{
  "data": {
    "a": {
      "slug": "cognee",
      "name": "Cognee",
      "vendor": "Cognee",
      "vendorUrl": "https://www.cognee.ai",
      "kind": "platform",
      "category": "agent-memory",
      "summary": "Open-source memory engine that turns documents, conversations and synced sources into a knowledge graph plus a vector index and answers queries over both.",
      "url": "https://www.anchorterminal.com/tools/cognee",
      "markdownUrl": "https://www.anchorterminal.com/tools/cognee.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cognee.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cognee.json",
      "repo": "https://github.com/topoteretes/cognee",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "stdio",
        "sse"
      ],
      "remoteUrl": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "cognee"
        },
        {
          "registry": "oci",
          "name": "cognee/cognee-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Cognee Cloud takes an `X-Api-Key` header on a per-tenant host, and keys can be rotated. A local Docker server runs without auth unless you turn it on, then takes a Bearer token. Since 1.6.0 (18 September 2026) the library builds and searches text memory with local models and no LLM key, and LLM-dependent stages skip when none is set. Set `LLM_API_KEY` for the full pipeline with a hosted model. Cognee MCP and Cognee Cloud are separate systems with different auth.",
      "pricing": "freemium",
      "pricingNotes": "Cognee Cloud Free is $0 with 1 million tokens included, 1 workspace, unlimited users and API calls, and no card. Standard is $1 per million tokens processed plus $5 a month for each extra workspace, and adds Slack, Notion, Linear and Google Drive sources. Enterprise is quoted, with bring-your-own-cloud (https://www.cognee.ai/pricing). The billing docs still show older plans (Hobby with 10 million tokens, Growth at $5 a tenant, Enterprise at $2,916 a month), which disagree with the pricing page. Credit is prepaid from $0.50, with optional auto-recharge (https://docs.cognee.ai/cognee-cloud/functionality/account-and-billing). The open-source library is free to run yourself.",
      "priceSummary": "$5 / mo",
      "where": "both",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 7,
      "popularity": {
        "githubStars": 31200,
        "npmWeekly": null,
        "pypiWeekly": 20830,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.cognee.ai",
      "llmsTxt": "https://docs.cognee.ai/llms.txt",
      "openapi": "https://docs.cognee.ai/cognee_openapi_spec.json",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.delete"
      ],
      "tags": [
        "open-source",
        "self-hosted",
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "llms-txt",
        "python",
        "eu"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 54.6,
        "grade": "C",
        "agentReady": false,
        "rank": 320,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 59,
          "maintenance": 82,
          "payments": 35,
          "reliability": 50,
          "schema": 85,
          "security": 39,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-05-01: a commit titled as a fix removed 11 MCP tools, including cognify, search, delete and prune, with cognee-mcp at 0.5.4 before and after, and the README the day before listed them as \"still available\" with no deprecation note. The replacements remember, recall and forget had shipped on 10 April and the tools reference now lists what went, so we deduct at the low end (https://github.com/topoteretes/cognee/commit/b52fcc335f6bfc090d1c892afa9c4e81909336fe)"
        ],
        "verdict": "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.",
        "strengths": [
          "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0",
          "7-tool MCP server with search_tools and call_tool for reaching the rest on demand",
          "Public OpenAPI 3.1 file with 46 paths and error models",
          "Metered Cloud at $1 per million tokens, 1 million free with no card",
          "Eight stable PyPI releases from 15 August to 29 September 2026, with CI passing on main"
        ],
        "weaknesses": [
          "No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region",
          "Cloud calls hung rather than failing when a tenant ran out of credit (August 2026), and the issue is still open",
          "Billing docs and pricing page disagree on plans and the free allowance",
          "Library telemetry is on by default and sends a persistent machine ID and an ID derived from the LLM key",
          "11 MCP tools were removed in May 2026 without a version bump or notice"
        ],
        "agentNotes": [
          "Use remember, recall and forget. The older cognify, search and delete MCP tools are gone",
          "Always include /api/v1 in REST paths",
          "Check cognify_status before querying data you added with background=true",
          "Never pass everything=true to forget unless you mean to wipe all of the user's memory",
          "Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 54.6
          }
        ],
        "editorialScores": {
          "ergonomics": 59,
