OSRepos

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.

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.