
        "slug": "mem0",
        "probe": {
          "target": "https://api.mem0.ai",
          "method": "get",
          "lastAt": "2026-10-19T09:34:35.447801702Z",
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          "lastMs": 426,
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          "samples30d": 4588,
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              "ok": 248
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              "date": "2026-10-05",
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              "date": "2026-10-19",
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              "ok": 102
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          "page": "https://status.mem0.ai",
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          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-19T09:03:54.369618996Z"
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          "checkedAt": "2026-10-18T14:25:26.937252905Z"
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        "domain": {
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          "registered": "2024-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai",
          "checkedAt": "2026-10-18T13:27:54.754961682Z"
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            "changedAt": "0001-01-01T00:00:00Z",
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            "url": "https://mem0.ai/terms",
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            "unanswered": 25
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        "updatedAt": "2026-10-19T09:34:35.447801702Z"
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    "facts": [
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        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
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      {
        "a": "Fabio Akita",
        "b": "Mem0",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.mem0.ai",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "11",
        "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.mem0ai/mem0",
        "name": "MCP registry"
      },
      {
        "a": "2026-10-17",
        "b": "2026-09-25",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "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": "11k stars",
        "b": "66k stars, 168k npm/wk, 502k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Mem0 Platform + MCP and AI Memory score within a point of each other on agent readiness, 56.1 (C) and 55.7 (C). AI Memory leads on reliability, security \u0026 auth and payments \u0026 pricing.",
        "question": "Which is better for AI agents, AI Memory or Mem0 Platform + MCP?"
      },
      {
        "answer": "AI Memory takes an API key or an OAuth sign-in. Mem0 Platform + MCP needs an API key.",
        "question": "Do AI Memory and Mem0 Platform + MCP need an API key?"
      },
      {
        "answer": "AI Memory runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.",
        "question": "Can an agent call AI Memory and Mem0 Platform + MCP without installing anything?"
      },
      {
        "answer": "No open-source release is listed for AI Memory. Mem0 Platform + MCP is open source (Apache-2.0).",
        "question": "Are AI Memory and Mem0 Platform + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 50 against 30",
          "Security \u0026 auth, 55 against 45",
          "Payments \u0026 pricing, 60 against 50"
        ],
        "also": [
          "Runs on your own machine",
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
        ],
        "goodFor": "AI Memory keeps shared project memory and task handoffs across coding agents.",
        "slug": "ai-memory",
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        "json": "https://www.anchorterminal.com/compare/localghost-vs-mem0.json",
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        "json": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json",
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      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json",
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        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.json",
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json",
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.json",
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.json",
        "title": "AI Memory vs Graphiti",
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      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json",
        "title": "AI Memory vs Hindsight",
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho.json",
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        "ai-memory": 50,
        "by": 20,
        "edge": "ai-memory",
        "key": "reliability",
        "mem0": 30,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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        "by": 15,
        "edge": "mem0",
        "key": "schema",
        "mem0": 80,
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        "weight": 13
      },
      {
        "ai-memory": 65,
        "by": 2,
        "edge": "ai-memory",
        "key": "ergonomics",
        "mem0": 63,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "ai-memory": 55,
        "by": 10,
        "edge": "ai-memory",
        "key": "security",
        "mem0": 45,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "ai-memory": 60,
        "by": 10,
        "edge": "ai-memory",
        "key": "payments",
        "mem0": 50,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
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        "name": "Task success",
        "pending": true,
        "weight": 10
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        "ai-memory": 50,
        "by": 35,
        "edge": "mem0",
        "key": "maintenance",
        "mem0": 85,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "ai-memory": 35,
        "by": 25,
        "edge": "mem0",
        "key": "transparency",
        "mem0": 60,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
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    "summary": "Mem0 Platform + MCP and AI Memory score within a point of each other on agent readiness, 56.1 (C) and 55.7 (C). AI Memory leads on reliability, security \u0026 auth and payments \u0026 pricing. Both do memory search.",
    "tutorials": [],
    "verdicts": {
      "ai-memory": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.",
      "mem0": "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."
