{
  "data": {
    "a": {
      "slug": "context-mode",
      "name": "Context Mode Engine",
      "vendor": "MKSF LTD",
      "vendorUrl": "https://context-mode.com",
      "kind": "mcp",
      "category": "agent-memory",
      "summary": "Context Mode Engine indexes tool output and session events locally for coding agents. Its MCP tools and client hooks let agents retrieve relevant material while keeping large outputs outside the active context.",
      "url": "https://www.anchorterminal.com/tools/context-mode",
      "markdownUrl": "https://www.anchorterminal.com/tools/context-mode.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/context-mode.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/context-mode.json",
      "repo": "https://github.com/mksglu/context-mode",
      "license": "Elastic License 2.0, source available with restrictions on hosted or managed services.",
      "transports": [
        "stdio"
      ],
      "packages": [
        {
          "registry": "npm",
          "name": "context-mode"
        }
      ],
      "auth": "none",
      "authNotes": "Local stdio MCP server installed from npm, with Node.js 22.5 or later or a supported Bun setup. Automatic routing depends on the client hooks; MCP-only installation does not enable all hooks.",
      "pricing": "freemium",
      "pricingNotes": "Engine runs locally for free. The separate hosted gateway has 1,000 free requests once, then Starter at $20 a month for 10,000 and Pro at $49 for 50,000. Model-provider charges are separate.",
      "priceSummary": "Freemium",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": 11,
      "popularity": {
        "githubStars": 30841,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/mksglu/context-mode#readme",
      "capabilities": [
        "memory.search",
        "context.manage"
      ],
      "tags": [
        "agent-memory",
        "mcp",
        "freemium"
      ],
      "lastRelease": "2026-06-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 45.8,
        "grade": "E",
        "agentReady": false,
        "rank": 993,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 15,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 10,
          "payments": 40,
          "reliability": 45,
          "schema": 65,
          "security": 35,
          "transparency": 42
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.",
        "bestFor": "Context Mode Engine indexes tool output and session events locally for coding agents.",
        "strengths": [
          "Local indexing and selective retrieval",
          "MCP-only and client-hook installation paths",
          "Public source for permission checks"
        ],
        "weaknesses": [
          "Hosted-service restrictions under Elastic License 2.0",
          "Client hook support differs",
          "Sampled CI failures and older GitHub release need investigation"
        ],
        "agentNotes": [
          "Choose the installation guide for the exact coding client.",
          "Check host permissions before enabling code execution.",
          "Review the Elastic licence before hosting Engine for others."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 45.8
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 10,
          "payments": 40,
          "reliability": 45,
          "schema": 65,
          "security": 35,
          "transparency": 45
        },
        "provenanceScore": 39
      },
      "connect": {
        "config": {
          "mcpServers": {
            "context-mode": {
              "args": [
                "-y",
                "context-mode"
              ],
              "command": "npx"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.search",
        "tool": "https://letme.dev/context-mode"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "MKSF LTD",
        "domain": "context-mode.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/mksglu/context-mode/main/LICENSE",
        "privacy": "https://context-mode.com/privacy",
        "statusPage": "",
        "changelog": "https://github.com/mksglu/context-mode/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 39
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/context-mode.json"
    },
    "answer": "Hy Memory scores 57.7 (C) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 5 of 7 scored categories. Context Mode Engine leads on schema \u0026 documentation and agent ergonomics.",
    "b": {
      "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": 669,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 7,
        "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",
      "live": {
        "slug": "hy-memory",
        "versions": [
          {
            "registry": "github",
            "name": "Tencent-Hunyuan/Hy-Memory",
            "version": "v1.0.4",
            "released": "2026-10-18",
            "seenAt": "2026-10-19T03:55:30.325991203Z"
          },
          {
            "registry": "pypi",
            "name": "hy-memory",
            "version": "2.0.4",
            "released": "2026-10-17",
            "seenAt": "2026-10-19T03:55:30.137315931Z"
          }
        ],
        "githubStars": 830,
        "pypiWeekly": 1469,
        "securityTxt": {
          "url": "https://tencent.com/.well-known/security.txt",
          "state": "unknown",
          "checkedAt": "2026-10-18T15:54:25.573430846Z"
        },
        "domain": {
          "domain": "tencent.com",
          "registered": "1998-09-14",
          "source": "https://rdap.verisign.com/com/v1/domain/tencent.com",
          "checkedAt": "2026-10-18T13:31:42.662620923Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/Tencent-Hunyuan/Hy-Memory/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-18T23:36:55.718824303Z",
            "changedAt": "2026-10-18T23:36:55.718824303Z",
            "fingerprint": "b48c42865cb3"
          }
        ],
        "github": {
          "repo": "tencent-hunyuan/hy-memory",
          "checkedAt": "2026-10-19T06:53:32.002337139Z",
