Awesome GitHub RepositoriesAgent Plugin Frameworks

Hermes-agent is an autonomous AI agent framework and runtime designed to execute complex tasks and synthesize new skills from execution traces. It includes a provider-agnostic gateway for routing requests across multiple model backends and a serverless runtime that suspends idle agent instances and resumes them on demand across containers and virtual machines. The project provides a desktop automation toolset that controls native GUI workflows on Linux by querying accessibility APIs and injecting input events. It further distinguishes itself with the ability to generate procedural skills from

This project is an automated trading and agentic workflow platform designed to orchestrate complex financial tasks through state-based graphs. It provides a comprehensive framework for building, deploying, and managing autonomous agents that execute multi-step analytical processes, monitor real-time market conditions, and perform high-speed trade execution. The platform distinguishes itself through a robust agentic plugin ecosystem that integrates directly with popular AI-powered development environments and command-line interfaces. It features a specialized financial analysis engine capable

AstrBot is an orchestration framework designed for building and managing autonomous agents that integrate multimodal artificial intelligence with secure, isolated execution environments. It serves as a platform for coordinating complex agentic workflows, allowing users to connect diverse language, speech, and vision models while maintaining personalized agent personas and domain-specific knowledge bases. The platform distinguishes itself through a modular plugin architecture and a centralized visual dashboard, which together enable users to extend agent capabilities and manage operational set

LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections. The platform distinguishes itself through it

This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

Valuecell is an artificial intelligence financial trading platform and market analysis engine. It functions as a multi-exchange trading bot and financial data orchestrator, designed to analyze market data and execute automated trades across global financial exchanges. The system utilizes a modular agent plugin framework that allows for the integration of third-party tools and agents through a shared community registry. It incorporates a retrieval-augmented generation approach to analyze fundamental financial documents and historical patterns, grounding AI responses in factual data. The platf

This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of agents that autonomously solve issues, handle pull requests, and fix CI failures. It functions as an agentic CI/CD automator and parallel workflow manager, coordinating the end-to-end development lifecycle from initial ticket tracking to final code merging. The system is distinguished by its modular plugin framework and isolated worktree management, which allow multiple agents to work on separate coding tasks simultaneously without file system conflicts. It utilizes role-based mo

TinyTroupe is a multi-agent simulation framework designed to create populations of persona-based agents that interact to generate synthetic behavioral data and business insights. It serves as a persona-based agent orchestrator and synthetic data generator, allowing for the definition of agents with specific personality traits and goals to coordinate their interactions through structured workflows. The project features an extensible plugin system for connecting simulated agents to external tools and servers to execute code and access remote data. It includes an agentic simulation dashboard tha

SerpentAI is a game AI development kit and computer vision framework designed for building autonomous agents that interact with video games. It serves as a game input automation tool and a machine learning model integration engine, allowing developers to create agents that perceive game states and execute actions. The framework utilizes a plugin-based agent architecture to provide modular extensions for game-specific logic and behaviors. It features a specialized system for training, bundling, and deploying machine learning classifiers to recognize visual contexts and game states in real time

Claudecodeui is an open-source web interface that orchestrates multiple AI coding agents from different providers—including Claude Code, Cursor CLI, Codex, and Gemini CLI—side by side in isolated cloud environments. It functions as a multi-provider orchestration platform, allowing users to run agents from different tools within the same workspace without being locked into a single vendor. The platform runs each agent session inside a hypervisor-level Docker sandbox that isolates filesystem, network, and process access, with sessions persisting in the cloud to survive network disconnection or

TaskWeaver is an LLM agent framework that interprets natural language requests and executes them as Python code, SQL queries, or shell commands. It functions as a conversational code interpreter that maintains stateful data structures across turns, generating executable code from user prompts within a session-based environment. The system is designed as a self-hosted AI agent platform that can be deployed in Docker, managing sessions and providing a web UI for data analytics and automation tasks. The framework distinguishes itself through a role-based multi-agent architecture that divides the

MaiBot 是一个智能对话代理和基于插件的框架，旨在模拟真实的人类个性和数字陪伴。它作为一个多平台消息机器人，通过标准化的适配器系统将中央代理连接到各种即时通讯服务。 该项目的独特之处在于使用知识图谱记忆系统来保持一致的人格和长期用户画像。它还充当工具编排器，协调多轮推理和外部工具调用，以管理对话的自然节奏和流程。 该框架包括一个可扩展的架构，具有发布-订阅事件模型和支持热重载的多进程插件系统。其功能涵盖语言风格分析、媒体资产的视觉表达管理，以及用于路由消息的基于 Hook 的处理流水线。 系统管理（包括模型配置和插件管理）通过集中的 Web 界面进行处理。

This repository is a reference implementation and guided tutorial for building an AI coding agent that combines conversational interaction with file system manipulation and sandboxed shell execution. The agent uses a large language model as its core decision-making component, operating within a turn-based conversational loop where it can generate responses or invoke tools, and tool results are fed back into the dialogue. It provides primitives for reading, writing, and listing files on the local filesystem, as well as searching code using regular expressions. The agent’s capabilities are exte

Lucida 是一个多模态 AI 助手框架和容器化微服务编排器。它提供了一个用于构建智能体的平台，这些智能体处理并集成语音、视觉和文本输入以执行智能任务，并由检索增强生成 (RAG) 系统支持，用于从文本、URL 和图像中存储和查询事实数据。 该框架具有状态图工作流引擎，使用预定义的状态机通过一系列微服务路由用户请求。它还包含一个可扩展的插件接口，允许集成用于学习和推理的自定义功能模块。 系统涵盖了广泛的功能领域，包括智能任务自动化、个人知识管理和多模态数据处理。它支持通过容器和 Kubernetes 部署这些服务，并通过 REST API 和各种消息渠道公开功能。

Osaurus is a local AI workflow engine and LLM agent orchestration framework designed for private execution on local hardware. It functions as a desktop application automator and a voice-controlled AI interface, enabling the development of autonomous agents that can write code, execute tools, and operate a computer without keyboard or mouse input. The system is distinguished by its ability to control native desktop applications via accessibility APIs and manage web interactions through a headless browser automation tool. It supports a local-first execution model and on-premises deployment with