{
  "schemaVersion": "1.0",
  "item": {
    "slug": "openclaw-mem0",
    "name": "Openclaw Mem0",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/xRay2016/openclaw-mem0",
    "canonicalUrl": "https://clawhub.ai/xRay2016/openclaw-mem0",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/openclaw-mem0",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-mem0",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "README_zh.md",
      "SKILL.md",
      "clawdbot.plugin.json",
      "index.ts",
      "lib/mem0.ts"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/openclaw-mem0"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/openclaw-mem0",
    "agentPageUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "OpenClaw Mem0 Plugin",
        "body": "Mem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically."
      },
      {
        "title": "When to use",
        "body": "You want your agent to remember user details (name, job, preferences) across sessions\nYou need \"infinite context\" by retrieving relevant past interactions\nYou want to build a personalized assistant that learns over time\nYou need both cloud (managed) and self-hosted (local) memory options"
      },
      {
        "title": "Platform Mode (Recommended)",
        "body": "Get a free API key at mem0.ai\nAdd to your OpenClaw config:\n\n{\n  \"plugins\": {\n    \"entries\": {\n      \"openclaw-mem0\": {\n        \"enabled\": true,\n        \"config\": {\n          \"mode\": \"platform\",\n          \"apiKey\": \"your-mem0-api-key\",\n          \"userId\": \"default-user\"\n        }\n      }\n    }\n  }\n}"
      },
      {
        "title": "Open-Source Mode (Self-Hosted)",
        "body": "Connect to your own Mem0 instance (requires mem0ai package installed):\n\n{\n  \"plugins\": {\n    \"entries\": {\n      \"openclaw-mem0\": {\n        \"enabled\": true,\n        \"config\": {\n          \"mode\": \"open-source\",\n          \"oss\": {\n            \"vectorStore\": {\n              \"provider\": \"chroma\",\n              \"config\": {\n                \"collectionName\": \"memories\",\n                \"path\": \"./chroma_db\"\n              }\n            }\n          }\n        }\n      }\n    }\n  }\n}"
      },
      {
        "title": "Usage",
        "body": "This plugin works automatically (Zero-Shot) but also provides manual tools."
      },
      {
        "title": "Automatic Features",
        "body": "Auto-Recall: Before every agent turn, it searches memory for relevant context and injects it into the system prompt.\nAuto-Capture: After every agent turn, it analyzes the conversation and stores key facts into memory."
      },
      {
        "title": "Manual Tools",
        "body": "The agent can proactively call these tools:\n\nToolDescriptionParametersmemory_storeExplicitly save a facttext (string), longTerm (bool)memory_searchSearch memoriesquery (string), scope (\"session\"|\"long-term\")memory_getGet memory by IDmemoryId (string)memory_listList all memoriesuserId (string)memory_forgetDelete a memorymemoryId (string) or query (string)"
      },
      {
        "title": "Example",
        "body": "User: \"I'm moving to Tokyo next month.\"\nAgent automatically captures this fact.\n\n(Two weeks later)\nUser: \"What's a good restaurant for my farewell dinner?\"\nAgent automatically recalls \"User is moving to Tokyo\" and suggests a restaurant in their current city."
      },
      {
        "title": "Plugin structure",
        "body": "openclaw-mem0/\n  package.json            # NPM package config (@xray2016/openclaw-mem0)\n  index.ts                # Plugin implementation & tools\n  lib/                    # Internal Mem0 client implementation\n  SKILL.md                # This file\n  README.md               # Detailed documentation"
      },
      {
        "title": "Author",
        "body": "Maintained by @xRay2016. Modified from the original Mem0 OpenClaw integration."
      }
    ],
    "body": "OpenClaw Mem0 Plugin\n\nMem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically.\n\nWhen to use\nYou want your agent to remember user details (name, job, preferences) across sessions\nYou need \"infinite context\" by retrieving relevant past interactions\nYou want to build a personalized assistant that learns over time\nYou need both cloud (managed) and self-hosted (local) memory options\nSetup\nPlatform Mode (Recommended)\nGet a free API key at mem0.ai\nAdd to your OpenClaw config:\n{\n  \"plugins\": {\n    \"entries\": {\n      \"openclaw-mem0\": {\n        \"enabled\": true,\n        \"config\": {\n          \"mode\": \"platform\",\n          \"apiKey\": \"your-mem0-api-key\",\n          \"userId\": \"default-user\"\n        }\n      }\n    }\n  }\n}\n\nOpen-Source Mode (Self-Hosted)\n\nConnect to your own Mem0 instance (requires mem0ai package installed):\n\n{\n  \"plugins\": {\n    \"entries\": {\n      \"openclaw-mem0\": {\n        \"enabled\": true,\n        \"config\": {\n          \"mode\": \"open-source\",\n          \"oss\": {\n            \"vectorStore\": {\n              \"provider\": \"chroma\",\n              \"config\": {\n                \"collectionName\": \"memories\",\n                \"path\": \"./chroma_db\"\n              }\n            }\n          }\n        }\n      }\n    }\n  }\n}\n\nUsage\n\nThis plugin works automatically (Zero-Shot) but also provides manual tools.\n\nAutomatic Features\nAuto-Recall: Before every agent turn, it searches memory for relevant context and injects it into the system prompt.\nAuto-Capture: After every agent turn, it analyzes the conversation and stores key facts into memory.\nManual Tools\n\nThe agent can proactively call these tools:\n\nTool\tDescription\tParameters\nmemory_store\tExplicitly save a fact\ttext (string), longTerm (bool)\nmemory_search\tSearch memories\tquery (string), scope (\"session\"|\"long-term\")\nmemory_get\tGet memory by ID\tmemoryId (string)\nmemory_list\tList all memories\tuserId (string)\nmemory_forget\tDelete a memory\tmemoryId (string) or query (string)\nExample\n\nUser: \"I'm moving to Tokyo next month.\" Agent automatically captures this fact.\n\n(Two weeks later) User: \"What's a good restaurant for my farewell dinner?\" Agent automatically recalls \"User is moving to Tokyo\" and suggests a restaurant in their current city.\n\nPlugin structure\nopenclaw-mem0/\n  package.json            # NPM package config (@xray2016/openclaw-mem0)\n  index.ts                # Plugin implementation & tools\n  lib/                    # Internal Mem0 client implementation\n  SKILL.md                # This file\n  README.md               # Detailed documentation\n\nAuthor\n\nMaintained by @xRay2016. Modified from the original Mem0 OpenClaw integration."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/xRay2016/openclaw-mem0",
    "publisherUrl": "https://clawhub.ai/xRay2016/openclaw-mem0",
    "owner": "xRay2016",
    "version": "1.0.2",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/openclaw-mem0",
    "downloadUrl": "https://openagent3.xyz/downloads/openclaw-mem0",
    "agentUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-mem0/agent.md"
  }
}