Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Single source of truth for AI coding agent configuration — skills, commands and rules shared across OpenCode and Pi.

CTX - Context Runtime Engine for Coding Agents

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Agenta is a workspace where you and your team build agents and automations.

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

the governed runtime for agent skill workflows, off the leash but on the record

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

📚 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.

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

Self-hosted registry and CLI for publishing, browsing, and installing agent skills.

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.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone via WeChat, Feishu, DingTalk & Telegram.

Agent Skills for VueUse

Agent Skills for working UX designers. Challenge ideas, find blind spots, use the real design system, preserve evidence and decisions, and carry UX intent into engineering.

An Agentic Framework for Reflective PowerPoint Generation

An MCP server for loading skills (shim for non-claude clients).