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  "markdown": "Mem0 Platform + MCP and AI Memory score within a point of each other on agent readiness, 56.1 (C) and 55.7 (C). AI Memory leads on reliability, security \u0026 auth and payments \u0026 pricing. Both do memory search.\n\n- AI Memory: grade C, 55.7/100, rank #733 of 1171. Markdown https://www.anchorterminal.com/tools/ai-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/ai-memory.json\n- Mem0 Platform + MCP: grade C, 56.1/100, rank #721 of 1171. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 103 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### AI Memory (C)\n\nGood for: AI Memory keeps shared project memory and task handoffs across coding agents.\n\nAhead on:\n- Reliability, 50 against 30\n- Security \u0026 auth, 55 against 45\n- Payments \u0026 pricing, 60 against 50\n\nAlso in its favour:\n- Runs on your own machine\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: Existing deployments may still lack authentication\n\n### Mem0 Platform + MCP (C)\n\nGood for: Chat products that want per-user facts back with one search call and little setup.\n\nAhead on:\n- Schema \u0026 documentation, 80 against 65\n- Maintenance \u0026 community, 85 against 50\n- Transparency \u0026 trust, 60 against 35\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n- Open source\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n\n## Score by category\n\n| Category | Weight | AI Memory | Mem0 Platform + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 30 | AI Memory +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 80 | Mem0 Platform + MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 63 | AI Memory +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 45 | AI Memory +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 50 | AI Memory +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 85 | Mem0 Platform + MCP +35 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 35 | 60 | Mem0 Platform + MCP +25 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.7 · C** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | AI Memory | Mem0 Platform + MCP |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Fabio Akita | Mem0 |\n| Hosted endpoint | no (local only) | `https://api.mem0.ai` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Tools exposed | none | 11 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.mem0ai/mem0` |\n| Last release | 2026-10-17 | 2026-09-25 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\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 | 11k stars | 66k stars, 168k npm/wk, 502k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 2.5/5 (2) |\n\n## Verdicts\n\n**AI Memory.** Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.\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### AI Memory\n\n1. Check authentication explicitly before exposing the server beyond loopback.\n2. Exclude secrets and sensitive repositories from memory capture.\n3. Back up memory and follow the version 3 migration guide.\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## Questions\n\n### Which is better for AI agents, AI Memory or Mem0 Platform + MCP?\n\nMem0 Platform + MCP and AI Memory score within a point of each other on agent readiness, 56.1 (C) and 55.7 (C). AI Memory leads on reliability, security \u0026 auth and payments \u0026 pricing.\n\n### Do AI Memory and Mem0 Platform + MCP need an API key?\n\nAI Memory takes an API key or an OAuth sign-in. Mem0 Platform + MCP needs an API key.\n\n### Can an agent call AI Memory and Mem0 Platform + MCP without installing anything?\n\nAI Memory runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.\n\n### Are AI Memory and Mem0 Platform + MCP open source?\n\nNo open-source release is listed for AI Memory. Mem0 Platform + MCP is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-mem0.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ai-memory\", \"b\": \"mem0\"}`. From a terminal: `anchor compare ai-memory mem0`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/mem0.json\n\n## Other comparisons with AI Memory or Mem0 Platform + MCP\n\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Hy Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-mem0.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.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- [Amazon Bedrock AgentCore Memory vs AI Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.md)\n- [AI Memory vs Cognee](https://www.anchorterminal.com/compare/ai-memory-vs-cognee.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [AI Memory vs Graphiti](https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.md)\n- [AI Memory vs Hindsight](https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md)\n- [AI Memory vs Honcho](https://www.anchorterminal.com/compare/ai-memory-vs-honcho.md)\n- [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md)\n- [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md)\n- [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n- [AI Memory vs Egoist AI Passport](https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.md)\n",
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