
lexido
A terminal assistant, powered by Generative AI
Stars: 201

Lexido is an innovative assistant for the Linux command line, designed to boost your productivity and efficiency. Powered by Gemini Pro 1.0 and utilizing the free API, Lexido offers smart suggestions for commands based on your prompts and importantly your current environment. Whether you're installing software, managing files, or configuring system settings, Lexido streamlines the process, making it faster and more intuitive.
README:
Lexido is an innovative assistant for the Linux command line, designed to boost your productivity and efficiency. Powered by Gemini Pro 1.0 and utilizing the free API, Lexido offers smart suggestions for commands based on your prompts and importantly your current environment. Whether you're installing software, managing files, or configuring system settings, Lexido streamlines the process, making it faster and more intuitive.
-
Command Suggestions: Simply type
lexido [prompt]
to get actionable command suggestions. - Cross-Platform: Support for both Linux and macOS
-
Continued Conversations: Use
lexido -c [prompt]
to continue a previous conversation, allowing for context-aware suggestions. -
Piping Support: Pipe commands into Lexido (e.g.,
ls | lexido [prompt]
) for enhanced command list suggestions. - Efficiency: Designed with efficiency in mind, Lexido helps you get things done NOW.
Lexido is available on the AUR. Install it using the package manager of your choice such as:
yay -S lexido
Lexido is available on homebrew. Install it using the brew
command:
brew install lexido
Head to the releases tab to pick up a binary! Once downloaded, you'll want to make Lexido easily accessible from anywhere on your computer. Here's how:
-
Rename the downloaded file:
The downloaded file might have a long and specific name, like "v1.0-lexido-linux-amd64". For easier use, consider renaming it to just "lexido".
-
Make the file executable:
Open your terminal and navigate to the folder where you downloaded the Lexido binary. Then, run the following command to make the file executable:
chmod +x ./lexido
-
Move the file to your system's path:
Why do this? By placing the renamed and executable Lexido file in your system's path, you can run it from any terminal window without needing to specify the full path to the file. It's a shortcut for convenience!
Here's an example command assuming you downloaded Lexido to your Downloads folder:
mv ~/Downloads/lexido /usr/local/bin/lexido
Ensure you have Go installed on your system. Follow these steps to install Lexido:
- Clone the Lexido repository:
git clone https://github.com/micr0-dev/lexido.git
- Navigate to the Lexido directory:
cd lexido
- Build the project:
go build
- Optionally, move the Lexido binary to a location in your PATH for easy access.
If you want to run lexido completely locally you can do that as of version 1.3! This is done via Ollama, a tool for easily running large language models locally. It does all the hard work of installing LLMs for you!
You can install Ollama as follows:
curl -fsSL https://ollama.com/install.sh | sh
Running lexido locally is as easy as adding the -l
flag when you want to run locally, or using --setLocal
to run locally by default! You can also select the model you want to run with -m
and again set it to be the default with --setModel
. Be sure you have the model installed before attempting to run it with lexido however!
This guide provides instructions on how to create and customize the JSON configuration files necessary for API integration within lexido. Each configuration allows the application to interact with a different external API by specifying endpoints, headers, data templates, and specific fields to extract from API responses.
The default configuration template is provided as a baseline. This template includes placeholders that should be customized based on the specific API you want to integrate with.
{
"api_config": {
"url": "https://api.example.com/endpoint/v1/chat/completions",
"headers": {
"Content-Type": "application/json",
"Accept": "application/json"
},
"data_template": {
"model": "example-model",
"messages": "<PROMPT>"
},
"field_to_extract": "response"
}
}
- url: The endpoint URL of the API you are calling.
-
headers: HTTP headers to include with your request. Common headers include
Content-Type
andAccept
. -
data_template: The data body of your request.
<PROMPT>
will be replaced dynamically by the application. - field_to_extract: The field within the API response from which data should be extracted.
Below is an example configuration specifically set up for interacting with the oLlama API, which is assumed to run locally.
{
"api_config": {
"url": "http://localhost:11434/api/generate",
"headers": {
"Content-Type": "application/json",
"Accept": "application/json"
},
"data_template": {
"model": "llama3",
"prompt": "<PROMPT>"
},
"field_to_extract": "response"
}
}
-
Model: Depending on the capabilities of the API, you might need to change the
model
value to match the model provided by the API service. -
Prompt: The
<PROMPT>
placeholder indata_template
will be replaced with the actual query or command you wish to send to the API.
To create your own configuration:
- Copy the default configuration template. The location for the config is
~/.lexido/remoteConfig.json
- Replace the
url
,headers
,data_template
, andfield_to_extract
fields as needed for your specific API. - Ensure all placeholders like
<PROMPT>
are appropriately positioned where dynamic content is expected to be inserted by the application.
This configuration system is designed to be flexible and extendable, allowing for easy integration with various APIs by simply modifying the JSON configuration files. For advanced configurations, you may need to adjust additional parameters.
- To get command suggestions:
lexido "install teamspeak via docker"
- To continue with a previous prompt:
lexido -c "add more details or follow-up"
- To use with piping commands:
ls | lexido "what should I do with these files?"
The binary's size mainly consists of the built-in networking and encryption libraries of Go. A quick inspection showcases this:
> goweight
12 MB runtime
8.1 MB net/http
5.3 MB google.golang.org/protobuf/internal/impl
4.1 MB net
4.1 MB golang.org/x/net/http2
3.9 MB golang.org/x/sys/unix
3.7 MB crypto/tls
3.3 MB google.golang.org/grpc
Before requesting the LLM the program does what is known as prompt building or contextualization, it collects different data about your system and your current scenario to help the LLM more accurately answer. Giving the LLM context about your situation allows it to better understand what you are asking or how to reply.
If you have any more questions feel free to reach out and ask
Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
If you use and enjoy lexido, you can buy me a coffee as a thank you! https://ko-fi.com/micr0byte
Distributed under the GNU Affero General Public License v3.0 or any later version. See LICENSE
for more information.
- Gemini Pro 1.0 for the LLM powering Lexido.
Made with 💚 by Micr0byte
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for lexido
Similar Open Source Tools

