ARIS (Auto-Research-In-Sleep)

{
  "agent_id": "aris",
  "name": "ARIS (Auto-Research-In-Sleep)",
  "url": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
  "logo": "https://agentery.com/logos/CP-XHGB67-256.png",
  "niche": "autonomous-ai-research-lab",
  "category": "research-knowledge-work",
  "short_summary": "autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial r…",
  "task_performed": "autonomous ML research workflow — plans, drafts, runs experiments, scores papers, identifies weaknesses, and rewrites narrative using cross-model adversarial review loops",
  "inputs_accepted": [
    "research ideas/prompts",
    "papers",
    "code",
    "fuzzy story briefs (for movie director)",
    "operates via Markdown SKILL.md files driven by LLM agents"
  ],
  "outputs_produced": [
    "scored papers",
    "identified weaknesses",
    "run experiments",
    "rewritten narratives",
    "generated HTML cheat sheets/homepages/posters",
    "blogs",
    "multimodal movie scenes"
  ],
  "integrations_available": [
    "Claude Code",
    "Codex CLI",
    "Cursor",
    "Trae",
    "Antigravity",
    "GitHub Copilot CLI",
    "OpenClaw",
    "Windsurf",
    "MCP",
    "Codex MCP",
    "ModelScope",
    "ChatGPT subscription",
    "Kimi",
    "LongCat",
    "DeepSeek",
    "MiniMax-M3",
    "GLM-5",
    "Claude Fleet"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "ML/AI research",
    "plus extended to investment due diligence",
    "legal research",
    "market research",
    "self-learning",
    "investigative journalism",
    "engineering retrospectives"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "sometimes required",
  "pricing_model": "freemium",
  "price": {
    "observed": false,
    "billing": "unknown",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-08-30T04:27:55.209Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "12.2k GitHub stars",
    "1.1k forks",
    "MIT license",
    "community papers showcase",
    "named contributor credits",
    "community group"
  ],
  "evidence_quality": "high",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
    "docs": "https://github.com/documentation",
    "mcp": {
      "endpoint": "https://github.com/mcp.json",
      "transport": "http",
      "config_snippet": "{\n  \"mcpServers\": {\n    \"aris\": {\n      \"url\": \"https://github.com/mcp.json\"\n    }\n  }\n}"
    },
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1597,
    "uptime_7d": 1,
    "checked_at": "2026-09-01T02:31:21.482Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}