173 results for “topic:agentic-workflows”
Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.
Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.
Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td
A lightweight workflow engine
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.
一个将自然语言转化为可执行工作流的 Agent. A workflow agent that turns natural language into executable workflows.
Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.
Structured context management framework for LLM agents. Implements Git-like operations (COMMIT, BRANCH, MERGE) to manage long-horizon agent memory.
Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows
🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.
Distributed multi-agent research engine with dynamic strategy planning, durable stream-based coordination, and controlled synthesis
This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.
Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3
Autonomous AI Agent for the JVM: shell, files, google search, runs any LLM generated java code on the jvm itself. JIT compilation and a child-first classloader with ANY classpath. Comes wit a swing GUI , can be "dropped in" into any existing java application. Easy tools easy pojos. IoT devices. Run it standalone for a pure-java AI assistant.
Runtime provenance for AI and scientific workflows—capture, enrich, and query workflow data via observability adapters and code annotation across edge, cloud, and HPC.
MCP local-first CLI tool that converts PRD text files into persistent execution graphs (SQLite) for structured agentic workflows
Standard protocol for agent-to-agent communication with stateful orchestration, MCP-compatible and a public marketplace to discover and register agents.
Decentralized execution rails for AI agents. Enables autonomous cross-chain transactions using intents and zkTLS.
The Universal Agent Interoperability Protocol: The TCP/IP of the AI Economy
A Python framework for modular, self-contained skill management for machines.
claude-devkit - an agentic coding framework
Deploy Your Swarm In One Click with FastAPI, Uvicorn, and more ;)
No description provided.
Multi-agent orchestration system for generating investment memos using LangGraph
This project is a multi-agent customer service chatbot designed for an e-commerce platform. The chatbot employ specialized agents handle distinct tasks to ensure efficient and accurate interactions. The chatbot aims to enhance user experience by streamlining order processing, answering FAQs, and providing personalized recommendations.
AI apps development in LangChain & LangGraph - tutorial notebooks
AI Agent Runtime Engine: Long-lived sessions for Claude Code & OpenCode
A structured data reader and writer like 'jq' and 'yq' for AI Agents
🚀 5,000+ Precision-Tagged AI Skills. Auto-updating & Agent-ready. / 5000+ 精准标注 AI 技能,自动更新,智能体必备。
Script workflow management via MCP. Converts AI workflows to persistent scripts, reducing tokens & delays while minimizing hallucination risks.