Search Results for "execute" - Page 10
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Showing 1617 open source projects for "execute"
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CLIAMP
Terminal music player inspired by winamp
...It focuses on simplifying repetitive development tasks by offering a structured and scriptable environment where commands can be composed and reused efficiently. The tool emphasizes minimalism and speed, allowing developers to execute workflows without leaving the command-line environment. It is particularly useful for developers who prefer keyboard-driven workflows and want to reduce reliance on graphical interfaces. CLIAMP supports extensibility, enabling users to define custom commands or integrate it with other tools in their development stack. Its design aligns with modern CLI tooling trends, prioritizing composability and developer ergonomics. ... -
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mruby
Lightweight Ruby
...It maintains compatibility with modern Ruby syntax while offering a significantly reduced footprint compared to the standard Ruby interpreter. The system includes its own virtual machine, bytecode compiler, and interactive shell, enabling developers to write, compile, and execute Ruby code efficiently. One of its core strengths is its embeddability, allowing developers to integrate scripting capabilities directly into applications written in C or C++. mruby also includes a package system called mrbgems, which enables modular extension of functionality through additional libraries. It supports compiling Ruby scripts into bytecode or even C source code, providing flexibility for deployment in different environments. -
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Ralph Orchestrator
An improved implementation of the Ralph Wiggum technique
Ralph Orchestrator is an AI workflow orchestration system designed to coordinate multiple agents, tools, and processes into structured pipelines that can execute complex tasks autonomously. It provides a framework for defining workflows where different components, such as LLMs, APIs, and custom functions, collaborate to achieve specific objectives. The system emphasizes modularity and composability, allowing developers to design workflows as reusable building blocks that can be combined or extended as needed. ... -
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Biomni
Biomni: a general-purpose biomedical AI agent
...The system is built to support researchers by automating repetitive and time-consuming tasks such as literature review, data analysis, and experimental design. Biomni operates within a comprehensive environment that includes tools, APIs, and datasets, enabling it to execute multi-step research processes rather than just generating text responses. It supports integration with multiple AI models, allowing flexibility in selecting the most appropriate model for specific tasks. -
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Lab
Get up and running with Jenkins on Google Kubernetes Engine
...It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. The project leverages Google Kubernetes Engine to manage containerized applications and uses Jenkins pipelines to define and execute build and deployment processes declaratively. It illustrates how to deploy applications using Kubernetes primitives such as deployments, services, ingress, and secrets, enabling scalable and resilient microservices architectures. The repository also highlights best practices such as GitOps workflows, automated rollouts, and secure credential management within CI/CD pipelines. -
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AGI
The first distributed AGI system
AGI project is an experimental framework focused on building components and infrastructure for artificial general intelligence systems, emphasizing modularity, autonomy, and scalable intelligence pipelines. It aims to provide a foundation for creating agents that can reason, plan, and execute tasks across diverse domains by integrating multiple AI capabilities into a unified system. The project typically explores concepts such as agent orchestration, memory systems, task decomposition, and decision-making loops, enabling the development of more generalized and adaptive AI behaviors. It is designed to be extensible, allowing developers to plug in different models, tools, and data sources to enhance agent performance. ... -
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AgentScope Java
Agent-Oriented Programming for Building LLM Applications
AgentScope Java is an agent-oriented programming framework that enables Java developers to build intelligent, LLM-powered applications using a dynamic reasoning-acting (ReAct) paradigm. It provides a comprehensive toolkit for creating autonomous agents that can plan, execute, and adjust complex workflows, making decisions about which tools to invoke and how to solve multi-step problems. The framework includes runtime controls such as safe interruption and graceful cancellation to manage agent execution robustly in production environments. It also supports human-in-the-loop intervention, allowing developers or users to inject guidance at any point during reasoning while preserving state and tool context. ... -
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Claude Code Plugins Directory
Official, Anthropic-managed directory of high quality Claude Plugins
