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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.
tigergraph-graphrag
mcp-gateway: Unifying AI Tool Access with Reduced Context Overhead
mcp-gateway is a powerful Rust binary designed to streamline AI agent interaction with diverse tools. It consolidates unlimited MCP servers and REST APIs behind a single, compact endpoint, drastically reducing context token overhead and enabling efficient tool access.
code-session-memory: Automatic Vector Memory for AI Coding Sessions
code-session-memory provides automatic vector memory for various AI coding tools like OpenCode, Claude Code, Cursor, VS Code, Codex, and Gemini CLI. It indexes new messages into a vector database after each AI agent turn, enabling semantic search across all your past coding sessions. This tool ensures memory is shared across different platforms, enhancing developer productivity.
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.
Awesome AI Agent Attacks: A Curated Timeline of AI Security Incidents
The Awesome AI Agent Attacks repository provides a meticulously curated timeline of real-world AI agent security incidents, breaches, and vulnerabilities from 2024 to 2026. Each entry is thoroughly sourced and dated, offering a factual overview of the evolving threat landscape in agentic AI. It serves as an essential resource for understanding the practical implications of AI security.
Jan: An Open-Source, Offline ChatGPT Alternative for Your Desktop
Jan is a powerful open-source desktop application that provides a 100% offline alternative to ChatGPT. It allows users to download and run various large language models locally, ensuring complete control and privacy over their AI interactions. With support for multiple platforms, Jan offers a robust solution for personal and private AI use.
Cloudflare Computer: Give Your Agent a Virtual Filesystem
Cloudflare Computer is an innovative project that provides a virtual filesystem within a Durable Object, allowing agents to interact with a persistent state. It offers pluggable execution backends, including containerized Linux environments and serverless Workers, enabling flexible and powerful agent computing. Currently in preview, it's ideal for experiments and prototypes leveraging Cloudflare's edge infrastructure.
ADR: Uber's Enterprise Security System for AI Agents
ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.
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.
