{
  "schema_version": "openagent.resource.v1",
  "id": "res_memori",
  "slug": "memori",
  "status": "published",
  "identity": {
    "name": "Memori",
    "one_liner": "Open-source memory engine for LLM apps and agents that need persistent context injection.",
    "short_description": "Memori is an open-source memory engine from GibsonAI for giving LLM applications and agents persistent memory, context injection, and configurable recall behavior."
  },
  "classification": {
    "resource_type": "memory_system",
    "primary_category": "memory-systems",
    "subcategories": [
      "memory",
      "context-retrieval",
      "state-management",
      "self-hosted",
      "api"
    ]
  },
  "positioning": {
    "why_it_matters": "Memori matters because many agent products need a practical memory engine before they need a full agent framework. It gives teams a focused way to add durable context to conversations and workflows.",
    "best_for": [
      "Developers adding memory to LLM applications",
      "Teams that want a Python-friendly memory engine",
      "Builders comparing Mem0, Letta, and lighter memory libraries"
    ],
    "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": "GibsonAI/memori",
    "last_verified_at": "2026-04-19"
  },
  "capabilities": {
    "core_capabilities": [
      "memory",
      "context-retrieval",
      "state-management"
    ],
    "interfaces": [
      "repo",
      "docs"
    ]
  },
  "links": {
    "primary_url": "https://github.com/GibsonAI/memori",
    "items": [
      {
        "type": "github",
        "label": "GitHub",
        "url": "https://github.com/GibsonAI/memori"
      },
      {
        "type": "homepage",
        "label": "Homepage",
        "url": "https://gibsonai.github.io/memori/"
      },
      {
        "type": "docs",
        "label": "Docs",
        "url": "https://gibsonai.github.io/memori/core-concepts/overview/"
      }
    ]
  },
  "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": "Memori",
      "subtitle": "Open-source memory engine for LLM apps and agents that need persistent context injection.",
      "avoid": [
        "busy benchmark poster",
        "unverified logos",
        "marketing-heavy screenshots"
      ]
    }
  },
  "tags": {
    "category": [
      "memory-system",
      "open-source"
    ],
    "capability": [
      "memory",
      "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/memori",
    "json_url": "https://www.openagent.bot/memory-systems/memori.json",
    "markdown_url": "https://www.openagent.bot/memory-systems/memori.md"
  },
  "seo": {
    "title": "Memori: Memory Systems resource for open AI builders",
    "description": "Memori 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": "Focused memory engine",
        "description": "Memori centers on memory behavior rather than broad workflow orchestration.",
        "why_it_matters": "A focused engine is easier to embed into existing applications."
      },
      {
        "title": "Persistent context injection",
        "description": "The docs describe memory concepts for injecting relevant context into interactions.",
        "why_it_matters": "Agents become more useful when recall happens at the right moment."
      },
      {
        "title": "Apache-2.0 open-source release",
        "description": "Public materials describe Memori as Apache-2.0 open source.",
        "why_it_matters": "Permissive licensing helps teams experiment without early legal friction."
      }
    ],
    "use_case_notes": [
      {
        "title": "Conversational memory",
        "description": "Remember preferences and prior facts across user conversations."
      },
      {
        "title": "Agent task context",
        "description": "Inject previous task details when an agent resumes work."
      },
      {
        "title": "Memory library evaluation",
        "description": "Compare a focused memory engine against heavier agent platforms."
      }
    ],
    "compare_notes": [
      {
        "title": "Memori is a lighter memory layer",
        "summary": "Use Memori when you want memory inside an existing app rather than adopting a whole agent runtime.",
        "against": "full agent platforms"
      }
    ],
    "getting_started": [
      {
        "label": "Review the GitHub repository",
        "url": "https://github.com/GibsonAI/memori",
        "type": "github"
      },
      {
        "label": "Official source",
        "url": "https://gibsonai.github.io/memori/core-concepts/overview/",
        "type": "homepage"
      },
      {
        "label": "Official source",
        "url": "https://gibsonai.github.io/memori/",
        "type": "homepage"
      }
    ],
    "command_line": [
      {
        "label": "Clone Memori",
        "command": "git clone https://github.com/GibsonAI/memori.git",
        "description": "Use the official docs to confirm the current Python package and configuration before production use."
      }
    ],
    "seo_article": {
      "intro": "Memori is an open-source memory engine from GibsonAI for giving LLM applications and agents persistent memory, context injection, and configurable recall behavior.",
      "what_it_is": "Memori 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": "Memori matters because many agent products need a practical memory engine before they need a full agent framework. It gives teams a focused way to add durable context to conversations and workflows.",
      "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": "Conversational memory",
          "description": "Remember preferences and prior facts across user conversations."
        },
        {
          "title": "Agent task context",
          "description": "Inject previous task details when an agent resumes work."
        },
        {
          "title": "Memory library evaluation",
          "description": "Compare a focused memory engine against heavier agent platforms."
        }
      ],
      "alternatives": [
        {
          "title": "Memori is a lighter memory layer",
          "summary": "Use Memori when you want memory inside an existing app rather than adopting a whole agent runtime.",
          "against": "full agent platforms"
        }
      ],
      "getting_started": [
        {
          "label": "Review the GitHub repository",
          "url": "https://github.com/GibsonAI/memori",
          "type": "github"
        },
        {
          "label": "Official source",
          "url": "https://gibsonai.github.io/memori/core-concepts/overview/",
          "type": "homepage"
        },
        {
          "label": "Official source",
          "url": "https://gibsonai.github.io/memori/",
          "type": "homepage"
        }
      ],
      "faq": [
        {
          "question": "Is Memori open source?",
          "answer": "Memori 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 Memori?",
          "answer": "Developers adding memory to LLM applications"
        }
      ]
    }
  },
  "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"
  }
}