29 essential agentic design patterns for building intelligent AI systems
#agentic-workflow
164 posts
AI-native developer workstation baseline — 48+ skill packs, sub-agents, MCP templates, and loop engineering primitives for Claude Code, open...
Claude or other MCP Agentic integration for GB Studio Automated game asset creation and project management REST API endpoints for scenes, ac...
Spec-driven development for Claude Code — turns vague feature requests into research, requirements, design, tasks, then executes them autono...
Autonomous coding agent orchestration. Give it a goal, walk away, come back to finished work. Eval loops, multi-agent pipelines, DAG depende...
A holy, minimalist CLI toolkit and MCP server designed exclusively for LLM coding agents.
A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understandin...
MCP server that surfaces coherence, governance, and safety primitives: Wave/Bump validation, ATOM trail + gates, .context.yaml packing, AWI...
MCP Server that wraps mitmproxy and exposes it as a tool to any MCP client, allows your AI agents to inspect traffic, filter traffic, interc...
🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.
A universal suite of MCP-native and node.js API tools for agentic AI, researchers, and developers to map, knowledge-graph, and work with str...
◉ Universal Intelligence: AI made simple.