muhammad-abbas-10/Multi-Agent-Research-System
- 类型：github
- 标识：muhammad-abbas-10/Multi-Agent-Research-System
- 链接：https://github.com/muhammad-abbas-10/Multi-Agent-Research-System
- 主题：agent, engineering, database
- 主分类：agent
- 形态：app
- 分类：academic-writing
- Stars：0
- 周增：+0
- 最近提交：2026-08-23
- 简介：A multi-agent AI research pipeline built with n8n, Groq (Llama models), Node.js, React, and PostgreSQL. A user submits a research question, which is broken down by a planning agent, investigated in parallel by specialized research/technical/cost agents, verified by a fact-checking agent, and synthesized into a structured report with sources.
- 上次采集：2026-08-24
- 首次采集：2026-08-14
- 学术状态：accepted
- 学术阶段：discovery
- 学术主任务：topic-discovery
- 学术方向：search
- 学术用途：literature-discovery
- 学术相关度：80
- 学术判定：deterministic
- 学术证据：anchor:research; query:research-question; task:topic-discovery:research question
- 学术复核时间：2026-08-24T13:30:02+08:00
- 待LLM分类：否
- 成熟度：experimental
- 简介中文：基于 n8n、Groq（Llama 模型）、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题后，由规划 Agent 拆解，由专业的研究/技术/成本 Agent 并行调查，由事实核查 Agent 验证，最终合成为带来源的结构化报告。
- 语言：JavaScript
- 来源文件：
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