{
  "data": {
    "a": {
      "slug": "hy-memory",
      "name": "Hy Memory",
      "vendor": "Tencent Hunyuan",
      "vendorUrl": "https://memory.hunyuan.tencent.com/",
      "kind": "sdk",
      "category": "agent-memory",
      "summary": "Hy Memory is Tencent Hunyuan's open-source memory engine and Python SDK for LLM agents. `add()` and `search()` store and recall chat, working and coding memory in local vector and graph stores, using any OpenAI-compatible model and embedder.",
      "url": "https://www.anchorterminal.com/tools/hy-memory",
      "markdownUrl": "https://www.anchorterminal.com/tools/hy-memory.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hy-memory.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hy-memory.json",
      "repo": "https://github.com/Tencent-Hunyuan/Hy-Memory",
      "license": "Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "hy-memory"
        }
      ],
      "auth": "none",
      "authNotes": "No account or key of its own. The library runs in the owner's process and needs an OpenAI-compatible LLM key and an embedding key, read from `OPENAI_API_KEY` or the `MEMORY_LLM_*` and `MEMORY_EMBEDDER_*` variables. Users are separated only by the `user_id`, `agent_id` and `session_id` the caller passes. The optional local server (`python -m hy_memory.server`, 127.0.0.1 port 19527) has no authentication.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0, with nothing to buy and no signup. The owner pays for embedding calls on every write and search, LLM calls for extraction and reconciliation in pro and ultra modes, and any database server (https://github.com/Tencent-Hunyuan/Hy-Memory/blob/main/README.md).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the README, docs or source read on 16 October 2026. Self-hosted open-source library with no paid endpoint.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 27,
        "npmWeekly": null,
        "pypiWeekly": 147,
        "asOf": "2026-10-16"
      },
      "docsUrl": "https://github.com/Tencent-Hunyuan/Hy-Memory/blob/main/docs/usage.md",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.user",
        "memory.graph",
        "memory.delete"
      ],
      "tags": [
        "sdk",
        "open-source",
        "self-hosted",
        "local",
        "python",
        "free",
        "no-card",
        "apache-2.0",
        "openai-compatible",
        "knowledge-graph"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 57.7,
        "grade": "C",
        "agentReady": false,
        "rank": 639,
        "ranked": true,
        "rankOf": 1099,
        "categoryRank": 6,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 76,
          "payments": 60,
          "reliability": 65,
          "schema": 55,
          "security": 37,
          "transparency": 62
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-16"
        },
        "negative": 0,
        "verdict": "An Apache-2.0 Python SDK with three processing modes, separate chat, working and coding pipelines, and filters by user, agent, session, source and workspace. Deletion does not stick everywhere. `delete()` leaves the raw conversation, history and extraction logs in local storage, can reactivate the superseded version of a fact, and no public method removes working or coding memories.",
        "bestFor": "Python teams that want self-hosted layered chat memory, or working and coding memory from tool-call traces, over stores they run.",
        "strengths": [
          "Apache-2.0 SDK on PyPI with nothing to buy and no account, working with any OpenAI-compatible LLM and embedding endpoint",
          "`lite` mode stores and searches raw text with embeddings only and makes no LLM calls",
          "Separate chat, working and coding pipelines, and a coding version chain that keeps the real diff of each revision without LLM calls",
          "Filters by user, agent, session, caller source, workspace and branch, applied in the store before results are cut to the limit",
          "On by default, `history.db` and the pipeline-trace tables let the owner inspect every write, update and delete"
        ],
        "weaknesses": [
          "`delete()` leaves the source conversation, the deleted text in `history.db` and extraction prompts in `cache.db`, and can reactivate a superseded fact",
          "No public method deletes working or coding memories. `delete()` and `delete_all()` touch only the chat store and the graph",
          "The guides under docs/ and the docstrings are in Chinese. Only the README is in English",
          "Every 1.x release and 2.0.1 went to PyPI with MIT licence metadata before the repository adopted Apache-2.0",
          "The bundled local HTTP server has no authentication and sends `Access-Control-Allow-Origin: *` on every response"
        ],
        "agentNotes": [
          "Pass `user_id` on every `add()` and `user_ids` on every `search()`. Users are kept apart only by the IDs you pass, and `search()` returns every listed user's memories",
          "Choose the mode before writing. `lite` makes no LLM calls and stores raw text. `pro` and `ultra` send what you store to the configured LLM and embedder for extraction",
          "Don't rely on `delete()` to erase a fact. The raw conversation, `history.db` and `cache.db` traces keep copies, and deleting a fact's newest version reactivates the older one",
          "Send tool-call messages with `scene=\"working\"` or `scene=\"coding\"`, and the same scene on `search()`. Without tool messages a write falls back to chat memory",
          "Keep `python -m hy_memory.server` on 127.0.0.1. It has no authentication and allows any web origin"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 57.7
