Search Results for "task"
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Showing 590 open source projects for "task"
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Task
A task runner / simpler Make alternative written in Go
Task is a task runner / build tool that aims to be simpler and easier to use than, for example, GNU Make. Since it's written in Go, Task is just a single binary and has no other dependencies, which means you don't need to mess with any complicated install setups just to use a build tool. Easy installation: just download a single binary, add to $PATH and you're done! -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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Celery
Distributed task queue (development branch)
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. ... -
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Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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PowerShell
Command-line shell and scripting language built on .NET
Powershell is a cross-platform, task-based command-line shell and scripting language that helps rapidly automate tasks that manage operating systems (Linux, macOS and Windows) and processes. It works well with existing tools and is optimized for dealing with structured data, REST APIs and object models. PowerShell was developed by Microsoft as a task management and configuration management framework. -
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Babashka
Native, fast starting Clojure interpreter for scripting
...Besides the built-in libraries, babashka is able to load libraries from source, tapping into the world of already existing Clojure libraries. Babashka supports real JVM threads and like Clojure, supports futures and dynamic thread-locally bound vars. Babashka features a built-in task runner which covers the most popular use cases of make, just and npm scripts. Babashka can shell out to other CLI programs like you are used to in bash. It goes one step further and offers seamless integration with other binaries using the pod protocol. -
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Moon Repo
A build system and monorepo management tool for the web ecosystem
Moon is a build system and project management tool designed to handle monorepos, providing efficient workflows and task orchestration for large-scale projects. -
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listr2
NodeJS Task List derived from the best
Listr2 is a task runner for Node.js that provides an elegant interface for managing asynchronous and interactive command-line tasks. It is often used in build scripts and automation workflows. -
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Tegon
Tegon is an open-source, AI-first alternative to Jira, Linear
Tegon is an AI-first, open-source issue-tracking software that uses AI to smartly automate manual tasks, and workflows or provide more context to engineers for a given task. Manual efforts in task management, such as task triaging and backlog maintenance, can be time-consuming. Engineers often lose time navigating multiple platforms to gather task context, rather than accessing details within the task itself. Issue tracking tools serve as a task database, directing engineers on what to work on but not aiding in faster task completion. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Pixi
Package management made easy
...Designed to streamline software development workflows, Pixi offers a declarative approach to managing environments and dependencies across multiple programming languages. Its compatibility with conda ensures access to a vast array of packages, while introducing enhancements like lockfiles and task automation to improve reproducibility and efficiency. -
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dsh-routing-suite
dsh-routing-suite — injector + router-standard kit
DSH Routing Suite packages a runtime injector and task-aware reasoning presets for the DSH agent environment. Its injector can add, hot-reload, promote, remove, and repair routes without restarting the runtime. The included router presets choose among planning, execution, weak self-classification, and deeper reasoning behaviors based on the task and model. Near-field guidance is injected after user messages to keep routing focused and resist drift. -
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Goose Developer Agent
Goose is a developer agent that operates from your command line
...Guided by you, it can intelligently assess your project's needs, generate the required code or modifications, and implement these changes on its own. Goose can interact with a multitude of tools via external APIs such as Jira, GitHub, Slack, infrastructure and data pipelines, and more -- if your task uses a shell command or can be carried out by a Python script, Goose can do it for you too! Like semi-autonomous driving, Goose handles the heavy lifting, allowing you to focus on other priorities. Simply set it on a task and return later to find it completed, boosting your productivity with less manual effort. -
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QingLong
Timed task management platform supporting Python3
QingLong is a web-based scheduled-task management platform for running automation scripts in several programming languages. It supports Python 3, JavaScript, Shell, and TypeScript jobs from one administrative interface. Users can create and manage scripts, environment variables, and configuration files directly through the browser. Task schedules can be defined with second-level precision for workflows that require frequent execution. -
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AriaNg Native
A better aria2 desktop frontend than AriaNg, containing all features
...User-friendly interface. Sort tasks (by name, size, progress, remaining time, download speed, etc.), files, and BitTorrent peers. Search tasks. Retry tasks. Adjust task order by dragging. More information on tasks (health percentage, client information of bt peers, etc.) Filter files by specified file types (videos, audio, pictures, documents, applications, archives, etc.) or file extensions. Tree view for the multi-directory task. Download/upload speed chart for aria2 or single task. Full support for aria2 settings. -
