langflow-ai/langflow Alternatives

Choose for a self-hostable visual automation platform with hundreds of integrations and a mature workflow engine, noting its non-standard license.

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Choose for a self-hosted visual workflow automation platform with extensive integrations and a large community, but check its fair-code license.

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

Choose for a comprehensive visual agent development platform with rich built-in plugins and deployment options from ByteDance.

An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.

Choose for code-first stateful agent graphs with fine-grained control, if you prefer a lightweight library over a visual GUI.

Build resilient agents.

Choose for an embedded Python library that combines semantic search and LLM workflows, without needing a visual interface.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Choose for a code-first multi-agent framework supporting Python and .NET, if you don't need a visual builder.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Choose for a code-first Python toolkit from Google with strong agent evaluation capabilities.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Choose for a code-first platform to build and manage agent platforms, especially for production.

Build, run, and manage agent platforms.

Choose for a popular Python framework for role-based collaborative agent teams, code-first.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Choose when you need a JVM-native agent framework for Kotlin/Java codebases.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

Choose when you want a code-first Go toolkit for building agents, especially for Go services.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Choose for a lightweight code-first framework for production multi-agent workflows with a focus on speed.

The fastest way to bring multi-agent workflows to production.

Choose when you need an orchestration and management command center for agents, instead of a drag-and-drop builder.

Agent Orchestration Command Center

Choose for integrated LLM app development with evaluation and monitoring, preferring a code-first or VS Code-based flow.

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Choose when you want a CLI focused on deploying and evaluating agents on Google Cloud, narrower than a general visual builder.

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

Choose when you need a specialized agent platform for financial applications with built-in finance tools.

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models 🚀

Choose when you want a desktop GUI app for running multi-agent harnesses on Rust/Tauri, rather than a web-based builder.

A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.