A collection of 2025 agentic workflows built in n8n. Showcases manual multi-model orchestration, RAG-to-SQL, and autonomous research pipelines developed before the era of standardized agentic protocols (MCP).
# Agentic-Archive > **Note:** This repository is preserved as a technical showcase for educational purposes and was developed before the era of standardized agentic protocols (MCP). ## Description This repository contains a collection of agentic workflows built in early 2025 for data analysis and research purposes. **Context:** At the time of development, standard agentic interfaces (like MCP or native Sandboxed Code Interpretation) did not exist or were not widely accessible. To achieve autonomous behavior, logic had to be explicitly built into rigid pipelines: * **Web Search:** via DeepSeek Sonar API. * **Deep Research:** Multi-model orchestration. * **Data Visualization:** JSON-to-Visual generation. Please note that some of these methods may now be superseded by modern, native "Deep Research" agents, MCP, or coding tools released since 2025. They are preserved here for reference and educational purposes. ## Table of Contents - Agentic - [Multi-Model Research Agent](https://github.com/jackvandervall/Agentic-Archive/blob/main/N8N%20Agents/Multi-Model%20Research%20Agent.json) - [Data Analysis Agent](https://github.com/jackvandervall/Agentic-Archive/blob/main/N8N%20Agents/Data%20Analysis%20Agent.json) - [RAG and Research Agent](https://github.com/jackvandervall/Agentic-Archive/blob/main/N8N%20Agents/RAG%20and%20Research%20Agent.json) - Tooling - [Sonar Web Search DeepSeek](https://github.com/jackvandervall/Agentic-Archive/blob/main/N8N%20Tools/Sonar%20Web%20Search%20(DeepSeek%20API).json) - [Supabase Heartbeat Scheduler](https://github.com/jackvandervall/Agentic-Archive/blob/main/N8N%20Tools/supabase-heartbeat.json) ### Multi-Model Research Agent The agent automates research by querying the DeepSeek Sonar API using DeepSeek and DeepSeek to gather, refine, and structure research findings. The Research Manager generates detailed insights from multiple queries, ensuring proper citations. The Research Compiler formats fi
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型