react-loop

Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.

Minimal local-Qwen coding agent in a single Python file. ReAct loop, tool dispatch, atomic tools, no framework. Educational.

A pure Python implementation of ReAct agent without using any frameworks like LangChain. It follows the standard ReAct loop of Thought, Action, PAUSE, and Observation. The agent utilizes multiple tools, including Calculator, Wikipedia, Web Search, and Weather. A web UI is also provided using Streamlit.

Code snippets for my 2025 lecture at Columbia University, an introduction to AI Agents

Multi-Agent Orchestration System — 17 AI agents coordinating through a ReAct loop to build complete software projects from a single goal

Chat agentico multi-agente em Streamlit: um CEO delega, especialistas executam e um juiz valida as respostas.

Agent 意图框架 — 把人话翻译成结构化意图+槽位+约束。输入规范化(两阶段) + 三层瀑布式意图识别(Code→Flash→Pro)，80% 请求零 LLM 调用，10ms 内返回。650 测试全过。

AI-powered desktop file organizer with intelligent categorization and automation.

🛡️ An autonomous cybersecurity agent powered by Gemma 3 that automates the network penetration testing lifecycle. ThreatScope uses a ReAct loop and RAG to discover active hosts, triage vulnerabilities via Nmap/Vulners, and generate prioritized, human-readable remediation reports.

An interactive AI Agent built with Streamlit that evaluates cat food quality using a ReAct decision loop. Powered by Llama 3.3, it combines real-time DuckDuckGo web searches with custom Python tools to calculate Dry Matter, NFE, and Ca:P ratios. It provides professional veterinary verdicts based on user-selectable FEDIAF or AAFCO standards.

🧠 Local AI coding agent that autonomously finds bugs, writes fixes, self-reviews, and validates with tests. Powered by Ollama. 100% offline. Zero API costs.

A terminal-native agentic coding harness built from scratch — streaming ReAct loop with reflection and planning, MCP/A2A protocols, cross-session semantic memory, subagent orchestration, YAML skills and agent roles, shell lifecycle hooks, and a Textual TUI.

WhatsApp channel for Marvin — knowledge-grounded AI assistant with MCP tool access, Milvus RAG, politeness system, and web search fallback.

Autonomous Loop & Graph Engineering Engine for Google Antigravity & AI Coding Agents

Local first agentic AI assistant with real-time web search, tool calling, and streaming responses, powered by llama.cpp and your own hardware.

An autonomous AI agent using Groq's LPU for ultra-fast ReAct loops. Features real-time web search via SerpAPI, safe mathematical evaluation, and local document parsing.

电商 Agent 运行时底座：双引擎运行时（自研 ReAct Loop + LangGraph）· MCP 工具集群 · LLM Gateway 成本路由 · RAG as a Service · Agent 公共链路。MOCK 模式零成本跑通全链路。

Official companion repository and runnable Python architectures for "Building Autonomous AI Agents with Claude".

Python 版 coding agent harness：ReAct 循环、三态护栏、edit_file/grep/glob 工具、Hadoop Streaming 异步治理任务、自研终端 UI（TypeScript 版见 coding-agent-harness）