Awesome AI Agents › Low-Code/No-Code Platforms
Databerry is a no-code platform designed to enable users to build custom Large Language Model (LLM) agents without requiring programming skills. This platform empowers users to create tailored AI agents that can perform specific tasks or functions by leveraging the capabilities of LLMs. The no-code approach simplifies the process of developing intelligent agents, making it accessible to a broader audience including those who may not have technical expertise in AI or software development. Users can design, configure, and deploy their own LLM agents through an intuitive interface, streamlining the creation of AI-driven solutions for various applications. Databerry aims to democratize AI technology by removing the barriers associated with coding and complex model training, thus fostering innovation and customization in the AI space. The platform is ideal for businesses, educators, and developers who want to harness the power of LLMs to automate tasks, enhance customer interactions, or create unique AI experiences without delving into the underlying technical complexities. Overall, Databerry represents a significant step towards making advanced AI tools more user-friendly and widely accessible, promoting the integration of AI agents into everyday workflows and projects.
https://github.com/gmpetrov/databerry
AnythingLLM is an all-in-one AI application that enables intelligent chat interactions with documents using various large language models, supporting multi-user management, no-code AI agent building, and multi-modal capabilities in both desktop and Docker environments.
NocoBase is an open-source AI + no-code platform that accelerates business system development by combining AI agents with a WYSIWYG no-code interface for speed and reliability.
Maxun is an open-source no-code platform that enables users to create custom robots for automated web data extraction, turning websites into APIs and spreadsheets without coding.
LLMStack is a no-code multi-agent framework for building generative AI agents, workflows, and applications that integrate with your data and business processes, deployable on cloud or on-premise with multi-tenant support and API access.
Source-available agent platform that pairs a drag-and-drop visual builder with a TypeScript SDK kept in two-way sync, plus a configuration API, CLI, chat UI library and OpenTelemetry tracing.
Next.js template for building an AI workflow automation platform, with a React Flow drag-and-drop canvas, prebuilt integrations, execution logs and conversion of workflows into TypeScript code.
Heym is a source-available, self-hosted workflow automation platform where LLMs and agents are the execution model, combining a drag-and-drop canvas with RAG, MCP, human-in-the-loop steps, evals and cost tracking.
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG applications, and coordinating multi-agent teams, featuring modular nodes, human-in-the-loop support, and integration with advanced AI tools.