{
  "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": "Supermemory API + MCP scores 63.6 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on payments \u0026 pricing.",
    "b": {
      "slug": "supermemory",
      "name": "Supermemory API + MCP",
      "vendor": "Supermemory",
      "vendorUrl": "https://supermemory.ai",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Memory and context API that ingests text, URLs, PDFs, images and video, extracts memories into a graph per container tag (usually one per user) and returns them through search or a user profile endpoint.",
      "url": "https://www.anchorterminal.com/tools/supermemory",
      "markdownUrl": "https://www.anchorterminal.com/tools/supermemory.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/supermemory.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/supermemory.json",
      "repo": "https://github.com/supermemoryai/supermemory",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.supermemory.ai",
      "packages": [
        {
          "registry": "npm",
          "name": "supermemory"
        },
        {
          "registry": "pypi",
          "name": "supermemory"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key (`sm_...`) from console.supermemory.ai. Org keys have full access. Scoped keys are limited to one or more container tags, can't read billing, change settings or mint keys, can expire after 1 to 365 days and are revocable. The hosted MCP at mcp.supermemory.ai/mcp signs in with OAuth in a browser and needs no key.",
      "pricing": "freemium",
      "pricingNotes": "Each plan includes monthly usage credit. Free is $0 with $5 of credit, Pro $19 with $20, Max $100 with $130 (adds the Gmail connector), Scale $399 with $600 (adds PDF extraction, S3 and crawler connectors, SOC 2, a HIPAA BAA and a self-hosted option), and Enterprise is committed spend. Usage is $5 per million SM tokens for plain-text memory and $10 for rich content, $1 and $2 per million for SuperRAG text and rich media, $5 per million search queries and $100 per million operations (https://supermemory.ai/pricing). Paid plans can auto top up, and the top-up limits don't cap the invoice (https://supermemory.ai/docs/overview/billing.md).",
      "priceSummary": "$19 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 8,
      "popularity": {
        "githubStars": 31000,
        "npmWeekly": 121387,
        "pypiWeekly": 45053,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://supermemory.ai/docs",
      "llmsTxt": "https://supermemory.ai/docs/llms.txt",
      "openapi": "https://api.supermemory.ai/v4/openapi",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "mcp",
        "oauth",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.6,
        "grade": "B",
        "agentReady": false,
        "rank": 433,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 73,
          "maintenance": 85,
          "payments": 30,
          "reliability": 65,
          "schema": 85,
          "security": 54,
          "transparency": 49
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.",
        "bestFor": "Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.",
        "strengths": [
          "8-tool hosted MCP with OAuth and per-space read or write permission",
          "Scoped keys limited to container tags, with expiry from 1 to 365 days",
          "Status page shows 100 per cent for the API and Console from July to October 2026",
          "Customer content never trains models on any plan, per the security page",
          "One endpoint ingests text, URLs, PDFs, images and video"
        ],
        "weaknesses": [
          "No legal entity named in the terms or privacy policy",
          "No published rate limits or 429 guidance",
          "Ingests web pages and PDFs with no prompt-injection guidance found",
          "v3 and v4 endpoints live side by side, so examples disagree",
          "No security.txt and no official MCP registry entry"
        ],
        "agentNotes": [
          "Use one stable `containerTag` per user and a `customId` per session",
          "Poll the document until `status` is `done` before searching for what you just added",
          "Treat a 402 on search or profile as out of credit, not as a bug",
          "Run the prompt-based mass forget with `dryRun` first",
          "Call who_am_i on the MCP to see which spaces you can write to before adding"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.6
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        ],
        "editorialScores": {
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          "maintenance": 85,
          "payments": 30,
          "reliability": 65,
          "schema": 85,
          "security": 54,
          "transparency": 43
        },
        "provenanceScore": 55
      },
      "connect": {
        "install": "npm install supermemory   # or: pip install supermemory",
        "http": "curl -X POST \"https://api.supermemory.ai/v3/documents\" \\\n  -H \"Authorization: Bearer $SUPERMEMORY_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"content\":\"Sarah is being promoted to VP of Product.\",\"containerTag\":\"user_123\",\"customId\":\"chat_session_1\",\"metadata\":{\"type\":\"conversation\"},\"dreaming\":\"instant\"}'",
        "claudeCode": "claude mcp add --transport http supermemory https://mcp.supermemory.ai/mcp",
        "config": {
          "mcpServers": {
            "supermemory": {
              "type": "http",
              "url": "https://mcp.supermemory.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/supermemory"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 19,
          "note": "$20 of usage credit"
        },
        {
          "item": "Max plan",
          "unit": "month",
          "usd": 100,
          "note": "$130 of usage credit"
        },
        {
          "item": "Scale plan",
          "unit": "month",
          "usd": 399,
          "note": "$600 of usage credit, SOC 2, HIPAA BAA"
        },
        {
          "item": "Memory ingestion, plain text",
          "unit": "1m-tokens",
          "usd": 5,
          "note": "SM tokens"
        },
        {
          "item": "Memory ingestion, rich content",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "PDFs, media and extraction-heavy content"
        },
        {
          "item": "Search and profile queries",
          "unit": "1k-requests",
          "usd": 0.005,
          "note": "$5 per million queries"
        },
        {
          "item": "Operations",
          "unit": "1k-calls",
          "usd": 0.1,
          "note": "$100 per million, e.g. instant dreaming"
        }
      ],
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        "domain": "supermemory.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://supermemory.ai/terms",
        "privacy": "https://supermemory.ai/privacy",
        "statusPage": "https://status.supermemory.ai",
        "changelog": "https://supermemory.ai/changelog/api/",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The terms (updated 2 June 2025) and privacy policy (4 June 2025) refer only to \"supermemory\" in San Francisco and name no company. The terms are governed by Delaware law.",
