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    {
      "name": "MemOS",
      "slug": "memos",
      "tagline": "AI memory OS for agent systems",
      "description": "Persistent skill memory for cross-task reuse and evolution — built for OpenClaw and similar agent frameworks",
      "language": "python",
      "category": [
        "memory",
        "infrastructure"
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      "github": "MemTensor/MemOS",
      "status": "active",
      "tier": 1,
      "highlight": "Persistent skill memory that lets agents learn and reuse across tasks",
      "emoji": "🧠",
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      ],
      "requires_llm": true,
      "mcp_support": false,
      "ecosystem_role": "infrastructure",
      "added": "2026-02-25T00:00:00.000Z",
      "github_data": {
        "stars": 9105,
        "forks": 815,
        "open_issues": 154,
        "license": "Apache-2.0",
        "topics": [
          "agent",
          "agentic-ai",
          "ai",
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          "chatgpt",
          "claude",
          "hermes",
          "llm",
          "long-term-memory",
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        "last_commit": "2026-05-15T10:39:26Z",
        "latest_release": "v2.0.15",
        "latest_release_date": "2026-05-11T03:20:17Z",
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        "last_enriched": "2026-05-15T16:51:00.717Z"
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        "health_score": 95,
        "health": {
          "issues_stars_ratio": 0.0169,
          "days_since_last_release": 4,
          "days_since_last_commit": 0
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      "name": "memU",
      "slug": "memu",
      "tagline": "Memory-first proactive agent",
      "description": "Long-term memory infrastructure for 24/7 AI agents. Proactive, cost-efficient, runs locally.",
      "language": "python",
      "category": [
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      "status": "active",
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      "highlight": "10k+ stars. Memory-first architecture with proactive agent behavior, local-first privacy, reduced LLM token costs.",
      "emoji": "🧠",
      "platform": [
        "server"
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      "requires_llm": true,
      "mcp_support": true,
      "ecosystem_role": "infrastructure",
      "added": "2025-02-25",
      "github_data": {
        "stars": 13635,
        "forks": 1023,
        "open_issues": 109,
        "license": "NOASSERTION",
        "topics": [
          "agent-memory",
          "agentic-workflow",
          "claude",
          "claude-skills",
          "mcp",
          "memory",
          "openclaw",
          "openclaw-skills",
          "proactive",
          "proactive-ai",
          "sandbox",
          "skills"
        ],
        "last_commit": "2026-04-22T12:36:17Z",
        "latest_release": "v1.5.1",
        "latest_release_date": "2026-03-23T07:38:28Z",
        "star_growth_7d": 103,
        "last_enriched": "2026-05-15T16:51:01.076Z"
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        "rank": 12,
        "health_score": 70,
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          "issues_stars_ratio": 0.008,
          "days_since_last_release": 53,
          "days_since_last_commit": 23
        }
      }
    }
  ],
  "key_differences": [
    "memU leads in stars (14k vs 9.1k), though both have substantial communities.",
    "MemOS was updated today, while memU's last commit was 23 days ago.",
    "MemOS uses the Apache-2.0 license while memU uses NOASSERTION.",
    "memU has MCP (Model Context Protocol) support while MemOS does not.",
    "MemOS focuses on infrastructure while memU targets proactive, self-hosted.",
    "MemOS scores higher on project health (maintenance activity, issue management, release cadence)."
  ],
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