All Agentic Architectures Skill

Skill by ara.so — AI Agent Skills collection.

This skill provides comprehensive guidance for implementing 17+ state-of-the-art agentic architectures using LangChain and LangGraph. The project offers production-ready implementations of patterns ranging from simple reflection loops to complex multi-agent systems with memory, planning, and self-improvement capabilities.

What This Project Does

All Agentic Architectures is a comprehensive collection of modern AI agent design patterns implemented as runnable Jupyter notebooks. It covers:

• Single-Agent Patterns: Reflection, Tool Use, ReAct, Planning
• Multi-Agent Systems: Collaborative teams, Meta-Controllers, Blackboard systems, Ensemble patterns
• Advanced Memory: Episodic + Semantic memory, Graph-based world models
• Safety & Reliability: Dry-Run Harness, Plan-Execute-Verify, Simulators
• Self-Improvement: RLHF-style feedback loops, Metacognitive agents
• Complex Reasoning: Tree of Thoughts, Cellular Automata

Each architecture is designed for practical use across different stages of AI system development.