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 - [yamafaktory/hypergraphz](https://github.com/yamafaktory/hypergraphz) : HypergraphZ - A Hypergraph Implementation in Zig.
 - [williamw520/toposort](https://github.com/williamw520/toposort) : Topological sort library that produces topological ordered nodes and dependence-free subsets.
 - [kobolds-io/stdx](https://github.com/kobolds-io/stdx) : Helpful extensions to the zig standard library.
+- [CogitatorTech/ordered](https://github.com/CogitatorTech/ordered): A sorted collection library (sorted sets and sorted maps) for Zig
 
 ## String Processing
 
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 - [GabrieleInvernizzi/zig-prompter](https://github.com/GabrieleInvernizzi/zig-prompter) : A flexible library for building interactive command line prompts.
 - [kioz-wang/zargs](https://github.com/kioz-wang/zargs) : Another Comptime-argparse for Zig.
 - [xcaeser/zli](https://github.com/xcaeser/zli) : 📟 Zig command-line interfaces made easy. A blazing fast CLI framework. Build ergonomic, high-performance command-line tools with zig.
+- [CogitatorTech/chilli](https://github.com/CogitatorTech/chilli): Chilli 🌶️ is a minimalistic CLI framework for Zig.
 
 ## Memory Allocator and Management
 
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 - [squeek502/zua](https://github.com/squeek502/zua) : An implementation of Lua 5.1 in Zig, for learning purposes.
 - [Vexu/bog](https://github.com/Vexu/bog) : Small, strongly typed, embeddable language.
 - [fury](https://github.com/fury-lang/fury) : Fury, a gradual, safe systems language.
+- [Element 0](https://github.com/Element0Lang/element-0): A small embeddable Lisp dialect written in Zig.
 
 ## FFI Bindings
 
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   - [clebert/llama2.zig](https://github.com/clebert/llama2.zig) : Inference Llama 2 in pure Zig.
   - [renerocksai/gpt4all.zig](https://github.com/renerocksai/gpt4all.zig) : ZIG build for a terminal-based chat client for an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa.
   - [EugenHotaj/zig_gpt2](https://github.com/EugenHotaj/zig_gpt2) : Neural Network Inference Engine in Zig. GPT2 inference engine written in Zig. The inference engine can run [NanoGPT](https://github.com/karpathy/nanoGPT).
+  - [CogitatorTech/zigformer](https://github.com/CogitatorTech/zigformer): ZigFormer is an transformer-based LLM implemented in pure Zig
 
 ## Database