I like madox2’s [1] project vim-ai [2].
AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim and Neovim.
References:
[1]: https://github.com/madox2
[2]: https://github.com/madox2/vim-ai
GitHub Stars
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1859 posts
latest post 2026-05-24
Publishing rhythm
tabby [1] by TabbyML [2] is a game-changer in its space. Excited to see how it evolves.
Self-hosted [3] AI coding assistant
References:
[1]: https://github.com/TabbyML/tabby
[2]: https://github.com/TabbyML
[3]: /self-host/
If you’re into interesting projects, don’t miss out on wolverine [1], created by biobootloader [2].
No description available.
References:
[1]: https://github.com/biobootloader/wolverine
[2]: https://github.com/biobootloader
I’m impressed by chroma [1] from chroma-core [2].
the AI-native open-source embedding database
References:
[1]: https://github.com/chroma-core/chroma
[2]: https://github.com/chroma-core
Looking for inspiration? langchain [1] by langchain-ai [2].
🦜🔗 Build context-aware reasoning applications
References:
[1]: https://github.com/langchain-ai/langchain
[2]: https://github.com/langchain-ai
Check out lm-sys [1] and their project FastChat [2].
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
References:
[1]: https://github.com/lm-sys
[2]: https://github.com/lm-sys/FastChat
I came across hatch-aws [1] from trash-panda-v91-beta [2], and it’s packed with great features and ideas.
Hatch plugin for building AWS Lambda functions with SAM
References:
[1]: https://github.com/trash-panda-v91-beta/hatch-aws
[2]: https://github.com/trash-panda-v91-beta
I’m impressed by hatch-aws [1] from aka-raccoon [2].
Hatch plugin for building AWS Lambda functions with SAM
References:
[1]: https://github.com/aka-raccoon/hatch-aws
[2]: https://github.com/aka-raccoon
Looking for inspiration? hatch-jupyter-builder [1] by jupyterlab [2].
A hatch plugin to help build Jupyter packages
References:
[1]: https://github.com/jupyterlab/hatch-jupyter-builder
[2]: https://github.com/jupyterlab
Check out topiary [1] by tweag [2]. It’s a well-crafted project with great potential.
No description available.
References:
[1]: https://github.com/tweag/topiary
[2]: https://github.com/tweag
Check out topiary [1] by topiary [2]. It’s a well-crafted project with great potential.
No description available.
References:
[1]: https://github.com/topiary/topiary
[2]: https://github.com/topiary
nvim-FeMaco.lua [1] by AckslD [2] is a game-changer in its space. Excited to see how it evolves.
Catalyze your Fenced Markdown Code-block editing!
References:
[1]: https://github.com/AckslD/nvim-FeMaco.lua
[2]: https://github.com/AckslD
Check out whisper.cpp [1] by ggml-org [2]. It’s a well-crafted project with great potential.
Port of OpenAI’s Whisper model in C/C++
References:
[1]: https://github.com/ggml-org/whisper.cpp
[2]: https://github.com/ggml-org
I’m impressed by whisper.cpp [1] from ggerganov [2].
Port of OpenAI’s Whisper model in C/C++
References:
[1]: https://github.com/ggerganov/whisper.cpp
[2]: https://github.com/ggerganov
Check out fabulously-optimized [1] by Fabulously-Optimized [2]. It’s a well-crafted project with great potential.
A simple Minecraft modpack focusing on performance and graphics enhancements.
References:
[1]: https://github.com/Fabulously-Optimized/fabulously-optimized
[2]: https://github.com/Fabulously-Optimized
reeses-sodium-options [1] by FlashyReese [2] is a game-changer in its space. Excited to see how it evolves.
Replaces Sodium’s Options Screen
References:
[1]: https://github.com/FlashyReese/reeses-sodium-options
[2]: https://github.com/FlashyReese
Looking for inspiration? chatgpt_commit_message_hook [1] by tom-doerr [2].
Enhance your git [3] workflow using AI-generated commit messages from ChatGPT. Seamless integration for a well-documented commit log.
References:
[1]: https://github.com/tom-doerr/chatgpt_commit_message_hook
[2]: https://github.com/tom-doerr
[3]: /glossary/git/
The work on LazyVim [1] by LazyVim [2].
Neovim config for the lazy
References:
[1]: https://github.com/LazyVim/LazyVim
[2]: https://github.com/LazyVim
If you’re into interesting projects, don’t miss out on oxen-release [1], created by Oxen-AI [2].
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
References:
[1]: https://github.com/Oxen-AI/oxen-release
[2]: https://github.com/Oxen-AI
Oxen [1] by Oxen-AI [2] is a game-changer in its space. Excited to see how it evolves.
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
References:
[1]: https://github.com/Oxen-AI/Oxen
[2]: https://github.com/Oxen-AI