          "supermemory.ai/.well-known/security.txt returns 404.",
          "The status page tracks the API and the console and showed no incidents from June to September 2026."
        ],
        "score": 55
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/supermemory.json",
      "live": {
        "slug": "supermemory",
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    },
    "facts": [
      {
        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Fabio Akita",
        "b": "Supermemory",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.supermemory.ai",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "free",
        "b": "$0.005 per 1,000 requests",
        "name": "Price for memory search"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "8",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-17",
        "b": "2026-09-21",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "2025-06-02",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-09-29",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "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": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "11k stars",
        "b": "31k stars, 121k npm/wk, 45k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Supermemory API + MCP scores 63.6 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, AI Memory or Supermemory API + MCP?"
      },
      {
        "answer": "AI Memory, at free against $0.005 per 1,000 requests for Supermemory API + MCP. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for memory search, AI Memory or Supermemory API + MCP?"
      },
      {
        "answer": "Both take an API key or an OAuth sign-in.",
        "question": "Do AI Memory and Supermemory API + MCP need an API key?"
      },
      {
        "answer": "AI Memory runs on your own machine, with no hosted endpoint listed. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.",
        "question": "Can an agent call AI Memory and Supermemory API + MCP without installing anything?"
      },
      {
        "answer": "No open-source release is listed for AI Memory. Supermemory API + MCP is open source (MIT).",
        "question": "Are AI Memory and Supermemory API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 30"
        ],
        "also": [
          "Runs on your own machine"
        ],
        "goodFor": "AI Memory keeps shared project memory and task handoffs across coding agents.",
        "slug": "ai-memory",
        "watchFor": "Existing deployments may still lack authentication"
      },
      {
        "aheadOn": [
          "Reliability, 65 against 50",
          "Schema \u0026 documentation, 85 against 65",
          "Agent ergonomics, 73 against 65",
          "Maintenance \u0026 community, 85 against 50",
          "Transparency \u0026 trust, 49 against 35"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "Open source"
        ],
        "goodFor": "Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.",
        "slug": "supermemory",
        "watchFor": "No legal entity named in the terms or privacy policy"
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        "json": "https://www.anchorterminal.com/compare/cognee-vs-supermemory.json",
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        "json": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/localghost-vs-supermemory.json",
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        "url": "https://www.anchorterminal.com/compare/localghost-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json",
        "title": "Mem0 Platform + MCP vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.json",
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        "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory"
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        "json": "https://www.anchorterminal.com/compare/supermemory-vs-zep.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.json",
        "title": "Amazon Bedrock AgentCore Memory vs AI Memory",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json",
        "title": "AI Memory vs Cognee",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json",
        "title": "AI Memory vs Context Mode Engine",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.json",
        "title": "AI Memory vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle"
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      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.json",
        "title": "AI Memory vs Graphiti",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json",
        "title": "AI Memory vs Hindsight",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight"
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      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho.json",
        "title": "AI Memory vs Honcho",
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      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.json",
        "title": "AI Memory vs Hy Memory",
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj.json",
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      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.json",
        "title": "AI Memory vs Egoist AI Passport",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport"
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      {
        "ai-memory": 50,
        "by": 15,
        "edge": "supermemory",
        "key": "reliability",
        "name": "Reliability",
        "supermemory": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "ai-memory": 65,
        "by": 20,
        "edge": "supermemory",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "supermemory": 85,
        "weight": 13
      },
      {
        "ai-memory": 65,
        "by": 8,
        "edge": "supermemory",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "supermemory": 73,
        "weight": 13
      },
      {
        "ai-memory": 55,
        "by": 1,
        "edge": "ai-memory",
        "key": "security",
        "name": "Security \u0026 auth",
        "supermemory": 54,
        "weight": 14
      },
      {
        "ai-memory": 60,
        "by": 30,
        "edge": "ai-memory",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "supermemory": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "ai-memory": 50,
        "by": 35,
        "edge": "supermemory",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "supermemory": 85,
        "weight": 7
      },
      {
        "ai-memory": 35,
        "by": 14,
        "edge": "supermemory",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "supermemory": 49,
        "weight": 7
      }
    ],
    "summary": "Supermemory API + MCP scores 63.6 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on payments \u0026 pricing. Both do memory search.",
    "tutorials": [],
    "verdicts": {
      "ai-memory": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.",
      "supermemory": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy."
