AgentX
Create a multi-model AI agent with your own data. Leverage LLM ChatGPT, GPT4, Gemini, Anthropic, or more. Instantly deploy your AI agent to any of your web builders such as WordPress, Webflow, Shopify, Squarespace, and more. Present next-generation artificial intelligence chatbot. Build and give your AI agent a name, define its bio, describe his duty, and provide knowledge of your choice. Build your ChatGPT with no code needed to build. Teach your AI agent in natural language with no code needed. Tune it to fit your needs in real time. We support multi-channel integration and deploy customized ChatGPT to Slack, WhatsApp, email, text, and more. Empower your business with AI agent customized ChatGPT. Users can like, subscribe, and chat with community agents created by other users, and of course, you can share yours. AgentX provides a multi-model mix-match building experience. You can choose LLM (large language model) from different vendors.
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Timbal
Timbal is the end-to-end AI ecosystem for enterprises; a production AI platform that enterprise teams use to build, deploy, and govern agents, workflows, interfaces, and knowledge bases on the models they choose. Teams can define behavior in code or in Studio, run on the model and provider of their choice, and ship to chat, email, voice, and product UI from a single runtime. Timbal brings together the full production stack: a typed Python framework, a Studio for building visually, a runtime that orchestrates agents and workflows, governance and evals for enterprise rollout, and integrations with the systems teams already use. Agents provide autonomous AI for real work with reasoning, tools, and memory, while workflows create deterministic AI pipelines that chain steps, branch on logic, retry failed steps, stream outputs, and guarantee outcomes. Interfaces let teams ship custom AI experiences from chat to dashboards to voice, and knowledge bases connect company context.
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AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.
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Dabe
Dabe is a no-code AI automation platform that empowers users to create custom AI “teammates” by simply describing tasks in plain English, with zero coding or setup required. It connects seamlessly across 250+ to 350+ apps, including popular tools like Gmail, Slack, and Notion, and automatically generates workflows that run continuously, handling retries autonomously and notifying users when human intervention is needed. It features a visual workflow builder for designing agent behavior, along with a template library that accelerates setup. Users can scale effortlessly by deploying unlimited AI agents, each capable of operating independently, while retaining full control over data and task permissions. This intuitive, natural language interface transforms repetitive workflows into automated processes anyone on the team can manage.
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