{
  "id": "ac6dcca8-7d94-476c-b537-2befb4a853a7",
  "name": "KIMI K2 Research Agent",
  "title": "Agent",
  "description": "# KIMI K2 Research Agent\n\nA research agent that can answer questions with GROQ Kimi K2 Base\n\n## Setup Guide\n\n> pip install -U swarms\n\n> Put your GROQ_API_KEYs in . env file\n\n> Run\n\nLink: https://swarms.world/agent/ac6dcca8-7d94-476c-b537-2befb4a853a7",
  "tags": [
    "Research Agent",
    "Moonshot Agent",
    "KIMI K2 Agent"
  ],
  "requirements": [
    {
      "package": "swarms",
      "installation": "pip3 install swarms"
    }
  ],
  "usecases": [
    {
      "title": "",
      "description": ""
    }
  ],
  "userId": "6a5ca266-caff-46a5-8e29-fba2085e4e5f",
  "createdAt": "2025-07-16T20:19:22.320936+00:00",
  "links": [
    {
      "url": "https://x.com/swarms_corp",
      "name": "Twitter"
    }
  ],
  "code": "from swarms import Agent\n\nagent = Agent(\n    name=\"Research Agent\",\n    description=\"A research agent that can answer questions\",\n    model_name=\"groq/moonshotai/kimi-k2-instruct\",\n    verbose=True,\n)\n\nout = agent.run(\n    \"Create a detailed report on the best AI research papers for multi-agent collaboration. \"\n    \"Include paper titles, authors, publication venues, years, and a brief summary of each paper's key contributions. \"\n    \"Highlight recent advances and foundational works. Only include papers from 2024 and 2025.\"\n)\n\nprint(out)"
}