7 Best Open Source Rasa Alternatives
A curated collection of the 7 best open source and self-hosted alternatives to Rasa in 2026.
Looking for a free, privacy-friendly, or self-hosted replacement for Rasa in 2026? The top open-source alternative is Parlant — A conversational AI server that manages agent behavior through context-aware guidelines, keeping responses consistent, auditable, and aligned at scale..
Other highly rated open-source Rasa alternatives include Botpress, Typebot and Hexabot.
A conversational AI server that manages agent behavior through context-aware guidelines, keeping responses consistent, auditable, and aligned at scale.
A conversational AI server that manages agent behavior through context-aware guidelines, keeping responses consistent, auditable, and aligned at scale.
Enterprise-grade AI agent platform for customer support
Botpress is an enterprise-grade AI agent platform designed for customer support, enabling businesses to build, deploy, and scale AI agents without technical limitations or per-seat pricing. The platform automates complex workflows such as refunds, account updates, and multi-step processes, reducing reliance on human agents while maintaining high accuracy. - AI Agent Studio: Visual builder for creating and managing AI agents with no-code/low-code flexibility. - Botpress Engine: Core AI infrastructure that powers agent capabilities and scalability. - Knowledge Bases: Centralized repositories for storing and retrieving contextual information to improve agent responses. - Tables: Structured data management for organizing and querying agent-related data efficiently. - Botpress Desk: AI-powered helpdesk for complex support scenarios, integrating seamlessly with tools like Zendesk and Intercom. - Multi-Channel Deployment: Supports webchat, WhatsApp, Slack, and other platforms for broad accessibility. - Enterprise-Grade Security: SOC 2 compliant with robust data protection measures. - No Per-Seat Costs: Transparent pricing model without additional fees for agent interactions. Botpress is primarily a cloud-based platform with enterprise-grade features. While the core platform is managed by Botpress, it offers extensive API integrations and customization options for developers. Self-hosting is not explicitly supported, but the platform provides APIs and SDKs for deep integration into existing workflows and systems. The open-source components are available on GitHub for community contributions and transparency.
No-code chatbot builder for websites & WhatsApp
Typebot is a no-code platform that enables you to effortlessly create and integrate advanced chatbots into websites and chat platforms like WhatsApp. Build conversational interfaces with customizable blocks, deploy seamlessly across multiple channels, and analyze performance with detailed analytics. - No-Code Builder: Create chatbots using 45+ building blocks including text, images, videos, buttons, date pickers, and payment inputs. - Multi-Channel Deployment: Deploy bots via custom domains, embedded containers, popups, chat bubbles, or WhatsApp. - AI Integrations: Connect with OpenAI, Google Sheets, Zapier, and other tools for enhanced functionality. - Advanced Theming: Customize fonts, colors, shapes, and shadows with reusable templates. - Real-Time Analytics: Track drop-off rates, completion rates, and export data to CSV for deeper analysis. - Cross-Department Use: Automate conversations for marketing, support, product, and sales teams. - Open Source Core: 100% open source with no vendor lock-in and easy-to-use APIs. - Scalable & Reliable: Built for performance with support for multiple generative AI providers. Typebot is open source and can be self-hosted. The platform provides APIs for quick implementation and supports multiple AI providers for generative capabilities. Documentation and community resources are available for deployment and customization.
Hexabot is an open-source platform for creating intelligent, multilingual chatbots without coding complexity.
Hexabot is an open-source platform for creating intelligent, multilingual chatbots without coding complexity.
Privacy-focused modern web browser
Flow Browser is a modern, privacy-focused web browser designed for speed, security, and seamless browsing. With a minimalist interface and powerful features, it enhances productivity while prioritizing user privacy. - Privacy-First: Built-in adblocker and tracker protection for a cleaner browsing experience. - Multiple Profiles: Separate settings and extensions for different user profiles. - Spaces & Pinned Tabs: Organize tabs into spaces and pin frequently used ones for quick access. - Command Palette: Quick access to browser features via keyboard shortcuts. - Offline Games: Built-in games for entertainment without an internet connection. - Chrome Extensions Support: Full compatibility with Chrome Web Store extensions. - Widevine Support: Stream DRM-protected content from services like Netflix. - Sleep Tabs: Reduce resource usage by putting inactive tabs to sleep. - Customizable UI: Personalize app icons and interface to fit your workflow. Flow Browser is a desktop application available for Windows, macOS, and Linux. It does not require self-hosting as it is a client-side application. The source code is open-source and available on GitHub.
