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Basic Information

Nekro Agent is an extensible, developer-focused framework for building multi-person interactive AI agents and chatbots that combine LLM-driven code generation with sandboxed execution. It is designed to connect to many external chat and streaming platforms via adapter modules so developers implement platform-specific input/output while the core engine handles message dispatch, channel management, plugin execution and sandbox RPC. The project targets scenarios from emotional companionship to complex task automation and multi-AI collaboration. The repo includes an adapter architecture, plugin and persona systems, a visual WebUI for management, support for multi-modal inputs like images and files, and deployment scripts using container orchestration. It aims to centralize agent logic, provide safe code execution, and offer cloud-shared plugins and personas for rapid composition and reuse.

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App Details

Features
Nekro Agent provides a modular adapter layer with native support examples such as OneBot v11 (QQ), Discord, Minecraft and Bilibili Live plus SSE+SDK. It features LLM-guided code generation executed inside a secure containerized sandbox and RPC interfaces to interact with real environments. A plugin ecosystem and cloud marketplace enable extension with callbacks, prompt injections and custom sandbox methods. The engine is event-driven and asynchronous, supports multi-modal inputs (images, files), persona and memory capabilities, automatic error correction and feedback mechanisms, scheduled tasks, hot-reload of configuration, and a WebUI for visual monitoring and management. One-click deployment scripts and docker-compose orchestration simplify installation.
Use Cases
For developers and operators, Nekro Agent reduces integration overhead by separating adapters from core logic so teams can focus on platform bindings while the framework manages dispatch, plugins and safe code execution. It lowers implementation cost by providing reusable plugins, cloud-shared personas and a visual control panel for monitoring and tuning agent behavior. The sandbox and RPC capabilities enable practical automation that runs generated code safely. Multi-modal support and event-driven architecture allow handling richer user interactions and platform events. Use cases documented include emotional companionship, data and file processing, creative and development assistance, automation and multi-AI collaboration, and education or everyday assistant scenarios, enabling rapid prototyping to production deployment.

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