          "stars": 866,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-19T06:41:43Z",
          "openIssues": 16,
          "openPRs": 14,
          "issuesOpened90d": 34,
          "issuesClosed90d": 18,
          "prsMerged90d": 30,
          "ci": {
            "branch": "main",
            "runs": 29,
            "success": 21,
            "failure": 8,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-19T05:08:26Z"
          },
          "replies": {
            "sampled": 1,
            "unanswered": 0,
            "medianDays": 0
          }
        },
        "updatedAt": "2026-10-19T06:53:32.002337139Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "SDK + MCP",
        "name": "Kind"
      },
      {
        "a": "MKSF LTD",
        "b": "Tencent Hunyuan",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Elastic License 2.0, source available with restrictions on hosted or managed services.",
        "b": "Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)",
        "name": "Licence"
      },
      {
        "a": "11",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-06-29",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "31k stars",
        "b": "27 stars, 147 PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "2.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Hy Memory scores 57.7 (C) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 5 of 7 scored categories. Context Mode Engine leads on schema \u0026 documentation and agent ergonomics.",
        "question": "Which is better for AI agents, Context Mode Engine or Hy Memory?"
      },
      {
        "answer": "Context Mode Engine runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Hy Memory.",
        "question": "Can an agent call Context Mode Engine and Hy Memory without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Context Mode Engine. 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)).",
        "question": "Are Context Mode Engine and Hy Memory open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 65 against 55",
          "Agent ergonomics, 65 against 60"
        ],
        "also": [
          "Runs on your own machine",
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
        ],
        "goodFor": "Context Mode Engine indexes tool output and session events locally for coding agents.",
        "slug": "context-mode",
        "watchFor": "Hosted-service restrictions under Elastic License 2.0"
      },
      {
        "aheadOn": [
          "Reliability, 65 against 45",
          "Payments \u0026 pricing, 60 against 40",
          "Maintenance \u0026 community, 76 against 10",
          "Transparency \u0026 trust, 62 against 42"
        ],
        "also": [
          "Free to start without a card",
          "Open source"
        ],
        "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"
      }
    ],
    "job": {
      "capability": "memory.search",
      "name": "Memory search"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-hy-memory.json",
        "title": "Amazon Bedrock AgentCore Memory vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-hy-memory.json",
        "title": "Cognee vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-hy-memory"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.json",
        "title": "Hindsight vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory.json",
        "title": "Honcho vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem.json",
        "title": "Hy Memory vs LangMem",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem"
      },
      {
        "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-supermemory.json",
        "title": "Hy Memory vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-zep.json",
        "title": "Hy Memory vs Zep",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-zep"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode.json",
        "title": "Amazon Bedrock AgentCore Memory vs Context Mode Engine",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json",
        "title": "AI Memory vs Context Mode Engine",
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        "by": 20,
        "context-mode": 45,
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        "hy-memory": 65,
        "key": "reliability",
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        "weight": 16
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        "pending": true,
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        "name": "Agent ergonomics",
        "weight": 13
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        "context-mode": 35,
        "edge": "hy-memory",
        "hy-memory": 37,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
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        "context-mode": 40,
        "edge": "hy-memory",
        "hy-memory": 60,
        "key": "payments",
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        "weight": 10
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        "pending": true,
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        "context-mode": 10,
        "edge": "hy-memory",
        "hy-memory": 76,
        "key": "maintenance",
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        "weight": 7
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      {
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        "context-mode": 42,
        "edge": "hy-memory",
        "hy-memory": 62,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
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    "summary": "Hy Memory scores 57.7 (C) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 5 of 7 scored categories. Context Mode Engine leads on schema \u0026 documentation and agent ergonomics. Both do memory search.",
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      "context-mode": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.",
      "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."