lexido
Lexido is an innovative assistant for the Linux command line, designed to boost your productivity and efficiency. Powered by Gemini Pro 1.0 and utilizing the free API, Lexido offers smart suggestions for commands based on your prompts and importantly your current environment. Whether you're installing software, managing files, or configuring system settings, Lexido streamlines the process, making it faster and more intuitive.

OpenAI-sublime-text
The OpenAI Completion plugin for Sublime Text provides first-class code assistant support within the editor. It utilizes LLM models to manipulate code, engage in chat mode, and perform various tasks. The plugin supports OpenAI, llama.cpp, and ollama models, allowing users to customize their AI assistant experience. It offers separated chat histories and assistant settings for different projects, enabling context-specific interactions. Additionally, the plugin supports Markdown syntax with code language syntax highlighting, server-side streaming for faster response times, and proxy support for secure connections. Users can configure the plugin's settings to set their OpenAI API key, adjust assistant modes, and manage chat history. Overall, the OpenAI Completion plugin enhances the Sublime Text editor with powerful AI capabilities, streamlining coding workflows and fostering collaboration with AI assistants.

chatgpt-vscode
ChatGPT-VSCode is a Visual Studio Code integration that allows users to prompt OpenAI's GPT-4, GPT-3.5, GPT-3, and Codex models within the editor. It offers features like using improved models via OpenAI API Key, Azure OpenAI Service deployments, generating commit messages, storing conversation history, explaining and suggesting fixes for compile-time errors, viewing code differences, and more. Users can customize prompts, quick fix problems, save conversations, and export conversation history. The extension is designed to enhance developer experience by providing AI-powered assistance directly within VS Code.

