21 agents available in the DeepSeek directory
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
Multi-Agent OS for LLM-powered NPCs — AI characters live, wander, and talk autonomously in a pixel-art 2D world. Supports MCP protocol, skill system, multi-LLM (DeepSeek/OpenAI/Claude), and real-time collaboration chains.
Multi-agent AI sandbox simulating the 2026 Strait of Hormuz crisis. 4 nations × independent LLM agents × adjustable parameters = emergent geopolitics.
Multi-Agent AI Coding Assistant - 支持 DeepSeek/文心/通义 等12+国产大模型,多智能体协作编程
NarrativeNexus is a production-ready, multi-agent editorial engine that orchestrates specialized AI agents (Researcher, Architect, Editor, Scout, Strategist) into a professional content production pipeline. Built with CrewAI, Streamlit, and support for DeepSeek-V3, GPT-4o, and Claude 3.5.
Multi-Agent LLM Analysis Framework for A-Shares + Crypto | A股+加密货币多智能体交易分析框架
Create a portable AI assistant that runs directly from a USB drive with open-source code and easy setup for any computer.
耆康云盾 — 基于多智能体协同的智慧健康风险预警管理平台 | Multi-Agent Health Risk Monitoring with ML + LLM
AI 竞品情报系统 · Competitive Intelligence Tool. 输入竞品名称,2~3 分钟生成完整分析报告。5 AI Agents · LangGraph · Streamlit · 支持 DeepSeek / GPT / Claude.
OpenClaw skill — 召唤DeepSeek辅助AI参与Telegram群讨论
Self-evolving ReAct Multi-Agent Swarm | Balanced模式省60-80% token | 全程思考可见 + 后台自我进化 | 支持Ollama/DeepSeek本地部署 | 🇨🇳 中文版
Multi-agent AI consultation framework for Claude Code via MCP — get second opinions from OpenAI, Gemini, Qwen, DeepSeek
🗣️ AgentRound — 多模型 AI 圆桌讨论框架。让多个 AI 模型围绕同一主题展开多轮辩论,支持并发调用、人类实时介入、智能 Token 裁剪、Rich 终端渲染和 Markdown 导出。兼容任意 OpenAI 兼容 API。
PARL (Parallel-Agent Reinforcement Learning) is a training paradigm that teaches models to decompose complex tasks into parallel subtasks and coordinate multiple agents simultaneously.
基于ragflow二次开发的后台管理系统,可以独立运行,支持批量管理知识库、聊天、智能体、用户等,解决ragflow在后台管理上的痛点。
Production-ready RAG engine for medical claim adjudication. FoC (Forest of Clauses) — LLM routes over document structure trees to solve cross-section retrieval failures. Triple-path search · LangGraph Multi-Agent · vLLM Guided Decoding · K8s HPA autoscaling.
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
Multi-agent strategic deception evaluation framework for LLMs using Secret Hitler as a testbed. Analyzes AI reasoning, trust dynamics, and deceptive behavior patterns.
Système RAG agentique multi-agent (Recherche, VérificateurPertinence, FactChecker) à haute précision et évitant les hallucinations dans la recherche de documents (meilleur que GPT4o et DeepSeek R1)
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a move (1, 3, or 5 steps). Whenever two or more players choose the same number, all colliding players fail to advance.
AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.