Awesome AI Agents › Low-Code/No-Code Platforms
Flock is a workflow-based low-code platform designed to rapidly build chatbots, Retrieval-Augmented Generation (RAG) applications, and coordinate multi-agent teams. It leverages powerful frameworks such as LangGraph, LangChain, FastAPI, and NextJS to provide a flexible and efficient environment for creating collaborative agent systems. The platform supports a variety of node types within its workflow system, including Input Nodes, LLM Nodes for large language model processing, Retrieval Nodes for fetching information from knowledge bases, Tool Nodes for executing specific tasks, and Intent Recognition Nodes for automatically identifying user intents and routing workflows accordingly. Additionally, Flock includes Answer Nodes for generating final outputs, Subgraph Nodes for modular and reusable sub-workflows, and Start and End Nodes to define workflow boundaries. Recent updates have introduced advanced features such as MCP Tools Support for integrating Model Context Protocol tools, Parameter Extractor Nodes for structured data extraction, Human-in-the-loop Nodes for human review and interaction, Multimodal Chat Support including image modalities, If-Else Nodes for conditional logic, and Python Code Execution Nodes for custom scripting within workflows. The platform also supports CrewAI Node integration for orchestrating complex multi-agent collaborations. Flock is inspired by and builds upon projects like StreetLamb and incorporates design elements from other open-source projects such as Lobe-chat, Dify, and FastGPT. It aims to provide a comprehensive, low-code solution for developers and businesses to create sophisticated chatbot and agent-based applications with ease, supporting offline operation and modular workflow design. The platform is well-suited for complex business needs, enabling rapid development and deployment of AI-driven conversational and multi-agent systems.
https://github.com/Onelevenvy/flock
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.
Databerry is a no-code platform that enables users to build custom Large Language Model agents without programming skills, making AI development accessible and user-friendly.
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.