          "maintenance": 82,
          "payments": 35,
          "reliability": 50,
          "schema": 85,
          "security": 39,
          "transparency": 69
        },
        "provenanceScore": 65
      },
      "connect": {
        "install": "pip install cognee",
        "http": "# COGNEE_URL is your tenant host, e.g. https://\u003ctenant\u003e.aws.cognee.ai\ncurl -X POST \"$COGNEE_URL/api/v1/search\" -H \"X-Api-Key: $COGNEE_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"What does the user prefer?\"}'",
        "claudeCode": "docker run -d -e TRANSPORT_MODE=http -e LLM_API_KEY=$LLM_API_KEY -p 8000:8000 cognee/cognee-mcp:main\nclaude mcp add --transport http cognee http://localhost:8000/mcp",
        "config": {
          "mcpServers": {
            "cognee": {
              "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "LLM_API_KEY",
                "cognee/cognee-mcp:main"
              ],
              "command": "docker",
              "env": {
                "LLM_API_KEY": "${LLM_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/cognee"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Standard token processing",
          "unit": "1m-tokens",
          "usd": 1,
          "note": "1 million tokens free"
        },
        {
          "item": "Extra workspace",
          "unit": "month",
          "usd": 5
        }
      ],
      "provenance": {
        "legalEntity": "Topoteretes UG (haftungsbeschränkt)",
        "domain": "cognee.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.cognee.ai/gtc-eu",
        "privacy": "https://www.cognee.ai/privacy-notice",
        "statusPage": "",
        "changelog": "https://github.com/topoteretes/cognee/releases",
        "securityTxt": "none",
        "checked": "2026-10-02",
        "notes": [
          "The general terms, updated 27 March 2026, name Topoteretes UG (haftungsbeschränkt), Amtsgericht Charlottenburg HRB 252065 B, Paul-Lincke-Ufer 39-40, 10999 Berlin, under German law.",
          "www.cognee.ai/.well-known/security.txt returns 404, and we found no status page.",
          "The privacy notice, current version 20 September 2026, says Cognee Cloud is operated by Cognee Inc. and hosted in AWS us-east-1, while the general terms name Topoteretes UG in Berlin. SECURITY.md in the repository sends reports to security@cognee.ai."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cognee.json",
      "live": {
        "slug": "cognee",
        "probe": {
          "target": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1",
          "method": "get",
          "lastAt": "2026-10-05T01:43:35.598577464Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "DNS lookup failed",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 272,
          "samples30d": 920,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 0
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 0
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 0
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 0
            },
            {
              "date": "2026-10-05",
              "probes": 20,
              "ok": 0
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "topoteretes/cognee",
            "version": "v1.6.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:24:05.468766325Z"
          },
          {
            "registry": "pypi",
            "name": "cognee",
            "version": "1.6.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:24:05.282815483Z"
          }
        ],
        "githubStars": 31352,
        "pypiWeekly": 22752,
        "securityTxt": {
          "url": "https://cognee.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:50.060532442Z"
        },
        "llmsTxt": {
          "url": "https://docs.cognee.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:26.553412423Z"
        },
        "domain": {
          "domain": "cognee.ai",
          "registered": "2023-12-21",
          "source": "https://rdap.identitydigital.services/rdap/domain/cognee.ai",
          "checkedAt": "2026-10-04T13:09:11.691283649Z"
        },
        "pages": [
          {
            "url": "https://www.cognee.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:51.729470579Z",
            "changedAt": "2026-10-04T15:49:51.729470579Z",
            "fingerprint": "d56cccad38df"
          },
          {
            "url": "https://www.cognee.ai/privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:53.709284309Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "c5fb8fa4d461"
          },
          {
            "url": "https://www.cognee.ai/gtc-eu",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:49:49.609263653Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9bd64eccc606"
          }
        ],
        "updatedAt": "2026-10-05T01:43:35.598577464Z"
      }
    },
    "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": 56.6,
        "grade": "C",
        "agentReady": false,
        "rank": 301,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 4,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 66
        },
        "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.",
        "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": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.6
