Search Results for "task"
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Showing 47 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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Machinery
Machinery is an asynchronous task queue/job queue
...In order to consume tasks, you need to have one or more workers running. All you need to run a worker is a Server instance with registered tasks. Each worker will only consume registered tasks. For each task on the queue the Worker.Process() method will be run in a goroutine. Use the second parameter of server.NewWorker to limit the number of concurrently running Worker.Process() calls (per worker). Example: 1 will serialize task execution while 0 makes the number of concurrently executed tasks unlimited (default). -
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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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GoGogot
Lightweight self-hosted AI agent
...The project is particularly suited for developers who want to experiment with automation concepts without adopting complex infrastructure. Overall, GoGogot serves as a lightweight entry point into agent-driven or automated task execution systems. -
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5
Hatchet
A distributed, fault-tolerant task queue
Hatchet replaces difficult to manage legacy queues or pub/sub systems so you can design durable workloads that recover from failure and solve for problems like concurrency, fairness, and rate limiting. Instead of managing your own task queue or pub/sub system, you can use Hatchet to distribute your functions between a set of workers with minimal configuration or infrastructure: -
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Ansible Semaphore
Modern UI for Ansible
...Each successful project will ultimately require the use of CI/CD practices. We understand this and therefore are actively developing Ansible Semaphore in this direction. The separation of task into build and deployment allows you to safely update your production environment. The pipeline is a key element of any CI/CD system. Thanks to it, the system goes from code to finished product. Ansible Semaphore is beautiful web interface for running Ansible playbooks. You do not need to change your playbooks to start using it. -
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Buffalo
Rapid Web Development w/ Go
A Go web development eco-system, designed to make your life easier. If you’re familiar with Rake tasks from Ruby, you’ll be right at home using Grift. Seeding a database, and running a cleaning job is now at hand! Running background tasks is easy too, using the Background Workers. Writing a web application module always begins with the same tasks. Buffalo provides you a simple toolbox, the buffalo command, to generate many parts of your app and run the usual tasks. Extend the toolbox with... -
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ENScan Go
ENScan_GO is an enterprise information reconnaissance tool
...The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. The project is maintained under Apache-2.0 and is positioned for both single-shot queries and batch investigations. -
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Beads Viewer
Task management system for coding agents
Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight... -
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Beads
A memory upgrade for your coding agent
Beads is an open-source project providing a distributed, structured memory system for AI coding agents, replacing ad-hoc text plans with a git-backed graph that represents tasks, dependencies, and progress in a persistent, queryable format. Instead of storing plans as unstructured Markdown or ephemeral notes, Beads organizes agent state, task artifacts, and relationships as nodes and edges in a version-controlled graph so that long-horizon projects don’t lose context or coherence as the agent proceeds. This approach helps coding agents — and human collaborators — track which tasks depend on others, what has been done, and where workflows branch or reunify without losing important data. ... -
11
Plandex
AI driven development in your terminal
Plandex is an AI-powered project planning and scheduling tool that optimizes resource allocation and workflow efficiency using predictive algorithms. -
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mo - Monads
Monads and popular FP abstractions, powered by Go 1.18+ Generics
mo - Monads is a functional programming utility library for Go that introduces monads and related abstractions using modern Go generics. The project brings well-known FP constructs such as Option, Result, Either, Future, IO, and Task into the Go ecosystem to help developers write safer and more composable code. By leveraging generics introduced in Go 1.18+, the library provides strong type safety without relying on reflection or code generation. It is particularly useful for managing nullable values, error propagation, asynchronous workflows, and functional pipelines in a predictable way. ... -
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ClaraVerse
Claraverse is a opesource privacy focused ecosystem to replace ChatGPT
...ClaraVerse also includes task-tracking capabilities that allow complex research, coding, or analysis jobs to run in the background while users monitor their progress through a dashboard. -
14
Sidekick
Bare metal to production ready in mins; your own fly server
Sidekick is an open-source assistant application built to act as a specialized productivity companion, integrating AI capabilities into daily workflows like note-taking, task management, and contextual knowledge lookup. It provides a responsive interface where users can interact with AI to draft content, ask questions about projects, summarize lengthy text, and generate ideas or outlines, effectively serving as an intelligent extension of traditional productivity tools. Sidekick also includes structured tools like lists, reminders, and project folders so that users can combine generative assistance with tangible organizational frameworks. ... -
15
pg_timetable
pg_timetable: Advanced scheduling for PostgreSQL
