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Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to coordinate specialized agents through shared workspaces and structured task lists. It functions as an agentic application bootstrapper and technical specification engine, providing the infrastructure to guide the process from product requirements to automated coding and deployment. The system distinguishes itself through spec-driven development, using detailed technical specifications and layered context injection to ensure generated code aligns with project standards. It employs a ma
gogcli is a single command-line binary that manages Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Apps Script, Contacts, People, Tasks, Classroom, Chat, Groups, Keep, and Workspace Admin services through a predictable service resource method grammar. It authenticates across multiple Google accounts using OAuth, service accounts, access tokens, or application default credentials, storing credentials in the OS keyring for secure persistence. The tool also exposes a Model Context Protocol server over stdio that registers typed tools for agent clients, and can invoke any Google Discovery-
Agent Squad is an LLM multi-agent orchestration framework designed to coordinate specialized agents to solve complex tasks. It functions as a system for managing agent teams and supervisors, utilizing a supervisor-led orchestration model to decompose large problems into manageable steps. The framework distinguishes itself through a combination of intent-based query routing and human-in-the-loop automation. It employs a hierarchical routing system to direct requests to the most appropriate agent or model, while integrating asynchronous messaging queues to route complex cases to human operators
This project is a comprehensive security platform providing an LLM security orchestration framework, an AI agent firewall, and tools for vulnerability remediation, compliance automation, and endpoint protection. It functions as a centralized system to protect AI models from adversarial exploits while managing the identification and patching of software flaws. The platform distinguishes itself through the coordination of specialized AI agents to automate complex security workflows, including reconnaissance, bug hunting, and exploit development. It implements dedicated guardrails to block promp
SEO Machine is an open-source content workflow tool that orchestrates a multi-agent pipeline to research, write, optimize, and publish SEO-friendly articles. It coordinates specialized AI agents in sequence, handling everything from keyword research and competitor analysis through long-form article generation, content health scoring, and direct CMS publishing.
The main features of thecraighewitt/seomachine are: Content Generation Agents, AI Voice and Style Guidelines, Content Health Scorers, SEO-Optimized Article Generators, Multi-Agent Orchestrators, REST API Publishers, Content Brief Generators, Brand Voice Preservers.
Projects with overlapping indexed features include: buildermethods/agent-os — Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to… steipete/gogcli — gogcli is a single command-line binary that manages Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Apps Script,… 2fastlabs/agent-squad — Agent Squad is an LLM multi-agent orchestration framework designed to coordinate specialized agents to solve complex… atmosphere/atmosphere — Atmosphere is a Java-based framework for building and coordinating AI agents. It provides a real-time transport layer… ag2ai/ag2 — AG2 is a multi-agent large language model orchestration framework, agentic workflow automation tool, and RAG-enabled… 0x4m4/hexstrike-ai — This project is a comprehensive security platform providing an LLM security orchestration framework, an AI agent…