No-Code Agent Builders

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Production-ready platform for agentic workflow development.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

Build AI Agents, Visually

Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

PraisonAI 🦞 - Your 24/7 AI employee team. Automate and solve complex challenges with low-code multi-agent AI that plans, researches, codes, and delivers to Telegram, Discord, and WhatsApp. Handoffs,

A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface

Visual testing tool for MCP servers

The platform for LLM evaluations and AI agent testing

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

Low-code framework for building custom LLMs, neural networks, and other AI models

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

An open-source visual programming environment for battle-testing prompts to LLMs.

The no-code platform for building custom LLM Agents

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...

Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用

Visualization and debugging tool for LangChain workflows

LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.