ChatDev — Zero-code multi-agent platform for developing everything via AI collaboration. Best for Researchers exploring multi-agent collaboration and orchestration, Developers prototyping zero-code AI workflows for data visualization or 3D generation, Teams needing a customizable open-source platform for multi-agent systems. Free to start; paid plans from $2/mo.
Researchers exploring multi-agent collaboration and orchestrationDevelopers prototyping zero-code AI workflows for data visualization or 3D generationTeams needing a customizable open-source platform for multi-agent systemsHobbyists building automated task pipelines without codingAcademics reproducing NeurIPS 2025 experiments on evolving orchestration
Not ideal for
Enterprises requiring managed, production-ready multi-agent SaaSUsers seeking out-of-the-box solutions without Docker or GitHub setupTeams needing strong integrations with commercial tools (Slack, Notion, etc.)Real-time or latency-sensitive applications due to LLM inference delaysNon-technical users comfortable with no coding but unfamiliar with Git and configuration files
A powerful evolution from a focused dev tool to a general multi-agent orchestrator—ideal for prototyping complex workflows without coding. However, production readiness requires self-hosting and technical setup.
ChatDev 2.0 is a leap forward for multi-agent collaboration. Its zero-code approach lowers the barrier, letting you orchestrate agents for data viz, 3D, or research. The academic backing (NeurIPS 2025) adds credibility. But it's not a plug-and-play SaaS—expect to dive into GitHub, set up Docker, and manage LLM keys. It's best for tinkerers and researchers; enterprises might find the lack of managed hosting a hurdle. Compared to AutoGen or CrewAI, ChatDev offers more baked-in workflow templates and a visual config, but AutoGen has stronger integrations. For now, pick ChatDev if you want a playground for multi-agent prototypes; pass if you need production support.
Skip ChatDev if Skip ChatDev if you need a managed, production-ready agent platform with enterprise support, pre-built integrations, or low-latency responses.
Latest from ChatDev
Updated 5 days ago
Across the latest 3 updates: 2 launches and 1 community discussion.
How likely is ChatDev to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
40
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About ChatDev
ChatDev 2.0 (DevAll) is a zero-code multi-agent platform that enables users to rapidly build and execute customized multi-agent systems through simple configuration. It powers a wide range of scenarios including data visualization, 3D generation, and deep research. Users can define agents, workflows, and tasks without coding, making it accessible to non-developers. The platform leverages LLM-powered multi-agent collaboration with evolving orchestration, as published in NeurIPS 2025. Unlike ChatDev 1.0, which focused on automated software development, DevAll extends to any domain. The platform supports directed acyclic graph-based collaboration (MacNet) for scalable and versatile task execution. It is an open-source project from OpenBMB, ideal for researchers, developers, and teams exploring multi-agent systems.
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Key Features
Zero-code multi-agent orchestration via configuration
LLM-powered multi-agent collaboration with evolving orchestration
Define agents, workflows, and tasks without coding
Support for data visualization, 3D generation, deep research
Directed acyclic graph (MacNet) for scalable collaboration
Iterative Experience Refinement (IER) for task efficiency
Experiential Co-Learning module for reducing errors
Open-source under Apache-2.0 license
Docker deployment support
Frontend interface included
Multi-agent collaboration across 1000+ agents (MacNet)
Real-world workflow fit
Concrete scenarios for the personas ChatDev actually fits — and what changes day-one when you adopt it.
Researcher
You want to replicate the results of a multi-agent software development paper
Outcome: Run ChatDev's default workflow to have CEO, CTO, Programmer agents collaboratively design, code, and test a simple app, generating a transcript and code output for analysis.
Educator
You teach a course on AI agent systems and need a hands-on lab
Outcome: Students define custom agents and workflows via YAML, run them to see agent interactions, and modify configuration to experiment with different collaboration patterns.
Hobbyist developer
You want to prototype a multi-agent workflow for data visualization
Outcome: Configure agents for data processing, plotting, and review without writing code, then visualize the generated charts within minutes.
Output code is demo-quality—simple apps work, anything non-trivial breaks at integration or testing time. Each run spends significant tokens across multiple agent conversations; a single build can cost several dollars on GPT-4-class models. No test-harness beyond the agent-generated tests, which can be wrong. Not maintained at the cadence of production frameworks.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
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Effective monthly
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ChatDev tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
Free (Apache-2.0)
Ideal for
Researchers, educators, and hobbyists who want to experiment with multi-agent systems at no cost.
What this tier adds
Free entry point with full framework, visual GUI, and all agent roles; you pay only for LLM API usage.
Where the pricing makes sense
The company stage and team size where ChatDev's pricing actually pencils out — and where peers do it cheaper.
ChatDev is free and open-source (Apache 2.0), making it ideal for researchers, educators, and hobbyists with zero budget. Unlike paid platforms like AutoGPT ($20/mo Pro) or CrewAI (cloud tiers), you only pay for LLM API usage. This suits small teams experimenting with multi-agent workflows, but larger teams may find the self-hosting overhead costly in ops time.
Setup time & first value
How long it actually takes to get something useful out of ChatDev — broken out by persona, not the marketing-page minute.
For researchers familiar with LLMs: clone the repo, configure your API key in .env, and run the default example in under 15 minutes. Docker setup adds ~5 minutes. Non-developers may need 30-60 minutes to understand YAML configuration and agent roles. No account creation needed.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•Jan 07, 2026: Official release of ChatDev 2.0 (DevAll) zero-code multi-agent platform; v1.x moved to chatdev1.0 branch
