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AgentShield: Python Firewall for AI Agent Spend Control
AgentShield is a pure Python library designed to prevent runaway AI agents from exceeding budget limits. It offers 10 composable spend rules, evaluated in under 1ms, providing robust cost control. Although its core development has transitioned to sipi.bot, the AgentShield Python package remains available for existing users and its test fixtures are open-source.
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AgentShield: Python Firewall for AI Agent Spend Control
AgentShield is a pure Python library designed to prevent runaway AI agents from exceeding budget limits. It offers 10 composable spend rules, evaluated in under 1ms, providing robust cost control. Although its core development has transitioned to sipi.bot, the AgentShield Python package remains available for existing users and its test fixtures are open-source.
AstronRPA: Open-Source Enterprise RPA Suite with AI Agent Integration
AstronRPA is an open-source, enterprise-grade Robotic Process Automation (RPA) desktop application. It features a low-code, no-code visual designer for building automation workflows across desktop software and web pages. Deeply integrated with AI agents, AstronRPA empowers broader business automation scenarios for both individuals and enterprises.
ADL CLI: Scaffold Enterprise-Ready AI Agents with A2A Protocol
The ADL CLI is a powerful command-line tool designed to rapidly scaffold and manage enterprise-ready AI Agents. It leverages the YAML-based Agent Definition Language (ADL) to generate complete project structures, eliminating boilerplate and ensuring consistent patterns. This tool significantly accelerates the development of AI agents powered by the A2A (Agent-to-Agent) protocol.
Qovira: A Private, Self-Hostable AI Personal Assistant in Go
Qovira is an ambitious project aiming to deliver a private, self-hostable AI personal assistant. Built with Go and SvelteKit, it will organize reminders, notes, and schedules using AI, all on infrastructure you control. Currently in early development, Qovira promises a secure and private alternative to cloud-based AI tools.
Goon: Autonomous AI Worker for Software Development and Custom Workflows
Goon is a self-hosted, autonomous AI worker designed to streamline software development and automate custom workflows. Built with Go and having zero dependencies, it operates as a daemon, capable of tasks from writing code and opening PRs to summarizing emails and monitoring logs. It learns from your context and asks for human approval before acting, ensuring controlled and intelligent automation.
Awesome-Self-Evolving-Agents: A Curated List for AI Agent Research
Awesome-Self-Evolving-Agents is a comprehensive GitHub repository offering a curated collection of resources on self-evolving agents. It includes a systematic survey, research papers, benchmarks, and open-source projects, providing valuable insights into this rapidly advancing field of AI. This repository serves as an essential guide for researchers and developers exploring model-centric, environment-centric, and co-evolutionary approaches.
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skills: Essential AI Agent Skills for Real Engineering
skills by Matt Pocock offers a collection of AI agent skills designed to enhance real-world engineering workflows. These skills address common pitfalls in AI-assisted development, promoting better alignment, conciseness, and code quality. Engineers can leverage these tools to build more robust and maintainable applications with their coding agents.
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.
FastMCP: The Pythonic Framework for Model Context Protocol Applications
FastMCP is a robust, Pythonic framework developed by PrefectHQ, designed to simplify the creation of Model Context Protocol (MCP) servers and clients. It provides a comprehensive application framework for connecting Large Language Models (LLMs) to tools and data, handling complexities like schema generation, validation, and protocol lifecycle. As the standard framework for MCP, FastMCP empowers developers to build powerful LLM-integrated applications efficiently.
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