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A Spring Boot auto-configuration library that injects RAG knowledge base, MCP tool calling, and Skill library into Spring AI applications with an out-of-the-box chat UI.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

Dynamic tool discovery and selection for Spring AI, enabling LLMs to work efficiently with large tool libraries by discovering tools on-demand instead of loading all definitions upfront.

🍀 🤖 Spring Boot AI - Evaluation Testing

A persistent runtime for long-lived LLM agents

How it works

Experimental self-improving multi-agent coding system: a root agent recursively decomposes goals and delegates to specialist subagents, learning from failures by mutating a git-backed agent genome. Su

Compose AI agents as code. One source, run anywhere.

A Rust TUI file commander where the AI agent in the side pane can query the file commander itself

Ask questions in plain English. Get SQL, results, and answers scored by SQLAS, orchestrated by LangGraph, safe by design.

MCP server that connects AI agents (Claude Desktop, Cursor, Windsurf) directly to your MySQL, PostgreSQL, or SQLite database read-only by default, zero install via npx.

自然语言驱动的自动化 SQL 对账系统 — 基于 HelloAgents 多 Agent 框架 · ReAct 推理 · NL2SQL

【在线免费使用】 简单快速将SQL或DBML转换为美观的ER图（支持 Agent Skill）/ The best SQL to ER Diagram converter (Support Agent Skill).

This workflow demonstrates how to export SQL to XML and present the data nicely formatted using an XSL Template.

Production-grade evaluation framework for Text-to-SQL and SQL AI agents. 50 metrics. Any LLM. pip install sqlas.

SQLGenAI CrewAI

SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-machine bridge sync

Composing deterministic workflows (DTS) with non-deterministic Squad AI agents (MAF). Companion demo for the 'Make It So' blog post.

Your AI dev team in a box — parallel specialist agents, persistent memory, 820+ skills. Open-source, local-first.

Declarative multi-agent AI workflows in HCL. Single Go binary. Native MCP. Plugins in Go and Python.

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, sel

The Software Factory

Local-first memory runtime for AI agents. One command to connect Claude Code, Codex, ChatGPT, MCP workflows, and local agents.

Squrve is a lightweight yet powerful framework for translating natural language into SQL over complex databases.

Compress LLM context to save tokens and reduce costs

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

AI Agent从零学习SRC漏洞挖掘的全过程记录 - 研究笔记、框架分析、真实案例、学习路线

The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across

Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-

An autonomous Kubernetes troubleshooting and healing agent powered by AI Agents and LLMs

Welcome to SriksML – a comprehensive repository of hands-on, production-inspired Jupyter notebooks and code samples for modern machine learning, deep learning, and AI workflows.

A CLI-first autonomous coding agent where the actor never grades itself. Every edit is grounded in your repo's real topology and verified by an independent deterministic grader (drift, lint, verify-ta

The implementation of Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System.

SSH MCP Server - AI manages remote servers via SSH. Multi-server, SFTP zero-token transfer, SOCKS5 proxy, jump host, 2FA, async transfer with progress.

给 AI agent（Claude Code / openclaw / Codex）用的 VPS SSH 管理技能：统一密钥、别名管理、一键下发公钥、安全关闭密码登录、批量探活

Great — here’s a complete Workflow Description for your n8n Creator submission based on the JSON you shared:

Use Case

How It Works: The 5-Node Certificate Management Flow 🗓️

“接入大模型的AI-agent 互联网后端面试助手，支持在线 ACM模式IDE 与多平台面经整合，支持定制化个人面经库(RAG)与简历/面试复盘”

AI Agent for app stability analysis — crash logs, ANR, OOM, freezes & more. Parses, symbolizes (addr2line/atos), extracts code context, and generates root-cause fix suggestions via LangGraph + RAG

Queue-Based State Machine - A lightweight workflow execution engine with DAG-based stage orchestration. Unlike simple task queues (like Celery) or advanced orchestrators (like Highway), Stabilize str

Open-source text-to-image collaboration platform

Unleash your creativity with AI tools for musicians and lyricists

> This n8n template builds Stacey, an AI assistant that runs inside Telegram. Stacey listens to your messages, understands what you want using AI, and intelligently routes commands to MCP-connected

One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto-configures Claude Code, Cursor, Aider.

Query, provision and operate Cloud and SaaS resources and APIs using an extensible SQL based framework

Self-hosted, open-source AI resume builder for software developers.

Run your AI coding tool through a 18-stage dev pipeline. Multi-host across Claude Code, Codex, Gemini CLI and OpenAI API compatible endpoints. Artifacts and gates on disk, not a chat log.

Solid Tumor Associative Modeling in Pathology

Public-safe local dashboard skeleton for agent systems with demo mode, adapter contracts, and release safety gates

Autonomous multi-agent coding system on local LLMs. No frameworks, no API costs. Plan → Build → Test → Fix with Qwen 80B + 7B on your own GPUs.

JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2

The composable standard reasoning agent

AI-Driven daily construction report (DCR) standardization

Workflow Overview:

Objective

This is the first of 4 workflows for a Mattermost Standup Bot. This workflow will create a default configuration file.

This is the second workflow for the Mattermost Standup Bot. This workflow is called by the 'Standup Bot - Worker' workflow and will read and return the configuration options.

This is the third bot for the Mattermost Standup Bot. This workflow will override or update the configuration file as needed. This workflow is called by the 'Standup Bot - Worker' workflow.