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 76,
          "payments": 60,
          "reliability": 65,
          "schema": 55,
          "security": 37,
          "transparency": 50
        },
        "provenanceScore": 73
      },
      "connect": {
        "install": "pip install hy-memory   # or: pip install \"hy-memory[qdrant]\""
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/hy-memory"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "Tencent",
        "domain": "tencent.com",
        "domainRegistered": "1998-09-14",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Tencent-Hunyuan/Hy-Memory/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-16",
        "notes": [
          "LICENSE reads 'Copyright (C) 2026 Tencent. All rights reserved.' above the Apache-2.0 text, and the website footer reads '© 2026 Tencent Hunyuan'. No fuller legal name was found.",
          "The website is memory.hunyuan.tencent.com and the repository is under GitHub's Tencent-Hunyuan organisation. RDAP at Verisign gives tencent.com a registration date of 14 September 1998.",
          "No terms or privacy policy applies to the SDK beyond the Apache-2.0 licence, and the website links none. MemHub has its own PRIVACY.md. There is no hosted endpoint, so no status page.",
          "security.txt returns 404 on memory.hunyuan.tencent.com and www.tencent.com. SECURITY.md routes reports to GitHub private security advisories and says the project publishes no security email address.",
          "CHANGELOG.md dates 2.0.1 to 16 October and 2.0.2 to 17 October 2026 (Beijing time). PyPI's upload times are 15 October 17.24 UTC and 16 October 16.01 UTC.",
          "WebFetch read the GitHub front page only. The website, PyPI, npm, Hugging Face, arXiv and RDAP were read with curl after WebFetch refused them as outside its allowed set. memory.hunyuan.tencent.com has no robots.txt (404)."
        ],
        "score": 73
      },
      "requirements": {
        "card": "no",
        "freeTier": true,
        "minutes": 10,
        "credential": "api-key",
        "hosting": [
          "self-hosted"
        ],
        "euResidency": "unknown",
        "trainsOnData": "no",
        "zeroRetention": "unknown",
        "selfHost": "yes"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hy-memory.json"
    },
    "answer": "Supermemory API + MCP scores 63.6 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on payments \u0026 pricing and transparency \u0026 trust.",
    "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": 416,
        "ranked": true,
        "rankOf": 1099,
        "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
          }
        ],
        "editorialScores": {
          "ergonomics": 73,
          "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"
        }
      ],
      "provenance": {
        "legalEntity": "",
        "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",
        "probe": {
          "target": "https://api.supermemory.ai",
          "method": "get",
          "lastAt": "2026-10-17T00:28:40.464308327Z",
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          "lastStatus": 200,
          "lastMs": 234,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 279,
          "p95ms24h": 1032,
          "samples24h": 253,
          "samples30d": 3983,
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          "summary": "All Systems Operational",
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        "pypiWeekly": 32712,
        "securityTxt": {
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          "state": "none",
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          "checkedAt": "2026-10-16T14:20:37.331883618Z"
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        "domain": {
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          "registered": "2024-05-02",
          "source": "https://rdap.identitydigital.services/rdap/domain/supermemory.ai",
          "checkedAt": "2026-10-11T13:14:44.018601654Z"
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        "pages": [
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            "changedAt": "2026-10-15T21:35:16.735823748Z",
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            "url": "https://supermemory.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-16T22:32:06.467406485Z",
            "changedAt": "2026-10-16T22:32:06.467406485Z",
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            "fingerprint": "6ec82c64d396"
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        "updatedAt": "2026-10-17T00:28:40.464308327Z"
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    },
    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Tencent Hunyuan",
        "b": "Supermemory",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.supermemory.ai",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)",
        "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": "2026-10-16",
        "b": "2026-09-21",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2025-06-02",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-09-29",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "27 stars, 147 PyPI/wk",
        "b": "31k stars, 121k npm/wk, 45k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "2.5/5 (4)",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Supermemory API + MCP scores 63.6 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on payments \u0026 pricing and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Hy Memory or Supermemory API + MCP?"
