{
  "schema_version": "openagent.resource.v1",
  "id": "res_cognee",
  "slug": "cognee",
  "status": "published",
  "identity": {
    "name": "Cognee",
    "one_liner": "Open-source memory and data infrastructure for AI applications that need reliable context.",
    "short_description": "Cognee is an open-source memory and data layer for AI applications, focused on turning data into structured, retrievable context for agents and LLM systems."
  },
  "classification": {
    "resource_type": "memory_system",
    "primary_category": "memory-systems",
    "subcategories": [
      "memory",
      "rag",
      "context-retrieval",
      "state-management",
      "self-hosted"
    ]
  },
  "positioning": {
    "why_it_matters": "Cognee matters because teams quickly outgrow raw prompts and scattered documents. AI applications need a way to prepare, connect, and retrieve context in a structured way.",
    "best_for": [
      "Builders creating AI apps over messy data sources",
      "Teams that need memory plus retrieval infrastructure",
      "Developers comparing RAG, graph, and context-engineering approaches"
    ],
    "not_for": [
      "Users who want a fully managed consumer product with no setup work",
      "Teams that cannot review the linked source, license, and operational requirements before adoption"
    ],
    "use_cases": [
      "self-hosted-ai",
      "personal-memory"
    ],
    "target_audience": [
      "developer",
      "agent_builder"
    ],
    "maturity": "active"
  },
  "decision_signals": {
    "deployment_modes": [
      "self_hosted",
      "cloud"
    ],
    "open_source": true,
    "local_first": false,
    "self_hostable": true,
    "has_api": true,
    "has_gui": false,
    "supports_mcp": false,
    "supports_docker": false
  },
  "facts": {
    "license": "Apache-2.0",
    "pricing_model": "open_source",
    "github_repo_full_name": "topoteretes/cognee",
    "last_verified_at": "2026-04-19"
  },
  "capabilities": {
    "core_capabilities": [
      "memory",
      "rag",
      "context-retrieval",
      "state-management"
    ],
    "interfaces": [
      "repo",
      "docs"
    ]
  },
  "links": {
    "primary_url": "https://github.com/topoteretes/cognee",
    "items": [
      {
        "type": "github",
        "label": "GitHub",
        "url": "https://github.com/topoteretes/cognee"
      },
      {
        "type": "homepage",
        "label": "Homepage",
        "url": "https://www.cognee.ai/"
      },
      {
        "type": "docs",
        "label": "Docs",
        "url": "https://docs.cognee.ai/"
      }
    ]
  },
  "media": {
    "thumbnail_brief": {
      "resource_type": "memory_system",
      "visual_motif": "clean technical blocks with a small source-link motif",
      "background_style": "minimal App Store editorial card using restrained open-source accents",
      "title_overlay": "Cognee",
      "subtitle": "Open-source memory and data infrastructure for AI applications that need reliable context.",
      "avoid": [
        "busy benchmark poster",
        "unverified logos",
        "marketing-heavy screenshots"
      ]
    }
  },
  "tags": {
    "category": [
      "memory-system",
      "open-source"
    ],
    "capability": [
      "memory",
      "rag",
      "context-retrieval",
      "state-management"
    ],
    "constraint": [
      "open-source",
      "self-hosted"
    ],
    "scenario": [
      "self-hosted-ai",
      "personal-memory"
    ]
  },
  "relationships": {},
  "machine_readable": {
    "canonical_url": "https://www.openagent.bot/memory-systems/cognee",
    "json_url": "https://www.openagent.bot/memory-systems/cognee.json",
    "markdown_url": "https://www.openagent.bot/memory-systems/cognee.md"
  },
  "seo": {
    "title": "Cognee: Memory Systems resource for open AI builders",
    "description": "Cognee profile on OpenAgent.bot: what it is, when to use it, official links, open-source status, and structured resource data."
