{"id":30196201,"url":"https://github.com/lukedennyel/amongus-ai-knowledge-extractor","last_synced_at":"2026-04-16T04:02:57.129Z","repository":{"id":309629937,"uuid":"1037010364","full_name":"lukedennyel/amongus-ai-knowledge-extractor","owner":"lukedennyel","description":"EN: AI-powered Among Us .NET/Unity decompiler and knowledge extractor (dnSpy-style output, IL cleanup, index generation) for LLM datasets and code analysis.                   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Ideal for exploring game code and preparing data for LLMs.\r\n\r\n— Portuguese version below —\r\n\r\n## Highlights\r\n\r\n- __On-demand detail__: full, dnSpy-like decompilation for selected classes\r\n- __Optimized parallelization__: fast analysis for the rest (fields, properties, events, ctors, methods)\r\n- __Structured output__: `namespace → type → members`, consistent indentation\r\n- __Console UX__: progress bar and colored steps ([1/3], [2/3], [3/3])\r\n- __Post-processing__: removes noisy IL comments (`//IL_...`)\r\n- __Separate index__: lists all types and members\r\n\r\n## Quick start\r\n\r\n1) Build: `dotnet build`\r\n2) Drag and drop your `Assembly-CSharp.dll` onto the built executable\r\n3) Open the generated `.txt` files next to the DLL\r\n\r\nCLI (PowerShell):\r\n\r\n```powershell\r\n./bin/Debug/net9.0/ConsoleApp2.exe \"C:\\\\Path\\\\To\\\\Assembly-CSharp.dll\"\r\n```\r\n\r\n## Configuration (`Program.cs`)\r\n\r\n- `CLASSES_PARA_DETALHE_COMPLETO`\r\n- `NAMESPACES_PARA_INCLUIR` / `NAMESPACES_PARA_IGNORAR`\r\n- `MAXIMO_TOKENS_APROXIMADO`\r\n\r\n## License\r\n\r\nMIT\r\n\r\nFerramenta para decompilar assemblies .NET (ex.: `Assembly-CSharp.dll` de Unity) e gerar uma base de conhecimento legível em estilo dnSpy. Ideal para explorar código de jogos e preparar dados para LLMs.\r\n\r\n— Versão em português abaixo —\r\n\r\n## Destaques\r\n\r\n- __Detalhe sob demanda__: decompilação completa, estilo dnSpy, para classes selecionadas\r\n- __Paralelismo otimizado__: análise rápida do restante (campos, propriedades, eventos, construtores, métodos)\r\n- __Saída organizada__: `namespace → tipo → membros`, com identação consistente\r\n- __UX no console__: barra de progresso e etapas coloridas ([1/3], [2/3], [3/3])\r\n- __Limpeza pós-processamento__: remoção de comentários IL ruidosos (`//IL_...`)\r\n- __Índice separado__: arquivo com todos os tipos e membros\r\n\r\n## O que é gerado\r\n\r\n- `[AssemblyName]-knowledge-base-index.txt`: índice legível com namespaces, tipos e membros\r\n- `[AssemblyName]-knowledge-base-completo.txt`: base principal com o código decompilado\r\n\r\n## Requisitos\r\n\r\n- .NET SDK 9.0+\r\n\r\n## Como usar\r\n\r\n1) Compile o projeto: `dotnet build`\r\n2) Arraste e solte seu `Assembly-CSharp.dll` sobre o executável gerado\r\n3) Abra os `.txt` gerados na mesma pasta do seu DLL\r\n\r\nVia terminal (PowerShell):\r\n\r\n```powershell\r\n./bin/Debug/net9.0/ConsoleApp2.exe \"C:\\\\Path\\\\To\\\\Assembly-CSharp.dll\"\r\n```\r\n\r\n## Configuração (em `Program.cs`)\r\n\r\n- __`CLASSES_PARA_DETALHE_COMPLETO`__: nomes de classes para decompilação completa\r\n- __`NAMESPACES_PARA_INCLUIR` / `NAMESPACES_PARA_IGNORAR`__: filtros de escopo\r\n- __`MAXIMO_TOKENS_APROXIMADO`__: guarda de tamanho para evitar saídas gigantes\r\n\r\n## Dicas e solução de problemas\r\n\r\n- __Sem comentários `//IL_...`__: já limpamos automaticamente; caso deseje outros filtros, adapte `CleanDecompiledCode()`\r\n- __Assemblies com dependências__: o decompilador foi configurado para não falhar na resolução; ainda assim, copie dependências junto do alvo quando possível\r\n- __Unidades muito grandes__: ajuste filtros de namespace e a lista de classes detalhadas\r\n\r\n## Ética e legalidade\r\n\r\nEste projeto é para fins educacionais e de pesquisa. Respeite licenças e leis locais sobre engenharia reversa.\r\n\r\n## Licença\r\n\r\nMIT\r\n\r\n---\r\n\r\n# Knowledge Base Generator for AI (dnSpy-style) — EN\r\n\r\nA tool to decompile .NET assemblies (e.g., Unity’s `Assembly-CSharp.dll`) and produce a dnSpy-like, readable knowledge base. Geared towards game code exploration and LLM dataset preparation.\r\n\r\n## Highlights\r\n\r\n- __On-demand detail__: full, dnSpy-like decompilation for selected classes\r\n- __Optimized parallelization__: fast analysis for the rest (fields, properties, events, ctors, methods)\r\n- __Structured output__: `namespace → type → members`, consistent indentation\r\n- __Console UX__: progress bar and colored steps ([1/3], [2/3], [3/3])\r\n- __Post-processing__: removes noisy IL comments (`//IL_...`)\r\n- __Separate index__: lists all types and members\r\n\r\n## Outputs\r\n\r\n- `[AssemblyName]-knowledge-base-index.txt`\r\n- `[AssemblyName]-knowledge-base-completo.txt`\r\n\r\n## Requirements\r\n\r\n- .NET SDK 9.0+\r\n\r\n## Usage\r\n\r\n1) Build: `dotnet build`\r\n2) Drag and drop your `Assembly-CSharp.dll` onto the built executable\r\n3) Open the generated `.txt` files next to the DLL\r\n\r\nCLI (PowerShell):\r\n\r\n```powershell\r\n./bin/Debug/net9.0/ConsoleApp2.exe \"C:\\\\Path\\\\To\\\\Assembly-CSharp.dll\"\r\n```\r\n\r\n## Configuration (`Program.cs`)\r\n\r\n- `CLASSES_PARA_DETALHE_COMPLETO`\r\n- `NAMESPACES_PARA_INCLUIR` / `NAMESPACES_PARA_IGNORAR`\r\n- `MAXIMO_TOKENS_APROXIMADO`\r\n\r\n## Notes\r\n\r\n- Educational/research use. Respect licenses and local laws.\r\n\r\n## License\r\n\r\nMIT\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flukedennyel%2Famongus-ai-knowledge-extractor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flukedennyel%2Famongus-ai-knowledge-extractor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flukedennyel%2Famongus-ai-knowledge-extractor/lists"}