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Database-backed Periodic Tasks
Celery Periodic Tasks backed by the Django ORM
This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run. Usage and installation instructions for this extension are available from the Celery documentation. If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone. -
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Toast
Containerize your development and continuous integration environments
...You define tasks in a YAML file called a toastfile, and Toast runs them in a containerized environment based on a Docker image of your choosing. What constitutes a "task" is up to you, tasks can install system packages, build an application, run a test suite, or even serve web pages. Tasks can depend on other tasks, so Toast can be understood as a high-level containerized build system. Toast caches each task by committing the container to an image. The image is tagged with a cryptographic hash of the shell command for the task, the contents of the files copied into the container, and all the other task inputs. ... -
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nature-skills
Skill that conforms to the academic expression and scientific research
...It appears to focus on modularity and interoperability, allowing skills to be combined, extended, or integrated into broader agent ecosystems. The repository is designed to support experimentation with multi-step reasoning, task automation, and contextual tool orchestration for agentic AI systems. By standardizing reusable capabilities, the project helps developers build more maintainable and extensible AI workflows. Overall, nature-skills contributes to the growing ecosystem of modular AI agent tooling and structured automation frameworks. -
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Hardhat
Hardhat is a development environment to compile, deploy, test
...Check out the plugin list to use it with your existing tools. Hardhat Runner is the main component you interact with when using Hardhat. It's a flexible and extensible task runner that helps you manage and automate the recurring tasks inherent to developing smart contracts and dApps. Easily deploy your contracts, run tests and debug Solidity code without dealing with live environments. Hardhat Network is a local Ethereum network designed for development. Hardhat is the best choice for Solidity debugging. ... -
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Asynq
Simple, reliable, and efficient distributed task queue in Go
...It's backed by Redis and is designed to be scalable yet easy to get started. Client puts tasks on a queue. Server pulls tasks off queues and starts a worker goroutine for each task. Tasks are processed concurrently by multiple workers. Task queues are used as a mechanism to distribute work across multiple machines. A system can consist of multiple worker servers and brokers, giving way to high availability and horizontal scaling. Ability to pause queue to stop processing tasks from the queue. Periodic Tasks. ... -
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Brighter
A framework for building messaging apps with .NET and C#
This project is a Command Processor & Dispatcher implementation with support for task queues that can be used as a lightweight library. It can be used for implementing Ports and Adapters and CQRS (PDF) architectural styles in .NET. It can also be used in microservices architectures for decoupled communication between the services. Brighter supports Task Queues. As such it can be used to improve performance by introducing concurrency using a queue, and/or as an integration strategy between Microservices using messaging via a lightweight broker. ... -
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Monitor scheduled tasks in a Laravel app
Monitor scheduled tasks in a Laravel app
This package will monitor your Laravel schedule. It will write an entry to a log table in the db each time a scheduled task starts, ends, fails, or is skipped. Using the list command you can check when the scheduled tasks have been executed. -
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workerpool
Offload tasks to a pool of workers on node.js and in the browser
workerpool is a JavaScript library that simplifies the creation and management of worker threads and process pools for parallel task execution in Node.js and browser environments. The project provides an abstraction layer that allows developers to offload CPU-intensive operations to background workers without manually handling thread communication or lifecycle management. It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. ... -
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bu-agent-sdk
An agent is just a for-loop
The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. This lightweight design means developers can rapidly prototype AI agent behavior, test custom tools, and integrate models like Anthropic’s Claude with minimal overhead. -
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Rust
Rust tools, libraries
...It is not a single product with one narrow feature set, but a collection of reusable Rust code organized around the author’s development workflow. The repository is designed to work with the author’s Flow task runner, which provides setup, task discovery, and deployment commands. Some utilities can be compiled and installed into the user’s local path through project-specific deploy commands. The project is useful as a reference for how a developer organizes practical Rust tooling across many small programs. Its main value is as a living toolkit for experimentation, automation, and personal productivity in the Rust ecosystem. -
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SIA
AI framework to autonomously improve the performance of any AI system
SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code optimization, and scientific workflows. ...
