{
  "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": "Mem0 Platform + MCP scores 56.1 (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 reliability.",
    "b": {
      "slug": "mem0",
      "name": "Mem0 Platform + MCP",
      "vendor": "Mem0",
      "vendorUrl": "https://mem0.ai",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.",
      "url": "https://www.anchorterminal.com/tools/mem0",
      "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json",
      "repo": "https://github.com/mem0ai/mem0",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.mem0.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "mem0ai"
        },
        {
          "registry": "npm",
          "name": "mem0ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.",
      "pricing": "freemium",
      "pricingNotes": "Hobby is free with 10,000 add requests and 1,000 retrieval requests a month and 1 project. Starter is $19 a month (50,000 adds, 5,000 retrievals). Pro is $249 a month (500,000 adds, 50,000 retrievals, unlimited projects, graph memory, advanced analytics and Dream memory consolidation). Enterprise is custom, with on-prem deployment, audit logs and SSO. The page lists no overage prices or yearly discount (https://mem0.ai/pricing). The free tier needs no card (https://docs.mem0.ai/platform/platform-vs-oss).",
      "priceSummary": "$19 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 11,
      "popularity": {
        "githubStars": 65900,
        "npmWeekly": 167841,
        "pypiWeekly": 501642,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.mem0.ai",
      "llmsTxt": "https://mem0.ai/llms.txt",
      "openapi": "https://docs.mem0.ai/openapi.json",
      "registryName": "io.github.mem0ai/mem0",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-25",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.1,
        "grade": "C",
        "agentReady": false,
        "rank": 721,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.",
        "bestFor": "Chat products that want per-user facts back with one search call and little setup.",
        "strengths": [
          "An agent can create its own Free account with `mem0 init --agent`, no email and no card",
          "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0",
          "Public OpenAPI spec, llms.txt and Python and TypeScript SDKs, both released on 2026-09-25",
          "Apache-2.0 library that runs the same extraction on your own servers"
        ],
        "weaknesses": [
          "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026",
          "No published rate limits or 429 handling, and only 400 and 404 documented as errors",
          "Retrieval caps are low below Pro, 1,000 a month free and 5,000 on Starter",
          "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode",
          "SOC 2 Type I, not Type II, and no security.txt"
        ],
        "agentNotes": [
          "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer",
          "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID",
          "Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users",
          "Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches",
          "On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.1
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 56
        },
        "provenanceScore": 64
      },
      "connect": {
        "install": "pip install mem0ai   # or: npm install mem0ai",
        "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'",
        "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"",
        "config": {
          "mcpServers": {
            "mem0": {
              "headers": {
                "Authorization": "Bearer ${MEM0_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.mem0.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/mem0"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 19,
          "note": "50,000 adds and 5,000 retrievals a month"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 249,
          "note": "500,000 adds and 50,000 retrievals a month, graph memory"
        }
      ],
      "provenance": {
        "legalEntity": "Embedchain, Inc. (DBA Mem0)",
        "domain": "mem0.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://mem0.ai/terms",
        "privacy": "https://mem0.ai/privacy-policy",
        "statusPage": "https://status.mem0.ai",
        "changelog": "https://docs.mem0.ai/changelog/platform",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.",
          "mem0.ai/.well-known/security.txt returns 404."
        ],
        "score": 64
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json",
      "live": {
        "slug": "mem0",
        "probe": {
          "target": "https://api.mem0.ai",
          "method": "get",
          "lastAt": "2026-10-19T09:29:14.328792758Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 429,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 455,
          "p95ms24h": 529,
          "samples24h": 256,
          "samples30d": 4587,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 101,
              "ok": 101
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mem0.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-19T09:03:54.369618996Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mem0ai/mem0",
            "version": "ts-v3.3.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-19T04:02:42.5825123Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.mem0ai/mem0",
            "version": "1.0.0",
            "seenAt": "2026-10-19T07:19:16.50127409Z"
          },
          {
            "registry": "npm",
            "name": "mem0ai",
            "version": "3.3.1",
            "seenAt": "2026-10-19T04:02:40.727794742Z"
          },
          {
            "registry": "pypi",
            "name": "mem0ai",
            "version": "2.2.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-19T04:02:40.609707736Z"
          }
        ],
        "githubStars": 67412,
        "npmWeekly": 92359,
        "pypiWeekly": 605555,
        "securityTxt": {
          "url": "https://mem0.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:53:07.393632364Z"
        },
        "llmsTxt": {
          "url": "https://mem0.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:26.937252905Z"
        },
        "domain": {
          "domain": "mem0.ai",
          "registered": "2024-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai",
          "checkedAt": "2026-10-18T13:27:54.754961682Z"
        },
        "pages": [
          {
            "url": "https://docs.mem0.ai/changelog/platform",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-18T23:28:57.726108747Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "260709ea3b0d"
          },
          {
            "url": "https://mem0.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-18T23:33:35.011446534Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a0e74db1e2b1"
          },
          {
            "url": "https://mem0.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-18T23:33:37.167057887Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6ca47106ef6c"
          },
          {
            "url": "https://mem0.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-18T23:33:39.127059766Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8cbc548b1c9a"
          }
        ],
        "github": {
          "repo": "mem0ai/mem0",
          "checkedAt": "2026-10-19T06:26:53.666850671Z",
          "stars": 67416,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-17T21:06:52Z",
          "openIssues": 401,
          "openPRs": 446,
          "issuesOpened90d": 355,
          "issuesClosed90d": 158,
          "prsMerged90d": 181,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 45,
            "failure": 5,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-14T15:40:12Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 25
          }
        },
        "updatedAt": "2026-10-19T09:29:14.328792758Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "MKSF LTD",
        "b": "Mem0",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.mem0.ai",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "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",
        "name": "Licence"
      },
      {
        "a": "11",
        "b": "11",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.mem0ai/mem0",
        "name": "MCP registry"
      },
      {
        "a": "2026-06-29",
        "b": "2026-09-25",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "31k stars",
        "b": "66k stars, 168k npm/wk, 502k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Mem0 Platform + MCP scores 56.1 (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 reliability.",
        "question": "Which is better for AI agents, Context Mode Engine or Mem0 Platform + MCP?"