pg_timetable is a flexible job scheduler for PostgreSQL that allows scheduling of SQL or shell tasks directly within the database. It supports complex workflows, error handling, and dependency management, making it a powerful alternative to cron or external schedulers for database-related jobs. -
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SchemaHero
A Kubernetes operator for declarative database schema management
SchemaHero is an open-source database schema migration tool that converts a schema definition into migration scripts that can be applied in any environment. Written as both a CLI utility and a Kubernetes Operator, SchemaHero eliminates the task of creating and managing sequenced migration scripts that are compatible with all environments in which an application is running. -
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Act
Run your GitHub Actions locally
When you run Act it reads in your GitHub Actions and determines the set of actions that need to be run. It uses the Docker API to either pull or build the necessary images, as defined in your workflow files, and finally determines the execution path based on the dependencies that were defined. Once it has the execution path, it then uses the Docker API to run containers for each action based on the images prepared earlier. The environment variables and filesystem are all configured to match... -
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Vikunja
The to-do app to organize your life
Vikunja is a modern to-do list and personal organization platform designed to help individuals and teams keep track of tasks, projects, and life goals in one place with intention and simplicity. It’s a self-hosted, open-source app with a backend API and frontend clients that let you create tasks, organize them into lists or projects, set due dates and priorities, and collaborate with teammates or family members. Unlike many simplistic check-off lists, Vikunja provides options for nested... -
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PentAGI
Perform penetration testing tasks
PentAGI is a fully autonomous AI agent system designed to perform complex penetration testing tasks by orchestrating multiple intelligent components into a coordinated offensive security workflow. The platform aims to automate significant portions of the penetration testing lifecycle, including reconnaissance, vulnerability discovery, and exploitation planning, reducing the amount of manual effort required from security professionals. It leverages agent-based architecture and AI reasoning to... -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
Built on the simple mechanics of resources, tasks, and jobs, Concourse presents a general approach to automation that makes it great for CI/CD. Concourse is designed to be expressive, versatile, and safe, remaining intuitive as the complexity of your project grows. A Concourse pipeline is like a distributed, continuous Makefile. Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only... -
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Docker Agent
AI Agent Builder and Runtime by Docker Engineering
Docker Agent is an open-source multi-agent runtime developed by Docker that enables developers to define, run, and orchestrate AI agents using simple declarative configuration files instead of traditional code-heavy approaches. It introduces a YAML-based configuration model where users describe agent behavior, tools, models, and interaction logic in a single file, significantly reducing complexity in building AI systems. The runtime supports multi-agent collaboration, allowing specialized... -
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Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also supports agent self-learning by distilling structured skills and experiences from previously completed tasks, which can later be reused or searched to improve future performance. ... -
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ADK Go
Code-first Go toolkit for building, evaluating, and deploying AI agent
...ADK-Go applies traditional software engineering principles to agent development, making it easier to structure, test, and maintain complex agent-based systems. It supports building both simple task-oriented agents and more advanced multi-agent architectures that collaborate to perform workflows. It is designed to be modular and flexible, allowing developers to integrate custom tools, external services, or existing functionality into agent workflows. Although optimized for certain AI ecosystems, ADK-Go is model-agnostic and can work with different models and deployment environments. -
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openclaw-kapso-whatsapp
Give your OpenClaw AI agent a WhatsApp number
openclaw-kapso-whatsapp is a plugin repository designed to extend the OpenClaw AI agent by giving it a dedicated WhatsApp phone number using the official Meta Cloud API via Kapso, enabling direct interaction through one of the most widely used messaging platforms. This integration allows the autonomous AI assistant to send and receive messages on WhatsApp, turning the agent into a real-world task performer accessible through text conversations. The plugin is built in Go and handles communication entirely through cloud APIs, avoiding the risk of bans that come with unofficial or reverse-engineered interfaces. Projects like this make it possible for OpenClaw users to automate tasks, interact with personal contacts, or provide AI-driven services without building a custom bot infrastructure from scratch. ... -
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Wanwu AI Agent Platform
Enterprise AI agent platform for workflows, models, and RAG apps
Wanwu is an enterprise-grade AI agent development platform designed to help organizations build and deploy intelligent applications at scale. It provides a multi-tenant environment that enables teams to create AI agents, orchestrate workflows, and implement retrieval-augmented generation systems within a unified framework. Wanwu integrates large language models with business process automation, allowing developers to design complex, production-ready AI solutions tailored to enterprise needs....