kwaak
Kwaak is a tool that allows users to run a team of autonomous AI agents locally from their own machine. It enables users to write code, improve test coverage, update documentation, and enhance code quality while focusing on building innovative projects. Kwaak is designed to run multiple agents in parallel, interact with codebases, answer questions about code, find examples, write and execute code, create pull requests, and more. It is free and open-source, allowing users to bring their own API keys or models via Ollama. Kwaak is part of the bosun.ai project, aiming to be a platform for autonomous code improvement.

wcgw
wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

voice-chat-ai
Voice Chat AI is a project that allows users to interact with different AI characters using speech. Users can choose from various characters with unique personalities and voices, and have conversations or role play with them. The project supports OpenAI, xAI, or Ollama language models for chat, and provides text-to-speech synthesis using XTTS, OpenAI TTS, or ElevenLabs. Users can seamlessly integrate visual context into conversations by having the AI analyze their screen. The project offers easy configuration through environment variables and can be run via WebUI or Terminal. It also includes a huge selection of built-in characters for engaging conversations.

aimeos-typo3
Aimeos is a professional, full-featured, and high-performance e-commerce extension for TYPO3. It can be installed in an existing TYPO3 website within 5 minutes and can be adapted, extended, overwritten, and customized to meet specific needs.

patchwork
PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

tonic_validate
Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

testzeus-hercules
Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

SWELancer-Benchmark
SWE-Lancer is a benchmark repository containing datasets and code for the paper 'SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?'. It provides instructions for package management, building Docker images, configuring environment variables, and running evaluations. Users can use this tool to assess the performance of language models in real-world freelance software engineering tasks.

skynet
Skynet is an API server for AI services that wraps several apps and models. It consists of specialized modules that can be enabled or disabled as needed. Users can utilize Skynet for tasks such as summaries and action items with vllm or Ollama, live transcriptions with Faster Whisper via websockets, and RAG Assistant. The tool requires Poetry and Redis for operation. Skynet provides a quickstart guide for both Summaries/Assistant and Live Transcriptions, along with instructions for testing docker changes and running demos. Detailed documentation on configuration, running, building, and monitoring Skynet is available in the docs. Developers can contribute to Skynet by installing the pre-commit hook for linting. Skynet is distributed under the Apache 2.0 License.

Bard-API
The Bard API is a Python package that returns responses from Google Bard through the value of a cookie. It is an unofficial API that operates through reverse-engineering, utilizing cookie values to interact with Google Bard for users struggling with frequent authentication problems or unable to authenticate via Google Authentication. The Bard API is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API. Therefore, using it for any other purposes is strongly discouraged. If you have access to a reliable official PaLM-2 API or Google Generative AI API, replace the provided response with the corresponding official code. Check out https://github.com/dsdanielpark/Bard-API/issues/262.

robocorp
Robocorp is a platform that allows users to create, deploy, and operate Python automations and AI actions. It provides an easy way to extend the capabilities of AI agents, assistants, and copilots with custom actions written in Python. Users can create and deploy tools, skills, loaders, and plugins that securely connect any AI Assistant platform to their data and applications. The Robocorp Action Server makes Python scripts compatible with ChatGPT and LangChain by automatically creating and exposing an API based on function declaration, type hints, and docstrings. It simplifies the process of developing and deploying AI actions, enabling users to interact with AI frameworks effortlessly.

Fyin
Fyin is an open-source tool that serves as an alternative to Perplexity AI, allowing users to run it locally for faster answers. It features the ability to run locally using ollama or OpenAI API, a local VectorDB for fast search, quick searching, scraping & answering due to parallelism, configurable number of search results to parse, and local scraping of websites. The tool aims to provide a more efficient and customizable solution for obtaining answers through search and scraping functionalities.

talon-ai-tools
Control large language models and AI tools through voice commands using the Talon Voice dictation engine. This tool is designed to help users quickly edit text, code by voice, reduce keyboard use for those with health issues, and speed up workflow by using AI commands across the desktop. It prompts and extends tools like Github Copilot and OpenAI API for text and image generation. Users can set up the tool by downloading the repo, obtaining an OpenAI API key, and customizing the endpoint URL for preferred models. The tool can be used without an OpenAI key and can be exclusively used with Copilot for those not needing LLM integration.
For similar tasks

lexido
Lexido is an innovative assistant for the Linux command line, designed to boost your productivity and efficiency. Powered by Gemini Pro 1.0 and utilizing the free API, Lexido offers smart suggestions for commands based on your prompts and importantly your current environment. Whether you're installing software, managing files, or configuring system settings, Lexido streamlines the process, making it faster and more intuitive.

