thread

High-performance code analysis and parsing engine powered by tree-sitter.

🚧 Development Status

This crate is currently under active development. This initial release serves as a placeholder to claim the crate name. The API is not yet stable and will change significantly in upcoming versions.

🎯 Planned Features

• Multi-language Support: Tree-sitter based parsing for Rust, Python, TypeScript, and more
• Content-Addressable Storage: Efficient deduplication and versioning of code elements
• High Performance: Concurrent processing optimized for speed# thread

High-performance code analysis and parsing engine powered by tree-sitter.

🚧 Development Status

This crate is currently under active development. This initial release serves as a placeholder to claim the crate name. The API is not yet stable and will change significantly in upcoming versions.

🎯 Planned Features

• Multi-language Support: Tree-sitter based parsing for Rust, Python, TypeScript, and more
• Content-Addressable Storage: Efficient deduplication and versioning of code elements
• High Performance: Concurrent processing optimized for speed
• WASM Ready: Compile to WebAssembly for edge deployment
• Incremental Parsing: Live updates for language server capabilities
• Query System: Flexible, language-agnostic code element extraction

🏗️ Architecture

Thread will be built as a modular workspace:

• thread-core - Core traits and types
• thread-parser - High-performance parsing engine
• thread-query - Query system for code extraction
• thread-languages - Language-specific implementations
• thread-wasm - WebAssembly bindings
• thread-cli - Command-line interface

📄 Licensing

Thread is dual-licensed to serve both open source and commercial users:

Open Source License

• AGPL-3.0-or-later for open source projects
• Requires derivative works to be open source under compatible licenses
• Perfect for research, learning, and open source development

Commercial License

• Proprietary license available for commercial use
• Allows integration into proprietary software without open source requirements
• Contact licensing@knitli.com for licensing terms

Contributing

We welcome contributions! All contributions require signing a Contributor License Agreement that grants Knitli the rights necessary to maintain dual licensing.

🏢 About Knitli

Thread is developed by Knitli, a company focused on breaking down barriers between powerful AI technology and everyday people.

📞 Contact

• General: team@knitli.com
• Licensing: licensing@knitli.com
• Development: Follow progress on GitHub

Thread is part of the knitli ecosystem of AI accessibility tools.

• WASM Ready: Compile to WebAssembly for edge deployment
• Incremental Parsing: Live updates for language server capabilities
• Query System: Flexible, language-agnostic code element extraction

🏗️ Architecture

Thread will be built as a modular workspace:

• thread-core - Core traits and types
• thread-parser - High-performance parsing engine
• thread-query - Query system for code extraction
• thread-languages - Language-specific implementations
• thread-wasm - WebAssembly bindings
• thread-cli - Command-line interface

📄 Licensing

Thread is dual-licensed to serve both open source and commercial users:

Open Source License

• AGPL-3.0-or-later for open source projects
• Requires derivative works to be open source under compatible licenses
• Perfect for research, learning, and open source development

Commercial License

• Proprietary license available for commercial use
• Allows integration into proprietary software without open source requirements
• Contact licensing@knitli.com for licensing terms

Contributing

We welcome contributions! All contributions require signing a Contributor License Agreement that grants Knitli the rights necessary to maintain dual licensing.

🏢 About Knitli

Thread is developed by Knitli, a company focused on breaking down barriers between powerful AI technology and everyday people.

📞 Contact

• General: team@knitli.com
• Licensing: licensing@knitli.com
• Development: Follow progress on GitHub

 Thread is part of the knitli ecosystem of AI accessibility tools.