      },
      {
        "answer": "No hosted endpoint is listed for Hy Memory. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.",
        "question": "Can an agent call Hy Memory and Supermemory API + MCP without installing anything?"
      },
      {
        "answer": "Yes. Hy Memory is open source (Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)). Supermemory API + MCP is open source (MIT).",
        "question": "Are Hy Memory and Supermemory API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 30",
          "Transparency \u0026 trust, 62 against 49"
        ],
        "also": [
          "No key needed to call it",
          "Free to start without a card"
        ],
        "goodFor": "Python teams that want self-hosted layered chat memory, or working and coding memory from tool-call traces, over stores they run.",
        "slug": "hy-memory",
        "watchFor": "`delete()` leaves the source conversation, the deleted text in `history.db` and extraction prompts in `cache.db`, and can reactivate a superseded fact"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 85 against 55",
          "Agent ergonomics, 73 against 60",
          "Security \u0026 auth, 54 against 37",
          "Maintenance \u0026 community, 85 against 76"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
        ],
        "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/agentcore-memory-vs-hy-memory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-hy-memory.json",
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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-hy-memory.json",
        "title": "Graphiti vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-hy-memory"
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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-hy-memory.json",
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        "url": "https://www.anchorterminal.com/compare/hindsight-vs-hy-memory"
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      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.json",
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      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory.json",
        "title": "Honcho vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory"
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      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-supermemory.json",
        "title": "Honcho vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-supermemory"
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      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem.json",
        "title": "Hy Memory vs LangMem",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem"
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      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-localghost.json",
        "title": "Hy Memory vs LocalGhost",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-localghost"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0.json",
        "title": "Hy Memory vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server.json",
        "title": "Hy Memory vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-zep.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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        "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.json",
        "title": "Memory (MCP reference server) vs Supermemory API + MCP",
        "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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        "title": "Graphicle vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory"
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      {
        "by": 0,
        "edge": "",
        "hy-memory": 65,
        "key": "reliability",
        "name": "Reliability",
        "supermemory": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 30,
        "edge": "supermemory",
        "hy-memory": 55,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "supermemory": 85,
        "weight": 13
      },
      {
        "by": 13,
        "edge": "supermemory",
        "hy-memory": 60,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "supermemory": 73,
        "weight": 13
      },
      {
        "by": 17,
        "edge": "supermemory",
        "hy-memory": 37,
        "key": "security",
        "name": "Security \u0026 auth",
        "supermemory": 54,
        "weight": 14
      },
      {
        "by": 30,
        "edge": "hy-memory",
        "hy-memory": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "supermemory": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "supermemory",
        "hy-memory": 76,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "supermemory": 85,
        "weight": 7
      },
      {
        "by": 13,
        "edge": "hy-memory",
        "hy-memory": 62,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "supermemory": 49,
        "weight": 7
      }
    ],
    "summary": "Supermemory API + MCP scores 63.6 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.",
    "tutorials": [],
    "verdicts": {
      "hy-memory": "An Apache-2.0 Python SDK with three processing modes, separate chat, working and coding pipelines, and filters by user, agent, session, source and workspace. Deletion does not stick everywhere. `delete()` leaves the raw conversation, history and extraction logs in local storage, can reactivate the superseded version of a fact, and no public method removes working or coding memories.",
