8 Best Dialoqbase Alternatives in 2026 (Open Source)
Dialoqbase — Create chatbots with ease. 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
These 8 open-source tools do the same job. They are ordered by how closely they match Dialoqbase, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Dialoqbase(original) | 1.8k | +1 | 2026-06-29 |
| OpenChat | 5.2k | +-5 | 2024-02-27 |
| Chaindesk | 3.0k | +4 | 2024-06-17 |
| Hexabot | 1.3k | +55 | 2026-08-20 |
| RasaGPT | 2.5k | +0 | 2023-05-18 |
| LLMStack | 2.3k | +2 | 2024-12-11 |
| botpress | 14.9k | +49 | 2026-09-29 |
| DocsGPT | 18.3k | +80 | 2026-09-30 |
| RAGapp | 4.4k | +6 | 2024-11-04 |
1. OpenChat
LLMs custom-chatbots console ⚡
What sets it apart: vs Chatbase/CustomGPT: self-hosted open-source chatbot platform with unlimited memory, codebase ingestion for pair programming, and embeddable website widgets — own your data without SaaS vendor lock-in
Best for: Building knowledge-base chatbots from company documents; Website customer support widgets with custom data; Pair programming assistance using codebase context
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. 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
4. RasaGPT
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
What sets it apart: First headless LLM chatbot platform combining Rasa conversational AI framework with LangChain/LlamaIndex for RAG-powered bots
Best for: prototyping-llm-chatbots-on-rasa; learning-rasa-llm-integration; building-rag-chatbots
5. 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
6. botpress
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Best for: Teams building production chatbots with multi-channel deployment; Organizations needing both visual and code-based bot development; Enterprises deploying AI assistants across WhatsApp, Slack, Messenger, and web
7. DocsGPT
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Best for: Enterprise teams building private document Q&A systems; Organizations needing on-premise AI deployment with data privacy control; Teams requiring multi-format document ingestion including audio workflows
8. RAGapp
The easiest way to use Agentic RAG in any enterprise
Best for: Enterprise teams needing self-hosted RAG with simple configuration UI; Organizations with data privacy requirements who can't use cloud AI services; Teams wanting OpenAI custom GPT-like experience on their own infrastructure