Low-code AI builder for agentic and RAG applications
Langflow is a visual, low-code platform designed to simplify the creation and deployment of AI agents and Retrieval-Augmented Generation (RAG) applications. Whether you're a developer or a non-technical user, Langflow provides a drag-and-drop interface to build complex AI workflows with reusable components and pre-built flows. - Visual AI Builder: Drag-and-drop interface to design AI agents and RAG workflows without writing boilerplate code. - Multi-LLM & Vector Database Support: Integrates with all major LLMs (e.g., Llama, Mistral, OpenAI) and vector databases (e.g., Pinecone, Weaviate, Qdrant). - Pre-Built Components & Flows: Access a growing library of reusable components and templates to accelerate development. - Python Customization: Extend functionality with Python for full control over AI workflows. - Enterprise-Grade Cloud Deployment: Deploy agents on a secure, scalable cloud platform or self-host for full control. - Collaboration & Sharing: Share flows, collaborate in real-time, and manage projects with teams. - MCP Server Support: Build and deploy Model Context Protocol (MCP) servers for advanced AI integrations. - Open Source & Free Cloud Tier: Available as open-source software with a free cloud tier for quick deployment. Langflow is open-source and can be self-hosted using Docker or deployed via its cloud platform. It supports Python-based customization and integrates seamlessly with existing tools and APIs. The platform is designed for scalability, making it suitable for both small projects and enterprise deployments.
Open-source platform for building enterprise-grade agents
MaxKB (Max Knowledge Brain) is an open-source platform designed for building enterprise-grade AI agents. It integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. - RAG Pipeline: Direct document uploads, automatic text splitting, vectorization, and RAG to reduce hallucinations and enhance smart Q&A interactions. - Agentic Workflow: Powerful workflow engine with function libraries and MCP tool-use for orchestrating complex AI processes. - Seamless Integration: Zero-coding integration into third-party business systems to quickly add intelligent Q&A capabilities. - Model-Agnostic: Supports various large models, including private (DeepSeek, Llama, Qwen) and public (OpenAI, Claude, Gemini) models. - Enterprise-Grade: Built for intelligent customer service, corporate knowledge bases, academic research, and education. MaxKB is open-source and can be self-hosted. It is developed by 1Panel, a Hong Kong-based company, and supports deployment flexibility across different environments.
About Rasa
Rasa is the developer platform for building enterprise-grade AI agents that extend LLMs with your business logic, structured flows, and deterministic recovery patterns. Designed for real-world use cases across customer support, sales, operations, and voice interactions, Rasa provides full control over agent behavior while ensuring compliance and reliability.
Key Features of Rasa
- CALM Architecture: Extends LLMs with structured flows and deterministic logic for reliable agent behavior
- Multi-Channel Support: Deploy agents across chat, voice, and other channels with enterprise-grade infrastructure
- Enterprise RAG: Real-time data retrieval with verifiable, fresh answers aligned to trusted sources
- Agentic AI: Create agents that take initiative and adapt to complex scenarios
- Multilingual Capabilities: Agents that adapt to language, tone, and context globally
- Orchestration: Coordinate multiple agents and tools for optimal user assistance
- MCP Integration: Standardized way for agents to connect with APIs as tools
- Developer Edition: Free access to Rasa with CALM for building and testing agents
Tech / Self-Hosting
Rasa is available as a cloud platform with enterprise features, while the Developer Edition allows local development and testing. The platform supports integration with existing systems through APIs and MCP servers. For production deployments, Rasa provides infrastructure management tools and professional services for enterprise-scale implementations.