8 Best OpenChat Alternatives in 2026 (Open Source)
OpenChat — LLMs custom-chatbots console ⚡. 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
These 8 open-source tools do the same job. They are ordered by how closely they match OpenChat, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| OpenChat(original) | 5.2k | +-5 | 2024-02-27 |
| AnythingLLM | 66.6k | +1,564 | 2026-09-30 |
| Casibase | 5.7k | +191 | 2026-09-29 |
| DocsGPT | 18.3k | +80 | 2026-09-30 |
| LLMStack | 2.3k | +2 | 2024-12-11 |
| Chaindesk | 3.0k | +4 | 2024-06-17 |
| Hexabot | 1.3k | +55 | 2026-08-20 |
| Dialoqbase | 1.8k | +1 | 2026-06-29 |
| RAGapp | 4.4k | +6 | 2024-11-04 |
1. AnythingLLM
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
What sets it apart: Unlike Open WebUI (chat-only) or RAGFlow (enterprise RAG focus), AnythingLLM is the most complete all-in-one desktop AI app combining RAG, no-code agent builder, MCP compatibility, multi-user support, and embeddable widgets — requiring zero coding to set up a private AI workspace.
Best for: Non-technical users who want a private, all-in-one ChatGPT replacement with document chat and agents; Small teams needing a self-hosted multi-user AI workspace with RAG and agent capabilities
2. Casibase
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch
What sets it apart: vs other knowledge base platforms: Enterprise-grade open-source AI Cloud OS with built-in SSO (Casdoor), admin UI, MCP/A2A agent management, and support for 10+ LLM providers out of the box
Best for: Enterprise teams needing a self-hosted AI knowledge base with admin UI; Organizations requiring SSO and user management for AI chatbots; Multi-model AI platform deployment with MCP/A2A support
3. 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
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. 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
6. 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
7. 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
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