  },
  "editorial": {
    "trust_note": "Verified from source links and project metadata.",
    "core_strengths": [
      {
        "title": "Data-to-memory pipeline",
        "description": "Cognee focuses on transforming input data into usable memory and context.",
        "why_it_matters": "AI apps fail when the context layer is improvised."
      },
      {
        "title": "Open-source context infrastructure",
        "description": "The project gives builders a repository and docs for evaluation.",
        "why_it_matters": "Context infrastructure needs inspectability and deployment control."
      },
      {
        "title": "Useful for agent apps",
        "description": "Structured context can support agents that need to retrieve and reason over data.",
        "why_it_matters": "Agents need grounded context to avoid acting on stale or missing information."
      }
    ],
    "use_case_notes": [
      {
        "title": "Knowledge ingestion",
        "description": "Prepare documents, records, or project data for AI workflows."
      },
      {
        "title": "Agent memory layer",
        "description": "Use it as a context layer that agents can retrieve from during tasks."
      },
      {
        "title": "Internal AI apps",
        "description": "Build assistants that answer with company or project-specific context."
      }
    ],
    "compare_notes": [
      {
        "title": "Cognee fits context engineering",
        "summary": "A document loader moves data; Cognee is closer to an infrastructure layer for preparing and retrieving AI context.",
        "against": "plain document loaders"
      }
    ],
    "getting_started": [
      {
        "label": "Review the GitHub repository",
        "url": "https://github.com/topoteretes/cognee",
        "type": "github"
      },
      {
        "label": "Read the documentation",
        "url": "https://docs.cognee.ai/",
        "type": "docs"
      },
      {
        "label": "Official source",
        "url": "https://www.cognee.ai/",
        "type": "homepage"
      }
    ],
    "command_line": [
      {
        "label": "Install Cognee",
        "command": "pip install cognee",
        "description": "Check the docs for storage, graph, and provider options."
      }
    ],
    "seo_article": {
      "intro": "Cognee is an open-source memory and data layer for AI applications, focused on turning data into structured, retrievable context for agents and LLM systems.",
      "what_it_is": "Cognee is an open AI memory systems resource tracked by OpenAgent.bot because it gives builders a concrete implementation path rather than just a product claim.",
      "why_it_matters": "Cognee matters because teams quickly outgrow raw prompts and scattered documents. AI applications need a way to prepare, connect, and retrieve context in a structured way.",
      "how_it_works": "Start from the official repository or documentation, verify the license and runtime requirements, then test it on a narrow workflow before expanding it into production use.",
      "use_cases": [
        {
          "title": "Knowledge ingestion",
          "description": "Prepare documents, records, or project data for AI workflows."
        },
        {
          "title": "Agent memory layer",
          "description": "Use it as a context layer that agents can retrieve from during tasks."
        },
        {
          "title": "Internal AI apps",
          "description": "Build assistants that answer with company or project-specific context."
        }
      ],
      "alternatives": [
        {
          "title": "Cognee fits context engineering",
          "summary": "A document loader moves data; Cognee is closer to an infrastructure layer for preparing and retrieving AI context.",
          "against": "plain document loaders"
        }
      ],
      "getting_started": [
        {
          "label": "Review the GitHub repository",
          "url": "https://github.com/topoteretes/cognee",
          "type": "github"
        },
        {
          "label": "Read the documentation",
          "url": "https://docs.cognee.ai/",
          "type": "docs"
        },
        {
          "label": "Official source",
          "url": "https://www.cognee.ai/",
          "type": "homepage"
        }
      ],
      "faq": [
        {
          "question": "Is Cognee open source?",
          "answer": "Cognee is listed with Apache-2.0 based on its official source links. Always re-check the repository or model card before production use."
        },
        {
          "question": "Who should evaluate Cognee?",
          "answer": "Builders creating AI apps over messy data sources"
        }
      ]
    }
  },
  "timestamps": {
    "created_at": "2026-04-19T00:00:00.000Z",
    "updated_at": "2026-04-19T00:00:00.000Z",
    "published_at": "2026-04-19T00:00:00.000Z"
  }
}