yigido41/agentic-ai
🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.
What's novel
🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.
Code Analysis
12 files read · 3 roundsA collection of three educational Python scripts demonstrating ReAct, Reflection, and Reflexion agent patterns using LangChain/LangGraph with Gemini and Ollama LLMs.
Strengths
The Reflexion agent (agent-3) shows a well-structured iterative research loop with Pydantic schemas for structured output, and the Reflexion_Readme.md provides excellent architectural documentation. The progression from simple (agent-1) to complex (agent-3) makes it a reasonable learning path.
Weaknesses
No tests exist, no proper package structure (relies on sys.path hacks), no error handling in graph nodes, and the main README is deeply misleading—describing a downloadable desktop application with a 'user-friendly interface' when it's actually a set of hardcoded Python scripts. All agent invocations use hardcoded questions rather than accepting user input.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
14
Contributors
2
Files
21
Active weeks
4
Repository
Language
Python
Stars
1
Forks
0
License
Apache-2.0