reflection-agent

A reinforcement learning agent with reflection capabilities for dynamic maze navigation. Implements dual memory system, real-time adaptation, and environment change detection. Open source with research papers and documentation.

Branch-based learning repo for Agentic AI and LLM engineering with LangGraph: ReAct tool calling, Agentic RAG, MCP, Reflection, Reflexion, Human-in-the-loop memory, and DeepAgents examples.

CourseTA is your AI-powered teaching assistant that transforms video lectures into quizzes and summaries helping course creators accelerate content creation and boost learner engagement.

Production-ready multi-agent PDF RAG system with LangGraph, FastAPI, React, reflection/retry, citations, evaluation, and LLM cost observability.

3 种经典范式（ReAct / Plan-and-Solve / Reflection）+ 带 RAG 知识库、跨会话记忆、MCP 工具的 ChatAgent。

AI agents and Agentic AI projects - ReAct agents , Reflection Agents(Generator + Reflector) etc.

AI Agent Architectures is the complex structures that shape how machines perceive, reason, and act in their environments in the pursuit of autonomous intelligence.

从 ELIZA 到自制 HelloAgents 的中文 AI Agent 学习实验室：章节导读、真实笔记与 Python 小实验，拆解 ReAct、Plan-and-Solve、多智能体协作、Function Calling 和多源搜索；用 uv 管理环境。

Reflection-based SQL agent using LangGraph + Ollama that generates, executes, reviews, and self-corrects SQL queries autonomously.

Production-oriented AI system that drafts X/Twitter posts with a single Writer Agent and iteratively refines them through a structured LLM reflection loop orchestrated with LangGraph. Guardrails enforce safety, DeepEval measures baseline vs. reflection quality.

Autonomous multi-agent research system (LangGraph + FastAPI) with a critique-revise reflection loop, production guardrails, retries/fallbacks, and end-to-end Langfuse tracing. Synthesizes web data into cited, structured research reports.

Reflection-based AI research agent using LangGraph, GroqApi, Tavily Search, and Gradio with iterative self-critique and evidence-backed answer revision.

An implementation of the self-correction and reflection pattern using LangGraph. The agent generates a response, critiques it for errors or omissions, and then re-generates a refined answer.

An agent system built with LangGraph to generate, critique, and refine professional LinkedIn posts using reflection pattern.

LangGraph SQL agent with a genuine executor↔critic reflection loop, verified against a live SQLite database.