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🧩 n8n Workflow Overview:

ReDel is a toolkit for researchers and developers to build, iterate on, and analyze recursive multi-agent systems. (EMNLP 2024 Demo)

👤 Who is this for?

Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.

A powerful command-line interface for Redmine, enhanced with first-class AI agent capabilities via Skills and MCP integration.

Production-ready MCP server for Redmine with security, pagination, and enterprise features

🚀MCP server for accessing RedNote(XiaoHongShu, xhs).

Healthcare API/integration backbone for AI products

RedTeam-Agent: AI-Powered Autonomous Red Team Framework via Model Context Protocol. AI红队与内网渗透自动化框架，支持 gogo, fscan, httpx, nuclei, impacket, playwright 等 15+ 渗透工具，让 LLM 直接化身安全审计黑客。

An AI red-team agent for authorized labs and web app pentesting workflows. Turns Claude Code / OpenCode / Codex into a structured recon → test → exploit → report workflow, with containerized tools and

Stop Paying for the Same Answer Twice

How it works:

This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses whi

Empower your agents with automation for incident remediation

Automate viral reel/tik-tok videos via AI multi-agent system. ~$0.1/reel.

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

[CVPR 2026] Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object Segmentation

Poole, Mackworth & Goebel 1998, p. 1. Russell & Norvig 2003, p. 55. Definition of AI as the study of intelligent agents: Poole, Mackworth & Goebel (1998), which provides the version that is used in

AI-powered work search and knowledge management tools

Find all your work in one place, instantly with AI

Refio – open source, local-first coding companion for IntelliJ

is a next-generation, modern, and lightweight SSH client engineered for absolute efficiency. Beyond standard terminal emulation, it acts as your ultimate developer workbench by integrating AI-assisted

Reflexion: an autonomous agent with dynamic memory and self-reflection

Command-Line Agentic Refactoring of Java Code

Simplify refrigeration management with a connected solution built for efficiency, compliance, and sustainability.

An interactive disassembler for the CPU 6502, focused mostly on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, arrows, keyboard-driven, mcp server, VICE debugger

Regional Prospecting for registered Companies in Germany

This workflow implements a lightweight authentication system for n8n web portals using Google Sheets as a simple user and session store. It supports email-based registration, username and password log

Automatically register new volunteers in SinergiaCRM when they submit a form, creating or updating contacts and relationships, and sending a confirmation email to your team.

A universal skill.md creator for any website. AI agents can register or take any action with human guidance.

Production-ready MCP servers for 70+ APIs — GitHub, Google, Notion, Jira & more. Generated from OpenAPI specs, tested against live APIs. Works with Claude Desktop, Cursor, Codex & Claude Code.

Regulatory change feed powered by AI

Scan, fix and animate old photos using AI

Virtual staging in batches with sky replacement

Runtime kill-switch for autonomous AI agents. Regime-aware Bayesian governor, NL policy compiler, adversarial red-team simulator. AGPL + commercial.

Autonomous AI agent for Crustocean, powered by Hermes Agent from Nous Research

REINA AI is governed-by-design agentic AI system built on Agentforce. It enables teams to analyze, summarize, and answer questions about complex documents directly in Salesforce, while preserving huma

This project implements a serverless edge computing function offloading system using Multi-Agent Proximal Policy Optimization (MAPPO) reinforcement learning with Redis-based caching.

Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.

Turn your codebase into readable format, for both Human and AI Agent.

面向长期聊天型数字人格的运行时：脑子与嘴巴分离的双层推理 + Vanguard Router + MoE 6 专家 DAG + 自建中文情感对话 benchmark（friend_chat_zh_v1 · 7.9/10）

Real-time agent to agent communication

Human-in-the-loop workflow automation

This workflow allows you to release a new version via a Telegram bot command. This workflow can be used in your Continous Delivery pipeline.

Home of the AI workforce - Multi-agent system, AI agents & tools

This workflow serves as a solid foundation when you need an AI Agent to return output in a specific JSON schema, without relying on the often-unreliable Structured Output Parser.

Since the Get Many Subreddit node often blocks requests because Reddit requires proper authentication headers, this workflow provides a reliable alternative. It uses the Reddit OAuth2 API through the

Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.

Persistent knowledge memory layer for AI agents. Rust, Postgres + pgvector, MCP protocol.

A memory layer for AI Agents

An agentic memory database that cuts session tokens by 75–99%. One portable SQLite file — your agent's memory, anywhere.

Local-first memory plugin for AI agents including OpenClaw, Hermes, Codex, Claude Code and more. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-ter

MCP server and CLI for connecting AI agents, OpenClaw/Hermes workflows, local automation, and coding harnesses to your RemNote knowledge base via the RemNote Automation Bridge.

飞书机器人接入 Claude Code，群聊共享上下文，本地电脑操作助手，效果类似openclaw

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🚀 Remote Job Automation Workflow

A type-safe solution to remote MCP communication, enabling effortless integration for centralized management of Model Context.

Getting Started with Remote MCP Servers using Azure Functions (Python)