Claude Code Plugins Directory repository provides a collection of plugins intended to extend Claude’s capabilities by turning the model into a specialized assistant tailored to specific workflows, teams, or organizational needs. These plugins define how Claude should access tools, retrieve data, and execute structured tasks so that outputs become more consistent and production-ready. The project emphasizes customizable automation by allowing developers to encode preferred workflows, domain knowledge, and operational rules directly into plugin configurations. It is built to work with Claude Cowork and Claude Code environments, enabling teams to standardize how AI assistance behaves across different use cases. ... -
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nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
nanocode is a minimalist coding agent implementation designed as a compact alternative to Claude Code, packaged in a single Python file with no external dependencies and totaling around 250 lines of code. It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. It includes a set of integrated tools such as read, write, edit, glob, grep, and bash that let the agent interact with the file system and shell commands directly from the terminal, and it keeps a conversation history with colored terminal output for readability. ... -
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Newsboat
An RSS/Atom feed reader for text terminals
Newsboat is an RSS/Atom feed reader for the text console. It’s an actively maintained fork of Newsbeuter. A feed reader pulls updates directly from sites like blogs and news agencies, and lets you review them in a single interface. Many times, the feed includes the full text of the update, so you don't even need to start a web browser! You can learn more about feed readers on Wikipedia. -
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ShellHub
Get seamless remote access to any Linux device
ShellHub is a centralized SSH gateway that allows users to remotely access and manage their servers and devices from anywhere, using a web browser or a mobile app. It provides a secure and convenient way to connect to and control your servers and devices and can help to improve the security of your servers by preventing unauthorized access. ShellHub incorporates the use of Docker containers to facilitate the integration of new devices into the platform, simplifying configuration. ShellHub... -
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Kotest
Powerful, elegant and flexible test framework for Kotlin
...Powerful, elegant, and flexible test framework for Kotlin with additional assertions, property testing, and data-driven testing. The Kotest test framework enables tests to be laid out in a fluid way and execute them on JVM, Javascript, or native platforms. With built-in coroutine support at every level, the ability to use functions such as test lifecycle callbacks, extensive extension points, advanced conditional evaluation, powerful data-driven testing, and more. The Kotest assertions library is a Kotlin-first multi-platform assertions library with over 300 rich assertions. ... -
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sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
Sparkmagic is a set of tools for interactively working with remote Spark clusters in Jupyter notebooks. Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or... -
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NBInclude.jl
import code from IJulia Jupyter notebooks into Julia programs
NBInclude is a package for the Julia language that allows you to include and execute IJulia (Julia-language Jupyter) notebook files just as you would include an ordinary Julia file. The goal of this package is to make notebook files just as easy to incorporate into Julia programs as ordinary Julia (.jl) files, giving you the advantages of a notebook (integrated code, formatted text, equations, graphics, and other results) while retaining the modularity and re-usability of .jl files. -
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Infiltrator.jl
No-overhead breakpoints in Julia
...Running code that ends up triggering the @infiltrate REPL mode via inline evaluation in VS Code or Juno can cause issues, so it's recommended to always use the REPL directly. When the infiltration point is hit, it will drop you into an interactive REPL session that lets you inspect local variables and the call stack as well as execute arbitrary statements in the context of the current local and global scope. -
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ChainRules.jl
Forward and reverse mode automatic differentiation primitives
The ChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse--, and mixed-mode primitives. The core logic of ChainRules is implemented in ChainRulesCore.jl. To add ChainRules support to your package, by defining new rules or frules, you only need to depend on the very light-weight package ChainRulesCore.jl. This repository contains ChainRules.jl, which is what people actually use directly. ... -
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Alcinoe
Alcinoe Component Library For Delphi