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  "markdown": "Supermemory API + MCP scores 63.6 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on 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- Supermemory API + MCP: grade B, 63.6/100, rank #433 of 1171. Markdown https://www.anchorterminal.com/tools/supermemory.md · JSON https://www.anchorterminal.com/api/v1/tools/supermemory.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- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Existing deployments may still lack authentication\n\n### Supermemory API + MCP (B)\n\nGood for: Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.\n\nAhead on:\n- Reliability, 65 against 50\n- Schema \u0026 documentation, 85 against 65\n- Agent ergonomics, 73 against 65\n- Maintenance \u0026 community, 85 against 50\n- Transparency \u0026 trust, 49 against 35\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Open source\n\nWatch for: No legal entity named in the terms or privacy policy\n\n\n## Score by category\n\n| Category | Weight | AI Memory | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 65 | Supermemory API + MCP +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 85 | Supermemory API + MCP +20 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 73 | Supermemory API + MCP +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 54 | AI Memory +1 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | AI Memory +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 85 | Supermemory API + MCP +35 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 35 | 49 | Supermemory API + MCP +14 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.7 · C** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | AI Memory | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Fabio Akita | Supermemory |\n| Hosted endpoint | no (local only) | `https://api.supermemory.ai` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Free | Freemium |\n| Price for memory search | free | $0.005 per 1,000 requests |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Tools exposed | none | 8 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-17 | 2026-09-21 |\n| Terms last updated | no date given | 2025-06-02 |\n| Privacy policy last updated | no document linked | 2026-09-29 |\n| Customer content may train models | not found in the text | 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 | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 11k stars | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 3.5/5 (2) |\n\n## Verdicts\n\n**AI Memory.** Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.\n\n**Supermemory API + MCP.** 8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.\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### Supermemory API + MCP\n\n1. Use one stable `containerTag` per user and a `customId` per session\n2. Poll the document until `status` is `done` before searching for what you just added\n3. Treat a 402 on search or profile as out of credit, not as a bug\n4. Run the prompt-based mass forget with `dryRun` first\n5. Call who_am_i on the MCP to see which spaces you can write to before adding\n\n## Questions\n\n### Which is better for AI agents, AI Memory or Supermemory API + MCP?\n\nSupermemory API + MCP scores 63.6 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on payments \u0026 pricing.\n\n### Which is cheaper for memory search, AI Memory or Supermemory API + MCP?\n\nAI Memory, at free against $0.005 per 1,000 requests for Supermemory API + MCP. These are the vendors' published prices for the job.\n\n### Do AI Memory and Supermemory API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call AI Memory and Supermemory API + MCP without installing anything?\n\nAI Memory runs on your own machine, with no hosted endpoint listed. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.\n\n### Are AI Memory and Supermemory API + MCP open source?\n\nNo open-source release is listed for AI Memory. Supermemory API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ai-memory\", \"b\": \"supermemory\"}`. From a terminal: `anchor compare ai-memory supermemory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Other comparisons with AI Memory or Supermemory API + MCP\n\n- [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Hy Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.md)\n- [LangMem vs Supermemory API + MCP](https://www.anchorterminal.com/compare/langmem-vs-supermemory.md)\n- [LocalGhost vs Supermemory API + MCP](https://www.anchorterminal.com/compare/localghost-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Memory (MCP reference server) vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.md)\n- [Supermemory API + MCP vs Zep](https://www.anchorterminal.com/compare/supermemory-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 Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.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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