shell_gpt
gorilla-cli
| shell_gpt | gorilla-cli | |
|---|---|---|
| 38 | 11 | |
| 8,341 | 1,158 | |
| - | 3.5% | |
| 8.0 | 5.5 | |
| 7 days ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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shell_gpt
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Oh My Zsh
https://github.com/TheR1D/shell_gpt?tab=readme-ov-file#shell...
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Is there a better way to feed my codebase to GPT than using this bash script? How could I bundle the source code more intelligently?
I would like to stay in the terminal, and am using https://github.com/TheR1D/shell_gpt, my format is simply to send GPT a file to discuss:
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Ask HN: How are you using LLMs in your command-line?
ShellGPT https://github.com/TheR1D/shell_gpt does pretty well for a lot of use cases. I mostly use it in REPL mode, switching topics as needed. I have wrappers around the `sgpt` command to, say, start a REPL with a particular topic, say, Python, which loads my previous history on that topic as part of the prompt.
I also have an alias to save existing chats as text files so I can go back and review history.
Finally, there is an alias to load a question up in an editor if I need to enter multiline text, e.g. to discuss code fragments, etc.
I expect command-line workflows to be pretty individualized and I'm curious what others do. For me (old programmer), using a command line REPL feels much more natural (and blissfully noise-free) than going to a Web page to talk to, say, ChatGPT.
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ChatGPT web and mobile UIs unavailable
The API still works. I've been using https://github.com/TheR1D/shell_gpt/ in my workflow.
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Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
I recommend shell-gpt[1] for anyone with access to the OpenAI API. It works surprisingly well considering how simple it is. Be sure to browse the examples in the README.
[1] https://github.com/TheR1D/shell_gpt
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englizsh: Zsh plugin to interface command-line GPT programs intuitively through keybindings
Nice idea. You may want to mention in the docs that it requires https://github.com/TheR1D/shell_gpt ;)
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Sideloaded my app on an old second hand smartwarch, opened a shell and talked to AI on my wrist
I honestly bought the device just to play with the wearable version of my android app: a voice controlled ssh client that let me also pass voice input to shell_gpt. Other pre installed apps won't really work on this device, including google assistant, so I had to switch to google cloud speech to text APIs for speech recognition. I can still sideload compatible apps via bluetooth debugging tho
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Can I integrate my local LLM to enable it to run system commands and execute local code?
Maybe this can help : https://github.com/TheR1D/shell_gpt
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CLI to convert natural language to terminal commands
I'm not really following these but they tend to get released every other day, like https://github.com/nlml/YoCLI/ and https://github.com/TheR1D/shell_gpt
- LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs
gorilla-cli
- FLaNK 15 Jan 2024
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Show HN: Shell-AI, run shell commands with natural language
Hello HN! I know this project is a super simple wrapper around LangChain/OpenAI but I just found myself wanting this badly myself: a super simple `pip install` package that I can use to get command suggestions within the terminal as I'm being productive doing other things.
The implementation is literally one short glue of LangChain and InquirerPy for interactive CLI.
I'm curious which ideas you all have to make this smarter/better. MIT licensed, if you're keen on contributing please feel free to do so. It's a pure hobby project for me.
Some key objectives: never automatically run shell code, I want to see what I run before I run it, present me with some alternatives, a simple path to using local models in the future (Llama 2 Code soon?).
Will add I was inspired by the great https://github.com/gorilla-llm/gorilla-cli project, but didn't like that it sent the prompt to some IP based endpoint.
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Show HN: Poozle – open-source Plaid for LLMs
Very cool product! Have you consider relying on Gorilla for integrations?
https://github.com/gorilla-llm/gorilla-cli
- FLaNK Stack Weekly for 07August2023
- Show HN: Lemon AI – open-source Zapier NLA to empower agents
- GitHub - gorilla-llm/gorilla-cli: LLMs for your CLI (cum să faci operations doar în limba engleză)
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30-Jun-2023
gorilla-cli: LLMs for your CLI (https://github.com/gorilla-llm/gorilla-cli)
- Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
What are some alternatives?
ai-shell - A CLI that converts natural language to shell commands.
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
YoCLI - yo lets you find the the CLI command you are looking for by asking in natural language
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
butterfish - A shell with AI superpowers
CallCMLModel - An example on calling models deployed in CML
mods - AI on the command line
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
shell-gpt-rs - Ask ChatGPT for a shell script, code, or anything, directly from your terminal 🤖🧠👨💻
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.