...If you find this project useful, please consider giving it a 'star' on GitHub. It doesn't cost anything, but it helps to promote the code. To set up Alcinoe, first execute CompileAll.bat. This batch file handles a series of tasks: it retrieves and patches the original Delphi source code, downloads the necessary iOS/Android libraries, constructs the Alcinoe JAR files, builds the BPL (Borland Package Library), compiles tools from the {alcinoe}\Tools directory, and finally compiles all demos in the {alcinoe}\Demos directory. ... -
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Spiral Framework
High-Performance PHP Framework for large scale applications
Born out of real-world software development projects, Spiral Framework is a modern PHP framework designed to power faster, cleaner, superior software development. Due to its design and sophisticated application server, Spiral Framework will execute your code up to 10 times faster than Laravel or Symfony without compromising code quality or compatibility with commonly-used libraries. Spiral Framework provides all the tools you need to write secure applications with embedded encryption, CSRF protection, cookie anti-tampering, RBAC authorization, token-based authentication, validation, and more. 10+ years of R&D and design-verification at Spiral Scout has delivered a high-performing framework that already serves dozens of applications on production and drives functionality for millions of users. ... -
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NVExeca
nvm + execa = nvexeca
...To run a specific Node.js version for an entire project or shell session, please use nvm, nvm-windows, n or nvs instead. This package is an ES module and must be loaded using an import or import() statement, not require(). File or command to execute. Both global and local binaries can be executed. The first time nvexeca is run with a new VERSION, the Node binary is downloaded under the hood. This initially takes few seconds. However subsequent runs are almost instantaneous. -
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Sangria
Scala GraphQL implementation
Sangria is a Scala GraphQL implementation. It is an example of GraphQL server written with Play framework and Sangria. It also serves as a playground, where you can interactively execute GraphQL queries and play with some examples. If you want to use sangria with a react-relay framework, then you also may be interested in sangria-relay. Sangria is a spec-compliant GraphQL implementation, so it works out of the box with Apollo, Relay, GraphiQL and other GraphQL tools and libraries. Since GraphQL has a type system, the server defines a schema that the client can query using the introspection API. ... -
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TradingGoose Studio
Technical analysis + LLM powered trading workflows
...It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting real-time market data and applying custom indicators, to generating insights and triggering automated trades or alerts. Users can connect their own data providers and define personalized strategies using programmable indicators, making the system highly flexible for different trading styles. ... -
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Claw Hunter
MDM-ready scripts for detecting and monitoring OpenClaw
Claw Hunter is an open-source security tool designed to detect, analyze, and mitigate risks associated with autonomous AI agents, specifically those built on platforms like OpenClaw. As agentic AI systems gain popularity, they introduce a new class of security challenges because they can execute commands, access files, and interact with external systems with minimal human oversight. Claw-Hunter addresses this emerging threat landscape by providing visibility into these agents, helping organizations identify instances running within their environments. It focuses on uncovering “shadow AI,” which refers to unauthorized or unmanaged AI agents that operate outside traditional security controls. ... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. Developers can integrate external tools and services so that agents can execute actions beyond text generation. -
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Astron Agent
Enterprise platform for building and orchestrating AI agent workflows
...Astron Agent enables organizations to design complex agent-driven processes that coordinate models, automation tools, and enterprise systems. It also integrates robotic process automation capabilities so agents can execute tasks across digital systems instead of only generating responses. Astron Agent supports scalable and high-availability deployments, allowing teams to run reliable AI agent infrastructure in distributed environments. It includes collaboration features that allow teams to develop, manage, and operate AI applications together. With its extensible architecture and enterprise-focused design, it aims to help organizations build production-ready intelligent agent solutions. -
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Shell-AI
LangChain powered shell command generator and runner CLI
Shell-AI is an open-source command-line interface utility that allows users to generate and execute shell commands using natural language prompts. Instead of requiring users to remember complex command syntax, the tool lets them describe their intent in plain English and automatically suggests commands that accomplish the task. The system is powered by large language models and integrates with frameworks such as LangChain to interpret user requests and translate them into executable shell instructions. ...