Lightweight, general-purpose TypeScript agent runtime. Open-source alternative to Claude Agent SDK.

Local-first, privacy-first AI agent with recursive self-improvement

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

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

OpenHuskyAgent

Self-hosted Java/Spring Boot AI agent framework with FSM-based ReAct loop, extensible modules, Telegram assistant for personal/group chats, REST/Web UI, OpenRouter/Ollama, and Spring Boot starter.

Agent ReAct framework with cognitive planning engine — five-phase cognitive cycle with nested ReAct loops, dynamic skill acquisition, and interactive user input.

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.

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

Autonomous Android AI Agent — Controls your phone screen like a human using AI vision + MCP remote control

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.

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.

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

⚙️ Deterministic Go runtime for building reliable, resumable, event-driven AI agents.

A modular terminal AI agent capable of autonomous code execution, context propagation, and secure OS sandboxing using Gemini and local Ollama engines.

Autonomous incident response platform : 5 AI agents, RAG engine, ReAct loop, live ops dashboard

Autonomous AI Agent Platform — Go + TypeScript. Multi-trigger system (webhooks/cron/events), dynamic API connectors, browser automation, real-time execution dashboard.

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

Local-first autonomous agent powered by Ollama - ReAct loop (Think?Act?Observe), long-term memory with vector embeddings, sandboxed tool execution, and infinite-loop detection.

🛡️ 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.