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ChatDev

by Community

ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration

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Agents

ChatDev

Added 10 July 2026

Overview

ChatDev is an open-source framework that simulates a software development company using multiple LLM agents. Agents collaborate in roles like CEO, CTO, and programmer to build complete applications from natural language specifications. All communication and code generation are orchestrated through Python scripts.

Best for

Best for
Developers exploring multi-agent AI collaboration for rapid software prototyping

Use cases

  • Generating a full-stack web app from a description
  • Automating code review and debugging in a multi-agent workflow
  • Prototyping software projects with minimal manual coding

Notes

ChatDev is an open-source framework that simulates a software development company using multiple LLM agents. Agents collaborate in roles like CEO, CTO, and programmer to build complete applications from natural language specifications. All communication and code generation are orchestrated through Python scripts.

33,701 stars on GitHub. Last updated 2026-06-29. Licensed Apache-2.0.

Use cases

  • Generating a full-stack web app from a description
  • Automating code review and debugging in a multi-agent workflow
  • Prototyping software projects with minimal manual coding

Pros

  • Modular agent architecture that can be customized for different workflows
  • Strong community and high popularity (33k GitHub stars) indicating active maintenance
  • Open-source and self-hosted, giving full control over LLM usage and costs

Cons

  • Requires users to supply and manage their own LLM API keys, increasing operational complexity
  • Generated code may need significant human refinement for production use
  • Limited to small-to-medium projects due to coordination overhead among agents

Indexed from awesome-ai-agents and enriched against its public facts.

Pros

  • Modular agent architecture that can be customized for different workflows
  • Strong community and high popularity (33k GitHub stars) indicating active maintenance
  • Open-source and self-hosted, giving full control over LLM usage and costs

Cons

  • Requires users to supply and manage their own LLM API keys, increasing operational complexity
  • Generated code may need significant human refinement for production use
  • Limited to small-to-medium projects due to coordination overhead among agents

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