8 Best botpress Alternatives in 2026 (Open Source)
botpress — The open-source hub to build & deploy GPT/LLM Agents ⚡️.
These 8 open-source tools do the same job. They are ordered by how closely they match botpress, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| botpress(original) | 14.9k | +49 | 2026-09-29 |
| Hexabot | 1.3k | +55 | 2026-08-20 |
| Chaindesk | 3.0k | +4 | 2024-06-17 |
| Dialoqbase | 1.8k | +1 | 2026-06-29 |
| LLMStack | 2.3k | +2 | 2024-12-11 |
| Langflow | 155.4k | +1,457 | 2026-09-29 |
| Dify | 157.6k | +3,668 | 2026-09-30 |
| iX | 1.0k | +0 | 2024-03-03 |
| AutoGen | 61.2k | +794 | 2026-04-06 |
1. Hexabot
Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease.
What sets it apart: vs Botpress/Rasa: open-source visual chatbot builder with built-in multi-LLM support, multi-channel deployment, and knowledge base — complete platform not just a framework
Best for: Teams building multi-channel AI chatbots with visual flow editor; Organizations needing self-hosted chatbot with human handover
2. Chaindesk
The no-code platform for building custom LLM Agents
What sets it apart: vs Botpress/Voiceflow: no-code LLM agent builder with semantic search — evolved into Chaindesk managed platform for production chatbot deployment
Best for: Non-technical users wanting to build LLM-powered chatbots; Quick customer support bot prototyping; Teams evaluating no-code LLM agent platforms
3. Dialoqbase
Create chatbots with ease
What sets it apart: vs Botpress/Rasa: open-source no-code chatbot builder with multi-LLM provider flexibility + multi-platform deployment (web, Telegram, Discord, WhatsApp) + PostgreSQL vector search — all self-hosted
Best for: Quickly building custom chatbots from proprietary knowledge bases; Teams wanting multi-platform chatbot deployment (Telegram, Discord, web); Experimenting with different LLM providers for chatbot use cases
4. LLMStack
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
What sets it apart: vs Flowise / Dify: no-code AI platform with multi-tenant support, built-in vector DB, and Slack/Discord integration — deploy AI agents from Google Drive/Notion data without writing code
Best for: Non-developers wanting to build AI agents and chatbots without coding; Teams needing multi-LLM chain workflows with data integration; Organizations wanting self-hosted AI platforms with multi-tenant support
5. Langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
What sets it apart: Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture
Best for: Rapid prototyping of AI agent workflows with visual builder; Non-developers building LLM applications without coding
6. Dify
Production-ready platform for agentic workflow development.
What sets it apart: Unlike LangGraph (code-first orchestration), Dify offers a complete visual IDE combining workflow builder, RAG pipeline, prompt engineering, and production monitoring in one platform — the Vercel of LLM apps
Best for: Teams building RAG-powered chatbots and AI apps with visual workflow and no backend coding; Product teams who need LLMOps monitoring alongside app development in one platform
7. iX
Autonomous GPT-4 agent platform
What sets it apart: vs LangChain/AutoGen: visual no-code drag-and-drop editor with native multi-agent orchestration and horizontal worker scaling — design complex agent workflows visually instead of writing code
Best for: Building custom multi-agent teams with visual no-code editor; Rapid prototyping of AI workflows without coding; Organizations needing self-hosted parallel agent execution at scale
8. AutoGen
A programming framework for agentic AI
What sets it apart: Microsoft's layered multi-agent framework (Core/AgentChat/Extensions) with no-code Studio, .NET support, and MCP integration — most enterprise-backed open-source agent framework
Best for: Building multi-agent AI systems with complex orchestration; Teams prototyping agent workflows with no-code Studio; Cross-language (Python/.NET) agent applications