Repository History
7 repositories tagged with Agentic AI
tunnel-client: Securely Connect Private MCP Servers to OpenAI Services
The `tunnel-client` is an OpenAI-developed client that enables secure connections between private or localhost Model Context Protocol (MCP) servers and OpenAI services like ChatGPT, Codex, and AgentKit. It allows developers to integrate their internal MCP servers without exposing them to the public internet, ensuring enhanced security and operational control. This tool is ideal for scenarios requiring secure access from private networks to OpenAI's powerful AI models.
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.
Awesome Agent Almanac: A Curated List of AI Agents and Agentic Technology
Awesome Agent Almanac is a comprehensive awesome-list dedicated to AI agents, agent tools, MCP servers, and agentic technology. This community-curated resource provides an extensive collection of innovative projects in the rapidly evolving field of artificial intelligence agents, offering valuable insights for developers and researchers alike.
awesome-agentic-ai: Your Comprehensive Hub for Agentic AI Resources
awesome-agentic-ai is a curated list of resources for learning, building, and mastering Agentic AI systems. This repository serves as a complete hub, offering a learning roadmap, top frameworks, tools, and real-world examples. It's designed for both beginners and experts looking to explore autonomous AI agents.
Strands Agents SDK-Python: Model-Driven AI Agent Development
Strands Agents SDK-Python offers a powerful, model-driven approach to building AI agents with minimal code. It supports a wide range of model providers and advanced capabilities like multi-agent systems and bidirectional streaming, scaling from local development to production. This Python SDK simplifies the creation of intelligent agents for various applications.
LightClaw: A Fast, Local-First AI Assistant in Rust
LightClaw is a fast, local-first AI assistant built in Rust, packaged as a single binary for minimal overhead. Inspired by OpenClaw and Nanobot, it provides agentic tooling, memory, and seamless integration with platforms like Telegram and Discord. This project offers a high-performance, low-footprint solution for an AI assistant without a heavy runtime environment.
Plexe: Build Machine Learning Models from Natural Language Prompts
Plexe is an innovative Python library that empowers developers to build machine learning models using natural language descriptions. It automates the entire model creation process, from intent to deployment, through an intelligent multi-agent architecture. This allows for rapid development and experimentation, making ML accessible and efficient.