ChatDev 2.0: A No-Code Multi-Agent Platform for Developing Everything

Researchers from OpenBMB released ChatDev 2.0: DevAll, a no-code platform for building and executing multi-agent systems that combines a declarative executable graph abstraction with a cycle-aware execution engine, enabling dynamic and cyclic agent interactions without writing code. Experiments show DevAll reproduces state-of-the-art multi-agent systems across three representative tasks at competitive performance, and the platform is available on GitHub.

arXiv:2609.00714v1 Announce Type: new Abstract: Large language model LLM -based multi-agent systems MAS have shown strong potential for solving complex tasks, yet their development forces a tradeoff: code frameworks are expressive but engineering-intensive, while no-code builders simplify authoring but constrain agent interactions to author-defined workflows. We present ChatDev 2.0: DevAll hereafter DevAll , a no-code platform for building, executing, and inspecting heterogeneous MAS that delivers both high expressiveness and ease of use. In terms of expressiveness, DevAll pairs a declarative executable graph abstraction with a cycle-aware execution engine, so that heterogeneous agents and dynamic and cyclic interactions can be represented and executed within a single framework. For ease of use, an integrated visual interface lets users author, run, monitor, and inspect MAS, including human-in-the-loop steps, entirely without writing code. Experiments demonstrate that DevAll reproduces state-of-the-art MAS across three representative tasks at competitive performance and without task-specific orchestration code, highlighting its effectiveness as a general-purpose platform for LLM-based MAS. DevAll is available at https://github.com/OpenBMB/ChatDev.