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Agent Sandbox: Secure Local Development for AI Coding Agents
Agent Sandbox provides a robust and secure local development environment specifically designed for collaborating with AI coding agents. It ensures minimal filesystem access, configurable network egress policies, and secure secret injection, protecting your local machine from potentially risky agent operations. This project supports various AI agents and integrates seamlessly with both CLI and popular IDE devcontainer setups.
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Agent Sandbox: Secure Local Development for AI Coding Agents
Agent Sandbox provides a robust and secure local development environment specifically designed for collaborating with AI coding agents. It ensures minimal filesystem access, configurable network egress policies, and secure secret injection, protecting your local machine from potentially risky agent operations. This project supports various AI agents and integrates seamlessly with both CLI and popular IDE devcontainer setups.
Agent-Memory: Persistent Memory for AI Coding Agents
Agent-Memory provides persistent memory for AI coding agents, ensuring they remember past interactions and learned patterns across sessions. Built on the iii engine, it eliminates the need for re-explaining context, significantly improving agent efficiency and reducing token usage. This solution integrates seamlessly with various agents, offering a robust memory management system.

AnythingMCP: AI-Empowered Gateway for Custom Claude, ChatGPT, Gemini Connectors
AnythingMCP is a self-hosted, open-source AI-empowered gateway that transforms existing APIs, databases, and MCP servers into custom connectors for leading AI models like Claude, ChatGPT, and Gemini. It enables no-code integration of REST, SOAP, GraphQL, and SQL sources into the Model Context Protocol, featuring robust authentication, access control, and audit logging. The platform also includes over 175 pre-built adapters for common services, simplifying complex integrations.

gh-aw-firewall: Secure Your Agentic Workflows with a Network Firewall
gh-aw-firewall is a robust network firewall designed specifically for agentic workflows, restricting outbound HTTP/HTTPS traffic to an allowlist of domains. It operates by running commands within a Docker sandbox, leveraging a Squid proxy for traffic filtering and an optional API proxy sidecar to securely manage LLM API keys. This project is a crucial component of GitHub's ongoing exploration into Agentic Workflows, enhancing their security and control.

AMD Skills: Empowering AI Agents with AMD's Optimized Software Stack
AMD Skills is the official catalog of AI agent skills from AMD, designed to empower AI agents with optimized software for AMD hardware. This repository provides knowledge, scripts, and conventions for working with AMD's stack, enabling seamless integration with major coding agents like Cursor, Claude Code, OpenAI Codex, and Gemini CLI.

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Agentrooms: Multi-Agent Claude Code Orchestration Desktop App
Agentrooms is a desktop application and API designed for multi-agent Claude Code orchestration. It enables users to coordinate both local and remote agents through an intuitive @mentions system, streamlining complex development workflows. This tool facilitates collaborative development by routing tasks to specialized agents, all while leveraging your existing Claude subscription without requiring additional API keys.

Modular Platform: A Unified AI Development and Deployment Solution
The Modular Platform is an open, fully-integrated suite of AI libraries and tools, including MAX and Mojo, designed to accelerate model serving and scale GenAI deployments. It abstracts hardware complexity, enabling industry-leading GPU and CPU performance for popular open models without code changes. This powerful platform simplifies AI development and deployment for developers.
brightdata-mcp: Empowering AI with Real-time Web Access and Data Scraping
The brightdata-mcp is a powerful Model Context Protocol (MCP) server developed by Bright Data, designed to give AI agents real-time web access. It provides an all-in-one solution for seamless public web interaction, ensuring Large Language Models (LLMs) can access live information without encountering blocks or CAPTCHAs. This open-source project offers robust web scraping, browser automation, and data extraction capabilities.
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