8 Best Chaindesk Alternatives in 2026 (Open Source)
Chaindesk — The no-code platform for building custom LLM Agents. vs Botpress/Voiceflow: no-code LLM agent builder with semantic search — evolved into Chaindesk managed platform for production chatbot deployment
These 8 open-source tools do the same job. They are ordered by how closely they match Chaindesk, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Chaindesk(original) | 3.0k | +4 | 2024-06-17 |
| Flowise | 55.5k | +697 | 2026-08-13 |
| LLMStack | 2.3k | +2 | 2024-12-11 |
| Hexabot | 1.3k | +55 | 2026-08-20 |
| OpenChat | 5.2k | +-5 | 2024-02-27 |
| AnythingLLM | 66.6k | +1,564 | 2026-09-30 |
| Dust | 1.5k | +26 | 2026-09-30 |
| AgentPilot | 568 | +5 | 2025-05-15 |
| ChatDev | 34.4k | +407 | 2026-07-24 |
1. Flowise
Build AI Agents, Visually
What sets it apart: Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python
Best for: Non-technical users building AI chatbots and RAG applications; Quick prototyping of LLM workflows with drag-and-drop
2. 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
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. 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
5. 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
6. Dust
Custom AI agent platform to speed up your work.
What sets it apart: Enterprise AI agent platform that connects to company knowledge bases (Slack, Notion, Drive) — unlike developer-focused frameworks, Dust is designed for non-technical teams to build and deploy custom AI agents
Best for: Enterprise teams wanting custom AI agents connected to internal data; Organizations needing managed AI agent platform with team collaboration
7. AgentPilot
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
What sets it apart: vs ChatGPT/Claude desktop: local multi-agent workflow builder with graph-based design, 20+ LLM providers via LiteLLM, branching chats, and built-in multi-language code interpreter
Best for: Power users building complex multi-agent workflows on desktop; Developers wanting visual graph-based agent orchestration with code execution
8. ChatDev
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
What sets it apart: Pioneered the virtual software company paradigm with role-based agents — v2.0 evolved into a general-purpose zero-code multi-agent platform
Best for: Research on multi-agent collaboration and communication; Rapid prototyping of software via natural language descriptions