      },
      {
        "answer": "Context Mode Engine needs no key. Mem0 Platform + MCP needs an API key.",
        "question": "Do Context Mode Engine and Mem0 Platform + MCP need an API key?"
      },
      {
        "answer": "Context Mode Engine runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.",
        "question": "Can an agent call Context Mode Engine and Mem0 Platform + MCP without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Context Mode Engine. Mem0 Platform + MCP is open source (Apache-2.0).",
        "question": "Are Context Mode Engine and Mem0 Platform + MCP open source?"
      }
    ],
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        "aheadOn": [
          "Reliability, 45 against 30"
        ],
        "also": [
          "No key needed to call it",
          "Runs on your own machine",
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
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        "slug": "context-mode",
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          "Transparency \u0026 trust, 60 against 42"
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        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json",
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    "scores": [
      {
        "by": 15,
        "context-mode": 45,
        "edge": "context-mode",
        "key": "reliability",
        "mem0": 30,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 15,
        "context-mode": 65,
        "edge": "mem0",
        "key": "schema",
        "mem0": 80,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 2,
        "context-mode": 65,
        "edge": "context-mode",
        "key": "ergonomics",
        "mem0": 63,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 10,
        "context-mode": 35,
        "edge": "mem0",
        "key": "security",
        "mem0": 45,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 10,
        "context-mode": 40,
        "edge": "mem0",
        "key": "payments",
        "mem0": 50,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 75,
        "context-mode": 10,
        "edge": "mem0",
        "key": "maintenance",
        "mem0": 85,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 18,
        "context-mode": 42,
        "edge": "mem0",
        "key": "transparency",
        "mem0": 60,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Mem0 Platform + MCP scores 56.1 (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 reliability. Both do memory search.",
    "tutorials": [],
    "verdicts": {
      "context-mode": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.",
      "mem0": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026."
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  "markdown": "Mem0 Platform + MCP scores 56.1 (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 reliability. 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- Mem0 Platform + MCP: grade C, 56.1/100, rank #721 of 1171. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 103 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Context Mode Engine (E)\n\nGood for: Context Mode Engine indexes tool output and session events locally for coding agents.\n\nAhead on:\n- Reliability, 45 against 30\n\nAlso in its favour:\n- No key needed to call it\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### Mem0 Platform + MCP (C)\n\nGood for: Chat products that want per-user facts back with one search call and little setup.\n\nAhead on:\n- Schema \u0026 documentation, 80 against 65\n- Security \u0026 auth, 45 against 35\n- Payments \u0026 pricing, 50 against 40\n- Maintenance \u0026 community, 85 against 10\n- Transparency \u0026 trust, 60 against 42\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n- Open source\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n\n## Score by category\n\n| Category | Weight | Context Mode Engine | Mem0 Platform + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 30 | Context Mode Engine +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 80 | Mem0 Platform + MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 63 | Context Mode Engine +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 45 | Mem0 Platform + MCP +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 50 | Mem0 Platform + MCP +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 10 | 85 | Mem0 Platform + MCP +75 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 42 | 60 | Mem0 Platform + MCP +18 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **45.8 · E** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | Mem0 Platform + MCP |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | MKSF LTD | Mem0 |\n| Hosted endpoint | no (local only) | `https://api.mem0.ai` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | None | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Elastic License 2.0, source available with restrictions on hosted or managed services. | Apache-2.0 |\n| Tools exposed | 11 | 11 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.mem0ai/mem0` |\n| Last release | 2026-06-29 | 2026-09-25 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 31k stars | 66k stars, 168k npm/wk, 502k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 2.5/5 (2) |\n\n## Verdicts\n\n**Context Mode Engine.** Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.\n\n**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.\n\n## Before you call either\n\n### 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### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users\n4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches\n5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size\n\n## Questions\n\n### Which is better for AI agents, Context Mode Engine or Mem0 Platform + MCP?\n\nMem0 Platform + MCP scores 56.1 (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 reliability.\n\n### Do Context Mode Engine and Mem0 Platform + MCP need an API key?\n\nContext Mode Engine needs no key. Mem0 Platform + MCP needs an API key.\n\n### Can an agent call Context Mode Engine and Mem0 Platform + MCP without installing anything?\n\nContext Mode Engine runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.\n\n### Are Context Mode Engine and Mem0 Platform + MCP open source?\n\nNo open-source release is listed for Context Mode Engine. Mem0 Platform + MCP is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/context-mode-vs-mem0.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-mem0.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"mem0\"}`. From a terminal: `anchor compare context-mode mem0`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/mem0.json\n\n## Other comparisons with Context Mode Engine or Mem0 Platform + MCP\n\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Hy Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-mem0.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [Amazon Bedrock AgentCore Memory vs 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 Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.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 Hy Memory](https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.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 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 Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n",
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