Autonomais is a modular AI agent framework designed for full autonomy in task planning and execution. It integrates large language models to generate plans, orchestrates actions via a customizable pipeline, and stores context in memory modules for coherent multi-step reasoning. Developers can plug in external tools like web scrapers, databases, and APIs, define custom action handlers, and fine-tune agent behavior through configurable skills. The framework supports logging, error handling, and step-by-step debugging, ensuring reliable automation of research tasks, data analysis, and web interactions. With its extensible plugin architecture, Autonomais enables rapid development of specialized agents capable of complex decision-making and dynamic tool usage.

LangBot is a self-hosted, open-source platform that enables seamless integration of large language models into multiple messaging channels. It offers a web-based UI for deploying and managing bots, supports model providers including OpenAI, DeepSeek, and local LLMs, and adapts to platforms such as QQ, WeChat, Discord, Slack, Feishu, and DingTalk. Developers can configure conversation workflows, implement rate limiting strategies, and extend functionality with plugins. Built for scalability, LangBot unifies message handling, model interaction, and analytics into a single framework, accelerating the creation of conversational AI applications for customer service, internal notifications, and community management.

LobeChat provides a unified chat UI for popular large language models, allowing users to switch between ChatGPT, Claude, Gemini and more without leaving the platform. It features cloud-based message synchronization, custom assistant creation, and a plugin framework to extend functionality—covering text, image, video and voice AI tasks. With built-in workflow automation and multi-modal support, users can automate repetitive tasks, enhance creativity and manage diverse AI agents in one place.