Home/r/aiagents/2025-07-31/#claude-code-sub-agents-team-open-source
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I have created Claude code sub agents team - Open Sourced

r/aiagents
7/31/2025

Content Summary

The post discusses the creation of a Claude code sub-agents team that has been open-sourced. The author shares their experience with claude-flow, noting its complexity and lack of direct relation to sub-agents. They emphasize the need for a simpler, more accessible agentic system and invite community feedback through open-sourcing the project.

Opinion Analysis

Mainstream opinion suggests that while claude-flow is powerful, it may not be the best fit for sub-agent systems due to its complexity. Some users prefer simpler solutions, as highlighted by the author's focus on quick setup and orchestration. There is a debate around whether more complex tools are necessary or if simplicity should be prioritized for broader adoption. The open-sourcing approach is seen as a positive step towards community-driven development and improvement.

SAAS TOOLS

SaaSURLCategoryFeatures/Notes
claude-flow[Not provided]AI DevelopmentHas powerful features with npx commands and large configuration, but not directly related to sub-agents yet.

USER NEEDS

Pain Points:

  • Complexity of setup for agent systems
  • Difficulty in finding simple and effective agentic systems
  • Confusion about the relationship between tools like claude-flow and sub-agents

Problems to Solve:

  • Creating a simple and powerful agentic system with quick setup
  • Orchestration of multiple agents

Potential Solutions:

  • Using a lightweight and easy-to-set-up agentic system
  • Open-sourcing the project for community feedback and improvement

GROWTH FACTORS

Effective Strategies:

  • Open-sourcing projects to build community and gather feedback
  • Focusing on simplicity and ease of use to attract users

Marketing & Acquisition:

  • Leveraging open-source contributions and community engagement
  • Highlighting unique features and ease of setup to differentiate from competitors

Monetization & Product:

  • Emphasizing product-market fit by addressing user needs for simpler agent systems
  • Building a reputation for usability and performance

User Engagement:

  • Encouraging community involvement through open-source contributions
  • Engaging in discussions to understand user pain points and improve the product