Repository History
29 repositories tagged with ai-agents
agent-tackle-box: A Terminal Debugger for LangGraph & LangChain Agents
agent-tackle-box is a comprehensive toolkit for developing AI agents, featuring the powerful `agent-debugger`. This terminal debugger provides deep insights into LangGraph and LangChain agents. It allows developers to inspect state, monitor tool calls, and step through Python code, all within a unified Textual UI.
agent-skills: Production-Grade Engineering Skills for AI Coding Agents
agent-skills is a comprehensive GitHub repository offering production-grade engineering skills for AI coding agents. It provides structured workflows, quality gates, and best practices that senior engineers use to build reliable software. These skills help AI agents consistently follow robust development processes across all phases.
Ruflo: The Agent Meta-Harness for Intelligent AI Swarms
Ruflo, formerly Claude Flow, is an advanced agent meta-harness designed to deploy intelligent multi-player swarms and coordinate autonomous AI workflows. It enhances AI models like Claude Code and Codex with adaptive memory, self-learning intelligence, RAG integration, and robust enterprise security features. This powerful framework enables agents to self-organize, learn from tasks, and securely collaborate across different machines.
goose: Your Native Open Source AI Agent for Code and Workflows
goose is an open source, extensible AI agent designed to run natively on your machine, offering capabilities beyond simple code suggestions. It supports installation, execution, editing, and testing with a wide range of Large Language Models. Built in Rust, goose provides a desktop app, CLI, and API, making it a versatile tool for various tasks from coding to data analysis.
Awesome AI Agents 2026: The Ultimate List of AI Tools and Frameworks
This repository, `awesome-ai-agents-2026`, is a comprehensive and frequently updated collection of over 340 AI agents, frameworks, and tools across more than 20 categories. It serves as an essential resource for developers and researchers looking to explore the rapidly evolving landscape of artificial intelligence in 2026, covering everything from coding agents to creative AI and governance.
Agent Sandbox: Managing Isolated, Stateful Workloads on Kubernetes
Agent Sandbox introduces a Sandbox Custom Resource Definition (CRD) and controller for Kubernetes, designed to simplify the management of isolated, stateful, singleton workloads. It provides a declarative API for use cases such as AI agent runtimes, development environments, and persistent single-container sessions. This project aims to offer a lightweight, single-container VM experience built on Kubernetes primitives.
awesome-ai: A Curated List of 400+ AI APIs, Tools, and Frameworks
The awesome-ai repository by edwardtay offers a comprehensive, curated list of over 400 AI APIs, tools, frameworks, and platforms. Spanning more than 40 categories, it serves as an invaluable resource for developers and researchers navigating the vast landscape of artificial intelligence. This list helps users discover solutions for LLMs, agents, image/video generation, MLOps, and more.
ReMe: An Advanced Memory Management Kit for AI Agents
ReMe is an innovative, local-first memory layer designed for AI agents, transforming conversations and resources into file-based long-term memory. It continuously indexes, links, and consolidates this information, enabling advanced recall and supporting the development of self-evolving agents. This kit helps agents remember and refine their experiences effectively.
AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development
The AI-Agents-Projects-Tutorials repository offers an extensive collection of code implementations and tutorials for building advanced AI agents. It covers fundamental concepts such as multi-agent systems, memory management, planning, and reasoning loops. This resource is ideal for developers and researchers seeking practical insights into agentic AI development.
Destructive Command Guard (dcg): Protecting AI Agents from Dangerous Commands
The Destructive Command Guard (dcg) is a high-performance hook designed to prevent AI coding agents from executing dangerous git and shell commands. Built in Rust, dcg intercepts and blocks catastrophic operations like `git reset --hard` or `rm -rf`, offering clear explanations and safer alternatives. It provides a crucial safety layer for developers working with tools like Claude Code, Codex CLI, and GitHub Copilot.
Loop Engineering: Orchestrating AI Agents with Practical Patterns and Tools
Loop Engineering is a GitHub repository offering practical patterns, starters, and CLI tools for building robust AI coding agent systems. It shifts the focus from individual prompt crafting to designing control systems that orchestrate agents over time. This project empowers developers to create autonomous, iterative AI workflows for various development tasks.
My Virtual World: A Self-Hosted 3D AI Virtual World for Agent Harnesses
My Virtual World is an innovative self-hosted 3D AI virtual environment designed for agent harnesses such as OpenClaw and Hermes. It allows AI agents to live, work, move between buildings, and interact with objects in a persistent voxel-style world. This project offers a unique platform for developing and observing AI agent behaviors in a rich, customizable 3D setting.