AgentForge
AgentForge is a low-code framework tailored for the rapid development, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures. It is compatible with a range of LLM models and offers flexibility to run different models for different agents based on specific needs. The framework is designed for seamless extensibility and database-flexibility, making it an ideal playground for various AI projects. AgentForge is a beta-testing ground and future-proof hub for crafting intelligent, model-agnostic autonomous agents.

OSWorld
OSWorld is a benchmarking tool designed to evaluate multimodal agents for open-ended tasks in real computer environments. It provides a platform for running experiments, setting up virtual machines, and interacting with the environment using Python scripts. Users can install the tool on their desktop or server, manage dependencies with Conda, and run benchmark tasks. The tool supports actions like executing commands, checking for specific results, and evaluating agent performance. OSWorld aims to facilitate research in AI by providing a standardized environment for testing and comparing different agent baselines.

tgpt
tgpt is a cross-platform command-line interface (CLI) tool that allows users to interact with AI chatbots in the Terminal without needing API keys. It supports various AI providers such as KoboldAI, Phind, Llama2, Blackbox AI, and OpenAI. Users can generate text, code, and images using different flags and options. The tool can be installed on GNU/Linux, MacOS, FreeBSD, and Windows systems. It also supports proxy configurations and provides options for updating and uninstalling the tool.

CLI
Bito CLI provides a command line interface to the Bito AI chat functionality, allowing users to interact with the AI through commands. It supports complex automation and workflows, with features like long prompts and slash commands. Users can install Bito CLI on Mac, Linux, and Windows systems using various methods. The tool also offers configuration options for AI model type, access key management, and output language customization. Bito CLI is designed to enhance user experience in querying AI models and automating tasks through the command line interface.

oaic
Open AI Cellular is the core software for Open AI Cellular. It provides documentation on installation, quick start guide, and usage. The repository contains submodules and requires sphinx with the read-the-docs theme for building core documentation. The resulting documentation is stored in the 'docs/build/html' directory.

llm2sh
llm2sh is a command-line utility that leverages Large Language Models (LLMs) to translate plain-language requests into shell commands. It provides a convenient way to interact with your system using natural language. The tool supports multiple LLMs for command generation, offers a customizable configuration file, YOLO mode for running commands without confirmation, and is easily extensible with new LLMs and system prompts. Users can set up API keys for OpenAI, Claude, Groq, and Cerebras to use the tool effectively. llm2sh does not store user data or command history, and it does not record or send telemetry by itself, but the LLM APIs may collect and store requests and responses for their purposes.

xlings
Xlings is a developer tool for programming learning, development, and course building. It provides features such as software installation, one-click environment setup, project dependency management, and cross-platform language package management. Additionally, it offers real-time compilation and running, AI code suggestions, tutorial project creation, automatic code checking for practice, and demo examples collection.
For similar jobs

lexido
Lexido is an innovative assistant for the Linux command line, designed to boost your productivity and efficiency. Powered by Gemini Pro 1.0 and utilizing the free API, Lexido offers smart suggestions for commands based on your prompts and importantly your current environment. Whether you're installing software, managing files, or configuring system settings, Lexido streamlines the process, making it faster and more intuitive.

kaito
Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

ai-on-gke
This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources

tidb
TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

nvidia_gpu_exporter
Nvidia GPU exporter for prometheus, using `nvidia-smi` binary to gather metrics.

tracecat
Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

openinference
OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students