Awesome GitHub RepositoriesAgent Deployment Platforms

Phidata is an LLM agent framework and agentic workflow orchestrator used to build autonomous agents that integrate custom data, tools, and memory. It provides a production environment for serving these agents as services via APIs, utilizing server-sent events and websockets for real-time communication. The system distinguishes itself through a human-in-the-loop control layer that requires manual approval and administrative sign-off for specific tool executions. It also implements a multi-tenant AI infrastructure that uses token-based roles to ensure data isolation between different tenants.

LangGraph is a framework for building stateful, multi-step agentic workflows by modeling application logic as a directed graph. It provides a runtime environment where complex tasks are orchestrated through interconnected nodes and edges, allowing developers to manage state transitions, persistent memory, and control flow across long-running automated processes. The platform distinguishes itself through its native support for human-in-the-loop automation, enabling developers to define breakpoints that pause execution for manual review, modification, or approval. It also features checkpoint-ba

This project is a large language model persona simulation framework designed to distill individuals into AI personas using professional data and interpersonal context. It functions as a personal knowledge base ingestor and agent configuration manager, allowing for the creation of digital twins that reproduce a specific person's mental models, speaking styles, and professional workflows. The system utilizes a dual-model persona architecture that separates professional work skills from interpersonal personality traits. It distinguishes itself through a multimodal persona generator capable of pr

LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes. The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This

This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva

Empire is a post-exploitation command-and-control (C2) framework designed for red team operations. It deploys and manages agents written in PowerShell, Python, C#, Go, and C across Windows, Linux, and macOS, using encrypted communication channels over HTTP, HTTPS, and SMB. The framework executes over 400 built-in modules for reconnaissance, privilege escalation, credential theft, and lateral movement, and provides a modular engine for authoring custom attack modules. What sets Empire apart is its multi-language agent deployment system, which allows operators to choose implants that suit each

Covenant هو إطار عمل للقيادة والتحكم قائم على .NET مصمم لعمليات الفريق الأحمر ومحاكاة الخصم. يعمل كمنصة تعاونية لتنسيق التقييمات الأمنية، وإدارة الغرسات البعيدة، وتنفيذ المهام على الأنظمة المخترقة من خلال خادم مركزي. يتميز المشروع بمولد حمولة ديناميكي، يقوم بتجميع وتعتيم الملفات التنفيذية والبرامج النصية أثناء التنقل لتجاوز الاكتشاف. كما يتميز ببيئة تعاونية تسمح لمشغلين مصادق عليهم متعددين بمشاركة حالة متزامنة، وتتبع المؤشرات التشغيلية، وإدارة الارتباطات المشتركة داخل واجهة واحدة. يوفر إطار العمل قدرات واسعة لتعتيم حركة المرور، بما في ذلك استخدام ملفات تعريف الشبكة المخصصة، وخطوط أنابيب تحويل البيانات، وترجمة البروتوكول القائمة على الجسر لإخفاء الاتصالات. كما يغطي احتياجات ما بعد الاستغلال مثل استرداد الملفات عن بُعد، وجمع بيانات الاعتماد المركزية، وتطوير وحدات مهام بعيدة مخصصة باستخدام نموذج امتداد المكونات الإضافية. يؤمن النظام الاتصالات بين الخادم والوكلاء باستخدام تثبيت شهادة SSL وتبادلات المفاتيح المشفرة لضمان سرية التوجيه.

OpenAgents is an open-source platform for deploying, managing, and interacting with language agents through a conversational interface. Agents on this platform can analyze data by generating and executing Python and SQL code, invoke external plugins, browse the web autonomously, and perform tasks like flight search, map directions, and social media posting—all driven by natural language. What distinguishes the platform is its architecture for persistent agent lifecycle management, isolated code execution via a sandbox, multi-agent coordination for complex workflows, and automatic plugin disco

The BeeAI Framework is an LLM agent framework and multi-agent orchestration engine used to build autonomous agents that coordinate reasoning, tool execution, and complex workflows. It functions as a structured AI output controller and RAG integration library, providing a unified interface to manage multiple language model providers. The framework is distinguished by its implementation of the Model Context Protocol, allowing agents, tools, and models to be shared between different AI platforms and hosted as agentic tooling servers. It enables the design of collaborative agent teams through dec

The Open Agent Platform is an orchestration environment for building, deploying, and managing autonomous AI agents. It provides a framework for constructing both single-task performers and complex multi-agent systems, utilizing a central supervisor pattern to coordinate collaborative workflows and task delegation. The platform distinguishes itself through a graph-based execution model that defines the sequence of logic and tool calls, paired with a visual configuration interface that allows for the creation of agent workflows without manual coding. It incorporates enterprise-grade security by