Top 10 Best Agent Scripting Software of 2026

LangChain is an open-source framework for developing applications powered by large language models, with a strong focus on building autonomous AI agents. It enables developers to script complex agent behaviors using modular components like chains, tools, memory, and reasoning loops, allowing agents to plan, reason, and execute multi-step tasks. Key strengths include seamless integrations with over 100 LLMs, vector stores, and external APIs, making it ideal for agentic workflows in production environments.

CrewAI is an open-source Python framework designed for orchestrating multi-agent AI systems, enabling developers to create collaborative 'crews' of autonomous agents with defined roles, goals, and tools. It excels in scripting complex workflows where agents delegate tasks, communicate, and execute hierarchically or sequentially to solve intricate problems. Ideal for applications like research automation, content creation, and business process optimization, it integrates seamlessly with various LLMs and external tools.

LlamaIndex is an open-source data framework designed for building LLM-powered applications, with a strong emphasis on retrieval-augmented generation (RAG) pipelines that connect large language models to custom data sources. It enables developers to ingest, index, and query diverse data types efficiently, while also supporting agentic workflows through ReAct agents, tool integration, and routers for scripted decision-making. As a #3 ranked agent scripting solution, it excels in data-heavy agent scenarios but is more retrieval-focused than pure multi-agent orchestration tools.

Microsoft AutoGen is an open-source framework designed for building multi-agent conversational AI systems using large language models (LLMs). It enables developers to create customizable agents that collaborate autonomously on complex tasks through orchestrated conversations, tool usage, and human-in-the-loop interactions. AutoGen supports a wide range of LLMs, local models, and advanced features like group chats and code execution, making it ideal for agentic workflows.

Semantic Kernel is an open-source SDK from Microsoft that simplifies building AI-powered agents and applications by providing abstractions for prompts, chains, memory, plugins, and planners. It supports integration with various AI models from providers like OpenAI, Azure AI, and Hugging Face across .NET, Python, and Java runtimes. Designed for developers, it enables orchestration of complex agent behaviors, task decomposition, and semantic memory management to create intelligent, scalable systems.

Haystack is an open-source Python framework by deepset for building modular AI pipelines, with a strong focus on Retrieval-Augmented Generation (RAG), semantic search, and question answering systems. It enables agent scripting through Agent components that orchestrate tools, retrievers, LLMs, and memory for task automation and conversational AI. While versatile for knowledge-intensive agents, it shines in production-scale search applications rather than general-purpose multi-agent orchestration.

Flowise is an open-source low-code platform for building LLM-powered applications, including AI agents, through a drag-and-drop visual interface. It enables agent scripting by allowing users to assemble chains, tools, memory modules, and retrieval systems without extensive coding. Primarily focused on conversational AI and agent workflows, it supports integration with numerous LLMs, vector stores, and external tools for prototyping and deployment.

Rasa is an open-source framework for building conversational AI agents, chatbots, and virtual assistants using machine learning for natural language understanding (NLU) and dialogue management. It allows developers to script complex conversation flows through stories, rules, forms, and custom actions, with support for multi-turn dialogues and contextual responses. The platform includes Rasa Open Source for core functionality, Rasa X for interactive training and testing, and enterprise options for scalable deployments.

Botpress is an open-source platform designed for building sophisticated chatbots and AI agents using a visual studio interface. It enables agent scripting through drag-and-drop flows, custom JavaScript nodes, and seamless integrations with LLMs like OpenAI and Anthropic. The tool supports multi-channel deployment, knowledge bases, and complex decision-making logic, making it suitable for enterprise-grade conversational AI.

Voiceflow is a no-code platform designed for building, prototyping, and deploying conversational AI agents for voice assistants, chatbots, and messaging apps. It features a visual drag-and-drop interface to script complex conversation flows, incorporating logic, variables, APIs, and NLU elements. The tool supports collaboration, analytics, and seamless publishing to channels like Alexa, Google Assistant, web widgets, and WhatsApp.