8 Best Dust Alternatives in 2026 (Open Source)
Dust — Custom AI agent platform to speed up your work. 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
Short answer
- Closest match to Dust: LLMStack.
- Most actively developed: ChatDev (3 commits in the last 90 days).
- Fastest growing: MetaGPT (+696 GitHub stars in the last 30 days).
- No commit in 6+ months: LLMStack, AgentPilot, MetaGPT and iX and 3 more.
These 8 open-source tools do the same job. They are ordered by how closely they match Dust, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| Dust(original) | 1.5k | +26 | 2026-10-03 | — |
| LLMStack | 2.3k | +2 | 2024-12-11 | — |
| ChatDev | 34.4k | +402 | 2026-07-24 | — |
| AgentPilot | 569 | +5 | 2025-05-15 | 17 |
| MetaGPT | 70.7k | +696 | 2026-01-21 | — |
| iX | 1.0k | 0 | 2024-03-03 | — |
| OpenAgents | 4.9k | +20 | 2024-11-18 | — |
| AI Legion | 1.4k | +1 | 2025-05-27 | — |
| GPTeam | 1.7k | +1 | 2024-06-28 | — |
1. 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
2. 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
3. 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
4. MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
What sets it apart: vs AutoGen/CrewAI: models entire software company with role-based SOPs (PM→Architect→Engineer), producing not just code but docs, API specs, and data structures
Best for: Automated software project generation from requirements; Research on multi-agent collaboration and SOP-driven workflows
5. 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
6. OpenAgents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
What sets it apart: vs agent frameworks (LangChain/AutoGen): complete full-stack platform with web UI for general users, not just developers — three specialized agents (Data/Plugins/Web) ready to use
Best for: Data analysis and visualization workflows for non-technical users; Research on real-world agent evaluation and benchmarking
7. AI Legion
An LLM-powered autonomous agent platform
What sets it apart: Multi-agent platform where autonomous LLM agents with persistent memory collaborate through console interaction, learning from their own mistakes
Best for: multi-agent-experimentation; exploring-agent-self-organization; autonomous-task-delegation
8. GPTeam
GPTeam: An open-source multi-agent simulation
What sets it apart: GPTeam models a configurable world where memory-equipped agents move, communicate, and work in parallel on common goals.
Best for: Developers exploring multi-agent architectures; Researchers experimenting with agent memory and communication; Teams prototyping collaborative agent simulations
FAQ
- What are the best alternatives to Dust?
- The closest open-source alternatives to Dust are LLMStack, ChatDev and AgentPilot, followed by MetaGPT, iX and OpenAgents. They are ranked by how closely they match what Dust does.
- Which Dust alternative is the most popular?
- MetaGPT has the most GitHub stars among Dust alternatives, with 70,725 stars.
- Which Dust alternative is the most actively maintained?
- By recent activity, ChatDev (3 commits in the last 90 days) is the most actively developed alternative.
Maintain Dust or one of these alternatives?
Each tool page has a maintainer box: a README badge with your live rank and stars, or a homepage feature for $49 / 7 days.