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 56
        },
        "provenanceScore": 75
      },
      "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": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json",
      "live": {
        "slug": "mem0",
        "probe": {
          "target": "https://api.mem0.ai",
          "method": "get",
          "lastAt": "2026-10-05T01:43:40.990073044Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 475,
          "authRequired": false,
          "uptime24h": 100,
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          "p50ms24h": 447,
          "p95ms24h": 485,
          "samples24h": 272,
          "samples30d": 920,
          "days": [
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              "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": 20,
              "ok": 20
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mem0.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:14.779830933Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mem0ai/mem0",
            "version": "ts-v3.3.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-04T16:32:45.326482651Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.mem0ai/mem0",
            "version": "1.0.0",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "mem0ai",
            "version": "3.3.1",
            "seenAt": "2026-10-04T16:32:44.420534398Z"
          },
          {
            "registry": "pypi",
            "name": "mem0ai",
            "version": "2.2.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-04T16:32:44.229639741Z"
          }
        ],
        "githubStars": 66563,
        "npmWeekly": 194539,
        "pypiWeekly": 499479,
        "securityTxt": {
          "url": "https://mem0.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.268311293Z"
        },
        "llmsTxt": {
          "url": "https://mem0.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:58.107208079Z"
        },
        "domain": {
          "domain": "mem0.ai",
          "registered": "2024-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai",
          "checkedAt": "2026-10-04T13:05:24.712383123Z"
        },
        "pages": [
          {
            "url": "https://docs.mem0.ai/changelog/platform",
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  "markdown": "Mem0 Platform + MCP has a score of 56.6 (C) against Cognee's 54.6 (C). Both do memory store. The largest gap is reliability, 20 points.\n\n- Cognee: grade C, 54.6/100, rank #320 of 452. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.json\n- Mem0 Platform + MCP: grade C, 56.6/100, rank #301 of 452. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n\n## Which one, for what\n\nPick Cognee for reliability (+20), schema \u0026 documentation (+5).\n\nPick Mem0 Platform + MCP for security \u0026 auth (+6), payments \u0026 pricing (+15).\n\n## Score by category\n\n| Category | Weight | Cognee | Mem0 Platform + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 30 | Cognee +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 80 | Cognee +5 |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 63 | Mem0 Platform + MCP +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 39 | 45 | Mem0 Platform + MCP +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 50 | Mem0 Platform + MCP +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 85 | Mem0 Platform + MCP +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 66 | Cognee +1 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **54.6 · C** | **56.6 · C** | |\n\n## Facts side by side\n\n| Fact | Cognee | Mem0 Platform + MCP |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cognee | Mem0 |\n| Hosted endpoint | `https://\u003ctenant\u003e.aws.cognee.ai/api/v1` | `https://api.mem0.ai` |\n| Transports | HTTP, stdio, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 7 | 11 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.mem0ai/mem0` |\n| Last release | 2026-09-29 | 2026-09-25 |\n| Popularity | 31k stars, 21k PyPI/wk | 66k stars, 168k npm/wk, 502k PyPI/wk |\n| Agent reviews | 3/5 (2) | 2.5/5 (2) |\n\n## Verdicts\n\n**Cognee.** Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.\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### Cognee\n\n1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone\n2. Always include /api/v1 in REST paths\n3. Check cognify_status before querying data you added with background=true\n4. Never pass everything=true to forget unless you mean to wipe all of the user's memory\n5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs\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## Other comparisons with Cognee or Mem0 Platform + MCP\n\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md)\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Cognee vs LocalGhost](https://www.anchorterminal.com/compare/cognee-vs-localghost.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.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- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.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",
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