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  "markdown": "Hy Memory scores 57.7 (C) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 5 of 7 scored categories. Context Mode Engine leads on schema \u0026 documentation and agent ergonomics. Both do memory search.\n\n- Context Mode Engine: grade E, 45.8/100, rank #993 of 1171. Markdown https://www.anchorterminal.com/tools/context-mode.md · JSON https://www.anchorterminal.com/api/v1/tools/context-mode.json\n- Hy Memory: grade C, 57.7/100, rank #669 of 1171. Markdown https://www.anchorterminal.com/tools/hy-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/hy-memory.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### Context Mode Engine (E)\n\nGood for: Context Mode Engine indexes tool output and session events locally for coding agents.\n\nAhead on:\n- Schema \u0026 documentation, 65 against 55\n- Agent ergonomics, 65 against 60\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: Hosted-service restrictions under Elastic License 2.0\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- Reliability, 65 against 45\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 76 against 10\n- Transparency \u0026 trust, 62 against 42\n\nAlso in its favour:\n- Free to start without a card\n- Open source\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\n## Score by category\n\n| Category | Weight | Context Mode Engine | Hy Memory | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 65 | Hy Memory +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 55 | Context Mode Engine +10 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 60 | Context Mode Engine +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 37 | Hy Memory +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Hy Memory +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 10 | 76 | Hy Memory +66 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 42 | 62 | Hy Memory +20 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **45.8 · E** | **57.7 · C** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | Hy Memory |\n| --- | --- | --- |\n| Kind | MCP server | SDK + MCP |\n| Vendor | MKSF LTD | Tencent Hunyuan |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio |  |\n| Auth | None | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Elastic License 2.0, source available with restrictions on hosted or managed services. | Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0) |\n| Tools exposed | 11 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-06-29 | 2026-10-16 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no date given | no document linked |\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 | not found in the text |  |\n| Popularity | 31k stars | 27 stars, 147 PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 2.5/5 (4) |\n\n## Verdicts\n\n**Context Mode Engine.** Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.\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## Before you call either\n\n### Context Mode Engine\n\n1. Choose the installation guide for the exact coding client.\n2. Check host permissions before enabling code execution.\n3. Review the Elastic licence before hosting Engine for others.\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## Questions\n\n### Which is better for AI agents, Context Mode Engine or Hy Memory?\n\nHy Memory scores 57.7 (C) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 5 of 7 scored categories. Context Mode Engine leads on schema \u0026 documentation and agent ergonomics.\n\n### Can an agent call Context Mode Engine and Hy Memory without installing anything?\n\nContext Mode Engine runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Hy Memory.\n\n### Are Context Mode Engine and Hy Memory open source?\n\nNo open-source release is listed for Context Mode Engine. 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)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"hy-memory\"}`. From a terminal: `anchor compare context-mode hy-memory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/hy-memory.json\n\n## Other comparisons with Context Mode Engine or Hy Memory\n\n- [Amazon Bedrock AgentCore Memory vs Hy Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-hy-memory.md)\n- [Cognee vs Hy Memory](https://www.anchorterminal.com/compare/cognee-vs-hy-memory.md)\n- [Graphiti vs Hy Memory](https://www.anchorterminal.com/compare/graphiti-vs-hy-memory.md)\n- [Hindsight vs Hy Memory](https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.md)\n- [Honcho vs Hy Memory](https://www.anchorterminal.com/compare/honcho-vs-hy-memory.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 Supermemory API + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.md)\n- [Hy Memory vs Zep](https://www.anchorterminal.com/compare/hy-memory-vs-zep.md)\n- [Amazon Bedrock AgentCore Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md)\n- [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md)\n- [Context Mode Engine vs Graphicle](https://www.anchorterminal.com/compare/context-mode-vs-graphicle.md)\n- [Context Mode Engine vs Graphiti](https://www.anchorterminal.com/compare/context-mode-vs-graphiti.md)\n- [Context Mode Engine vs Hindsight](https://www.anchorterminal.com/compare/context-mode-vs-hindsight.md)\n- [Context Mode Engine vs Honcho](https://www.anchorterminal.com/compare/context-mode-vs-honcho.md)\n- [Context Mode Engine vs Khoj](https://www.anchorterminal.com/compare/context-mode-vs-khoj.md)\n- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Context Mode Engine vs Zep](https://www.anchorterminal.com/compare/context-mode-vs-zep.md)\n- [Graphicle vs Hy Memory](https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.md)\n",
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