This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
A set of MCP security checklists and guides for agents and MCP servers.
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection and skill crystallization. Local-first, BYO LLM keys (Claude · OpenAI · Gemini · DeepSeek · Kimi · GLM · Qwen). macOS / Windows / Linux.
250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
ValueCell is a community-driven, multi-agent platform for financial applications.
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.
A memory layer for AI Agents
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
Learn AI and LLMs from scratch using free resources
Source-backed feature comparison of memory systems for AI coding agents. No affiliation, no marketing — just facts from public docs.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
Multi-agent systems, memory, planning, reasoning loops
A Swift reimplementation of a Claude Code-style coding agent, built stage by stage to explore what makes coding agents work
86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more.
📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.
28 plugins and MCP servers for Claude Code — TDD, multi-agent orchestration, iterative refinement, binary RE, structured decisions. Install any skill in one command.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.