Search Results for "software task pin"
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Showing 11 open source projects for "software task pin"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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MCP Shrimp Task Manager
Shrimp Task Manager is a task tool built for AI Agents
...The server exposes typed tools so clients can create tasks, link prerequisites, record progress, and enforce writing or coding standards for consistent output. It ships with a web/GUI experience and works smoothly inside MCP-capable IDEs, making it useful as both a personal organizer and a programmable task substrate for software projects. Stars, registry listings, and docs point to active usage across the MCP community. The result is a practical “task brain” that agents can query and evolve over time. -
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Taskmaster
An AI-powered task-management system
Taskmaster is an AI-powered task management system designed to enhance AI-driven software development workflows. The project can be integrated into environments such as Cursor, Windsurf, and other AI coding tools to help structure, track, and execute development tasks more effectively. It uses structured task formats and orchestration logic to coordinate how AI assistants plan and complete work. -
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Superpowers
An agentic skills framework & software development methodology
Superpowers Framework is a widely-used agentic skills framework and methodology for software development that equips coding agents like Claude Code with structured capabilities to plan, develop, test, and review code systematically. Instead of simply generating code, Superpowers drives an AI through a thoughtful software engineering workflow that starts with clarifying project intent, teasing out a detailed specification, and creating an implementation plan that is readable and actionable. ... -
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Agent Skills
Production-grade engineering skills for AI coding agents
...A meta-skill helps agents identify which workflow best matches the current task. The skills can be installed in supported coding tools or copied into system prompts and project instruction files. The repository is designed to make agent-assisted engineering more repeatable, disciplined, and auditable. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Get Shit Done
A light-weight and powerful meta-prompting, context engineering
...GSD breaks down big goals into atomic plans, keeps AI context fresh, and automates task execution while generating standardized documentation, roadmaps, and commit histories. -
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GSD Core
Meta-prompting, context engineering, spec-driven development system
GSD Core is the core framework behind Open GSD, a workflow system for AI-assisted software engineering. It is designed to keep agent-driven development organized by turning vague goals into structured research, plans, tasks, implementation phases, verification steps, and handoffs. The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different... -
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CodeMachine
CLI tool for multi-agent workflows and automated code generation
CodeMachine CLI is a command-line orchestration engine designed to run coordinated multi-agent workflows locally. It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything... -
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npati-content-automation
WordPress plugin for content planning, AI-assisted writing, social sch
NPATI Content Automation is a free WordPress plugin that combines editorial planning, AI-assisted content creation, social media scheduling, and NPATI marketplace workflows in one WordPress admin workspace. Plan and manage WordPress articles, import content tasks from CSV or XLSX, organize SEO keywords and publishing dates, and optionally generate content with your own OpenAI API key. The plugin also connects WordPress to NPATI Hub for supported social publishing and scheduling, and... -
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Devon
Open source AI pair programmer for coding, debugging, automation
Devon is an open source AI-powered pair programming tool designed to assist developers with software engineering tasks through natural language interaction. It operates as an agent-based system that can explore codebases, edit files, and execute development workflows with minimal manual intervention. Devon uses a client-server architecture with a Python backend and multiple user interfaces, including a terminal interface and an Electron-based desktop application. Devon integrates with... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Supervised Reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. The fundamental idea is: sample a... -
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ADSKIT
Agents design supporting system for simulation models
Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach.
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