{
  "$schema": "https://shelldex.com/schemas/compare.schema.json",
  "generated": "2026-05-23T04:17:10.635Z",
  "source": "https://shelldex.com/compare/hermes-vs-memos/",
  "license": "CC-BY-4.0",
  "pair": {
    "canonical": "hermes-vs-memos",
    "slugA": "hermes",
    "slugB": "memos"
  },
  "projects": [
    {
      "name": "Hermes Agent",
      "slug": "hermes",
      "slug_aliases": [
        "hermes-agent"
      ],
      "tagline": "The agent that grows with you",
      "description": "Persistent personal AI agent by Nous Research with multi-level growing memory, self-authored skills, and multi-platform messaging. Learns your projects and builds reusable knowledge over time.",
      "language": "python",
      "category": [
        "memory",
        "self-hosted",
        "multi-platform"
      ],
      "github": "NousResearch/hermes-agent",
      "status": "active",
      "tier": 1,
      "highlight": "Self-improving skill system — agent writes reusable SKILL.md docs as it solves problems, building a personal knowledge base over time",
      "emoji": "🧠",
      "platform": [
        "server",
        "messaging"
      ],
      "requires_llm": true,
      "mcp_support": true,
      "ecosystem_role": "alternative",
      "added": "2026-02-28",
      "github_data": {
        "stars": 163323,
        "forks": 26728,
        "open_issues": 13267,
        "license": "MIT",
        "topics": [
          "ai",
          "ai-agent",
          "ai-agents",
          "anthropic",
          "chatgpt",
          "claude",
          "claude-code",
          "clawdbot",
          "codex",
          "hermes",
          "hermes-agent",
          "llm",
          "moltbot",
          "nous-research",
          "openai",
          "openclaw"
        ],
        "last_commit": "2026-05-23T03:15:11Z",
        "latest_release": "v2026.5.16",
        "latest_release_date": "2026-05-16T09:59:15Z",
        "star_growth_7d": 11664,
        "last_enriched": "2026-05-23T04:16:37.439Z"
      },
      "stars": 163323,
      "leaderboard": {
        "rank": 2,
        "health_score": 75,
        "health": {
          "issues_stars_ratio": 0.0812,
          "days_since_last_release": 6,
          "days_since_last_commit": 0
        }
      }
    },
    {
      "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"
      ],
      "github": "MemTensor/MemOS",
      "status": "active",
      "tier": 1,
      "highlight": "Persistent skill memory that lets agents learn and reuse across tasks",
      "emoji": "🧠",
      "platform": [
        "server"
      ],
      "requires_llm": true,
      "mcp_support": false,
      "ecosystem_role": "infrastructure",
      "added": "2026-02-25T00:00:00.000Z",
      "github_data": {
        "stars": 9340,
        "forks": 845,
        "open_issues": 173,
        "license": "Apache-2.0",
        "topics": [
          "agent",
          "agentic-ai",
          "ai",
          "ai-agents",
          "chatgpt",
          "claude",
          "hermes",
          "llm",
          "long-term-memory",
          "mcp",
          "memory",
          "memory-management",
          "multi-agent",
          "openclaw",
          "python",
          "rag",
          "self-evolving",
          "self-hosted",
          "skills",
          "token-savings"
        ],
        "last_commit": "2026-05-22T13:36:57Z",
        "latest_release": "v2.0.16",
        "latest_release_date": "2026-05-19T02:45:17Z",
        "star_growth_7d": 235,
        "last_enriched": "2026-05-23T04:16:39.500Z"
      },
      "stars": 9340,
      "leaderboard": {
        "rank": 15,
        "health_score": 95,
        "health": {
          "issues_stars_ratio": 0.0185,
          "days_since_last_release": 4,
          "days_since_last_commit": 0
        }
      }
    }
  ],
  "key_differences": [
    "Hermes Agent has 17x more stars (163k vs 9.3k), indicating significantly broader adoption.",
    "Hermes Agent is growing faster with +12k stars this week vs +235 for MemOS.",
    "Hermes Agent uses the MIT license while MemOS uses Apache-2.0.",
    "Hermes Agent has MCP (Model Context Protocol) support while MemOS does not.",
    "Hermes Agent focuses on self-hosted, multi-platform while MemOS targets infrastructure.",
    "MemOS scores higher on project health (maintenance activity, issue management, release cadence)."
  ],
  "urls": {
    "page": "https://shelldex.com/compare/hermes-vs-memos/",
    "json": "https://shelldex.com/api/compare/hermes-vs-memos.json",
    "markdown": "https://shelldex.com/md/compare/hermes-vs-memos.md"
  }
}