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DeepCode

DeepCode: Turn papers and prompts into full-stack running code

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DeepCode is an open multi-agent coding framework that converts research papers and natural language specs into production-ready front-end and back-end code. It combines Paper2Code, Text2Web, and Text2Backend pipelines with both CLI and web interfaces for research, prototyping, and full project generation.
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More about DeepCode

DeepCode is an open multi-agent coding framework that turns research papers and natural language descriptions into production-ready code. Built around Paper2Code, Text2Web, and Text2Backend, it orchestrates specialized AI agents to read, plan, implement, and refine complex projects across front-end and back-end stacks.

With DeepCode, you can automatically reproduce advanced algorithms from academic papers, generate responsive web interfaces from plain text, and create scalable back-end logic without manual boilerplate. Its terminal-first workflow supports power users and CI/CD pipelines, while the modern web dashboard offers visual progress tracking and intuitive control for broader teams.

Key advantages include:

  • PaperBench-leading performance on research-code reproduction
  • Agentic coding architecture that coordinates planning, coding, and debugging agents
  • Production-focused outputs with structured repositories, tests, and configs
  • Open-source MIT licensing for customization and enterprise integration

DeepCode is ideal for research engineers, AI developers, and teams who need to translate complex ideas into reliable, maintainable codebases at scale.

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