{
  "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": "graphiti",
      "name": "Graphiti",
      "vendor": "Zep",
      "vendorUrl": "https://www.getzep.com",
      "kind": "framework",
      "category": "agent-memory",
      "summary": "Open-source Python framework from Zep that builds a temporal knowledge graph from chat messages, text and JSON.",
      "url": "https://www.anchorterminal.com/tools/graphiti",
      "markdownUrl": "https://www.anchorterminal.com/tools/graphiti.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphiti.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphiti.json",
      "repo": "https://github.com/getzep/graphiti",
      "license": "Apache-2.0",
      "transports": [
        "streamable-http",
        "stdio"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "graphiti-core"
        }
      ],
      "auth": "none",
      "authNotes": "Runs on your own machine. You supply an LLM key (OPENAI_API_KEY by default) and database settings such as FALKORDB_URI or NEO4J_URI, NEO4J_USER and NEO4J_PASSWORD.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0. You pay for the LLM and embedding calls it makes on every ingest and for running the graph database (https://github.com/getzep/graphiti). Zep sells a hosted memory service from the same team (https://www.getzep.com/pricing/).",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 13,
      "popularity": {
        "githubStars": 29000,
        "npmWeekly": null,
        "pypiWeekly": 151251,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://help.getzep.com/graphiti/getting-started/overview",
      "llmsTxt": "https://help.getzep.com/llms.txt",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.delete"
      ],
      "tags": [
        "framework",
        "open-source",
        "self-hosted",
        "local",
        "python",
        "mcp",
        "llms-txt"
      ],
      "lastRelease": "2026-09-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.3,
        "grade": "D",
        "agentReady": false,
        "rank": 333,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 6,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 51,
          "maintenance": 65,
          "payments": 60,
          "reliability": 50,
          "schema": 71,
          "security": 23,
          "transparency": 71
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.",
        "strengths": [
          "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store",
          "13-tool MCP server over streamable HTTP or stdio, with a Docker Compose file",
          "Works with OpenAI, Anthropic, Gemini, Groq or a local OpenAI-compatible model",
          "Telemetry documented, content-free by its own statement, and off with one environment variable",
          "Three PyPI releases between 27 July and 8 September 2026"
        ],
        "weaknesses": [
          "Every add runs LLM extraction, so ingestion costs tokens and time",
          "The MCP HTTP endpoint has no authentication, and no tool carries readOnlyHint or destructiveHint",
          "Still 0.x, and the last three PyPI releases have no GitHub release notes",
          "255 open issues, including a broken MCP Docker build reported in July 2026",
          "No official entry in the MCP registry"
        ],
        "agentNotes": [
          "Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server",
          "Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes",
          "Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge",
          "Pass group_ids on every search and add so one user's graph doesn't leak into another's",
          "Call get_status to check the database connection before a long ingest"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 53.3
          }
        ],
        "editorialScores": {
          "ergonomics": 51,
          "maintenance": 65,
          "payments": 60,
          "reliability": 50,
          "schema": 71,
          "security": 23,
          "transparency": 78
        },
        "provenanceScore": 63
      },
      "connect": {
        "install": "pip install graphiti-core   # or: pip install graphiti-core[falkordb]",
        "claudeCode": "claude mcp add --transport http graphiti http://localhost:8000/mcp/",
        "config": {
          "mcpServers": {
            "graphiti": {
              "type": "http",
              "url": "http://localhost:8000/mcp/"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/graphiti"
      },
      "sameCompany": [
        "zep"
      ],
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "Zep Software, Inc.",
        "domain": "getzep.com",
        "domainRegistered": "2023-05-08",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/getzep/graphiti/releases",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "A library and local server, so there's no hosted endpoint. Zep Software, Inc. owns the repository and publishes its docs on help.getzep.com."
        ],
        "score": 63
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/graphiti.json",
      "live": {
        "slug": "graphiti",
        "versions": [
          {
            "registry": "github",
            "name": "getzep/graphiti",
            "version": "v0.30.2",
            "released": "2026-09-08",
            "seenAt": "2026-10-04T16:29:13.398654956Z"
          },
          {
            "registry": "pypi",
            "name": "graphiti-core",
            "version": "0.30.2",
            "released": "2026-09-08",
            "seenAt": "2026-10-04T16:29:13.214213248Z"
          }
        ],
        "githubStars": 31430,
        "pypiWeekly": 142231,
        "securityTxt": {
          "url": "https://getzep.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:52.364915515Z"
        },
        "llmsTxt": {
          "url": "https://help.getzep.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:51.568653025Z"
        },
        "domain": {
          "domain": "getzep.com",
          "registered": "2023-05-08",
          "source": "https://rdap.verisign.com/com/v1/domain/getzep.com",
          "checkedAt": "2026-10-04T13:03:48.930668589Z"
        },
        "pages": [
          {
            "url": "https://www.getzep.com/pricing/",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:50:33.53600163Z",
            "changedAt": "2026-10-03T15:38:25.165141175Z",
            "fingerprint": "6ec6dab9051f"
          }
        ],
        "updatedAt": "2026-10-04T16:29:13.398654956Z"
      }
    },
    "summary": "Cognee has a score of 54.6 (C) against Graphiti's 53.3 (D). Both do memory store. The largest gap is payments \u0026 pricing, 25 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/cognee-vs-graphiti",
    "json": "https://www.anchorterminal.com/compare/cognee-vs-graphiti.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/cognee-vs-graphiti.md",
    "slim": "https://www.anchorterminal.com/compare/cognee-vs-graphiti.min.md"
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  "markdown": "Cognee has a score of 54.6 (C) against Graphiti's 53.3 (D). Both do memory store. The largest gap is payments \u0026 pricing, 25 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- Graphiti: grade D, 53.3/100, rank #333 of 452. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.json\n\n## Which one, for what\n\nPick Cognee for schema \u0026 documentation (+14), agent ergonomics (+8), security \u0026 auth (+16), maintenance \u0026 community (+17).\n\nPick Graphiti for payments \u0026 pricing (+25).\n\n## Score by category\n\n| Category | Weight | Cognee | Graphiti | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 50 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 71 | Cognee +14 |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 51 | Cognee +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 39 | 23 | Cognee +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 60 | Graphiti +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 65 | Cognee +17 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 71 | Graphiti +4 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **54.6 · C** | **53.3 · D** | |\n\n## Facts side by side\n\n| Fact | Cognee | Graphiti |\n| --- | --- | --- |\n| Kind | Model platform | Agent framework |\n| Vendor | Cognee | Zep |\n| Hosted endpoint | `https://\u003ctenant\u003e.aws.cognee.ai/api/v1` | no (local only) |\n| Transports | HTTP, stdio, SSE (legacy) | Streamable HTTP, stdio |\n| Auth | OAuth or key | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 7 | 13 |\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 | not listed |\n| Last release | 2026-09-29 | 2026-09-08 |\n| Popularity | 31k stars, 21k PyPI/wk | 29k stars, 151k 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**Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.\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### Graphiti\n\n1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server\n2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes\n3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge\n4. Pass group_ids on every search and add so one user's graph doesn't leak into another's\n5. Call get_status to check the database connection before a long ingest\n\n## Other comparisons with Cognee or Graphiti\n\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 Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.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 Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md)\n",
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    "description": "Cognee has a score of 54.6 (C) against Graphiti's 53.3 (D). Both do memory store. The largest gap is payments \u0026 pricing, 25 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Cognee vs Graphiti for AI agents, C 54.6 vs D 53.3 | Anchor Terminal",
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