Lightweight, general-purpose TypeScript agent runtime. Open-source alternative to Claude Agent SDK.
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.
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.
OpenHuskyAgent
Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.
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.
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.
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.
Open-source agent harness with a ReAct loop, event bus, capability registry, approval gate, and pluggable model/tool adapters.
A modular terminal AI agent capable of autonomous code execution, context propagation, and secure OS sandboxing using Gemini and local Ollama engines.
🧠 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.
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.
React wrapper loop. Simple and easy to use
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