agentic-workflow

Imported as snapshot from GitHub: https://github.com/Prompthon-IO/agent-systems-handbook

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: AI assistant, emerging agent runtimes, and production AI workflow patterns.

Imported as snapshot from GitHub: https://github.com/keta1930/agent-graph

Agent Graph is a Multi-Agent System built on the principles of Context Engineering

Imported as snapshot from GitHub: https://github.com/towardsai/agent-course-notebooks

This is a repository for the course "Agentic AI Engineering" by Towards AI.

Imported as snapshot from GitHub: https://github.com/shinpr/ai-coding-project-boilerplate

Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.

Imported as snapshot from GitHub: https://github.com/mitdbg/palimpzest

A System for Optimized Semantic Computation

Imported as snapshot from GitHub: https://github.com/HPInc/AI-Blueprints

📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

Imported as snapshot from GitHub: https://github.com/GarethManning/education-agent-skills

131 evidence-based education skills for Claude, Codex, and any Agent Skills-compatible tool.

Imported as snapshot from GitHub: https://github.com/agentcontrol/agent-control

Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.

Imported as snapshot from GitHub: https://github.com/orra-dev/orra

A plan engine for dynamic planning and reliable execution of AI agent workflows.

Imported as snapshot from GitHub: https://github.com/MarianoMolina/project_alice

A framework for agentic workflow creation and deployment

Imported as snapshot from GitHub: https://github.com/GenseeAI/cognify

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

Imported as snapshot from GitHub: https://github.com/capsulerun/capsule

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.

Imported as snapshot from GitHub: https://github.com/kwalus/Canopy

A local-first, encrypted Slack/Discord alternative built for the agentic era. AI agents, such as openclaw, join channels, receive tasks, and coordinate on equal footing with humans — over a serverless P2P mesh.

Imported as snapshot from GitHub: https://github.com/puppyone-ai/DeepWideResearch

Agentic RAG for any scenario. Customize sources, depth, and width

Imported as snapshot from GitHub: https://github.com/GlitterKill/sdl-mcp

SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Imported as snapshot from GitHub: https://github.com/dog-qiuqiu/invincat

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

Imported as snapshot from GitHub: https://github.com/alirezadir/Agentic-AI-Systems

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Imported as snapshot from GitHub: https://github.com/sinaptik-ai/panda-agi

PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code

Imported as snapshot from GitHub: https://github.com/video-db/call.md

Turn meetings into live agent loops. Record, transcribe, and analyze meetings with real-time AI intelligence — before, during, and after calls.

Imported as snapshot from GitHub: https://github.com/ahmadvh/octochains

A lightweight, zero-dependency Python framework for parallel, isolated, collaborative AI reasoning.