      "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 Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.\n\n- Hy Memory: grade C, 57.7/100, rank #639 of 1099. Markdown https://www.anchorterminal.com/tools/hy-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/hy-memory.json\n- Supermemory API + MCP: grade B, 63.6/100, rank #416 of 1099. 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 77 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Hy Memory (C)\n\nGood for: Python teams that want self-hosted layered chat memory, or working and coding memory from tool-call traces, over stores they run.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n- Transparency \u0026 trust, 62 against 49\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n\nWatch for: `delete()` leaves the source conversation, the deleted text in `history.db` and extraction prompts in `cache.db`, and can reactivate a superseded fact\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- Schema \u0026 documentation, 85 against 55\n- Agent ergonomics, 73 against 60\n- Security \u0026 auth, 54 against 37\n- Maintenance \u0026 community, 85 against 76\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: No legal entity named in the terms or privacy policy\n\n\n## Score by category\n\n| Category | Weight | Hy Memory | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 65 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 55 | 85 | Supermemory API + MCP +30 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 73 | Supermemory API + MCP +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 37 | 54 | Supermemory API + MCP +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | Hy Memory +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 76 | 85 | Supermemory API + MCP +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 49 | Hy Memory +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **57.7 · C** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Hy Memory | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Tencent Hunyuan | Supermemory |\n| Hosted endpoint | no (local only) | `https://api.supermemory.ai` |\n| Transports |  | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0) | MIT |\n| Tools exposed | none | 8 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-16 | 2026-09-21 |\n| Terms last updated | no document linked | 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 |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | not found in the text |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 27 stars, 147 PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 2.5/5 (4) | 3.5/5 (2) |\n\n## Verdicts\n\n**Hy Memory.** An Apache-2.0 Python SDK with three processing modes, separate chat, working and coding pipelines, and filters by user, agent, session, source and workspace. Deletion does not stick everywhere. `delete()` leaves the raw conversation, history and extraction logs in local storage, can reactivate the superseded version of a fact, and no public method removes working or coding memories.\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### Hy Memory\n\n1. Pass `user_id` on every `add()` and `user_ids` on every `search()`. Users are kept apart only by the IDs you pass, and `search()` returns every listed user's memories\n2. Choose the mode before writing. `lite` makes no LLM calls and stores raw text. `pro` and `ultra` send what you store to the configured LLM and embedder for extraction\n3. Don't rely on `delete()` to erase a fact. The raw conversation, `history.db` and `cache.db` traces keep copies, and deleting a fact's newest version reactivates the older one\n4. Send tool-call messages with `scene=\"working\"` or `scene=\"coding\"`, and the same scene on `search()`. Without tool messages a write falls back to chat memory\n5. Keep `python -m hy_memory.server` on 127.0.0.1. It has no authentication and allows any web origin\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, Hy Memory or Supermemory API + MCP?\n\nSupermemory API + MCP scores 63.6 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on payments \u0026 pricing and transparency \u0026 trust.\n\n### Can an agent call Hy Memory and Supermemory API + MCP without installing anything?\n\nNo hosted endpoint is listed for Hy Memory. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.\n\n### Are Hy Memory and Supermemory API + MCP open source?\n\nYes. Hy Memory is open source (Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)). Supermemory API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hy-memory\", \"b\": \"supermemory\"}`. From a terminal: `anchor compare hy-memory supermemory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hy-memory.json and https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Other comparisons with Hy Memory or Supermemory API + MCP\n\n- [Amazon Bedrock AgentCore Memory vs Hy Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-hy-memory.md)\n- [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md)\n- [Cognee vs Hy Memory](https://www.anchorterminal.com/compare/cognee-vs-hy-memory.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Graphiti vs Hy Memory](https://www.anchorterminal.com/compare/graphiti-vs-hy-memory.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs Hy Memory](https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs Hy Memory](https://www.anchorterminal.com/compare/honcho-vs-hy-memory.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Hy Memory vs LangMem](https://www.anchorterminal.com/compare/hy-memory-vs-langmem.md)\n- [Hy Memory vs LocalGhost](https://www.anchorterminal.com/compare/hy-memory-vs-localghost.md)\n- [Hy Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-mem0.md)\n- [Hy Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server.md)\n- [Hy Memory vs Zep](https://www.anchorterminal.com/compare/hy-memory-vs-zep.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- [Graphicle vs Hy Memory](https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.md)\n",
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