Search Results for "define" - Page 3
Sort By:
Showing 129 open source projects for "define"
View related business solutions-
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.
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
1
Sanity
Rapidly configure content workspaces powered by structured content
...At the core of the system is Sanity Studio, a customizable editing environment built with React that can be configured to match the workflows and content models of different teams. Instead of using predefined content templates, Sanity allows developers to define schemas in code that determine how content is structured and stored. The platform stores data in a real-time backend called the Content Lake, enabling collaborative editing and instant updates across connected applications. Because the system separates content management from presentation, developers can use any front-end framework to display the data. ... -
2
TypeScript Express Starter
Quick and Easy TypeScript Express Starter
Express consists of JavaScript, which makes it vulnerable to type definitions. That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a... -
3
Litmus
Litmus helps SREs and developers practice chaos engineering
...Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment. -
4
Ruler AI
Centralize and sync AI coding rules across tools and projects
...Instead of maintaining separate configuration files for tools like GitHub Copilot, Claude, or Cursor, it stores all rules in a single .ruler/ directory and distributes them automatically. This reduces duplication, avoids inconsistent outputs, and keeps guidance aligned as projects evolve. Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. Designed for teams using multiple AI agents, it improves workflow consistency, simplifies onboarding, and ensures all assistants follow the same standards across projects. -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
5
Design OS
The missing design process between your product idea and your codebase
Design OS is an open-source product planning and UI design framework that sits at the intersection of design thinking and generative AI, guiding creators through a repeatable process from product idea to structured design deliverables. It fills what the maintainers describe as the “missing design process” in AI-first development, helping users define product visions, model data, map user flows, and lay out interfaces before a coding agent begins implementation. The tool is poised to produce production-ready UI components and artifacts that any AI coding tool can consume, encouraging a disciplined front-to-backend workflow that avoids disjointed, reactive design prompts. Design OS emphasizes clarity of intent, consistency of design systems, and exporting usable components rather than just static mockups, which aligns better with automated build pipelines and agent-driven development. -
6
TypeDoc
Documentation generator for TypeScript projects
...The CLI can be used both from your terminal or from npm scripts. All arguments that are not passed with flags are parsed as entry points. Use either the --out or --json arguments to define the format and destination of your documentation. -
7
typeui.sh
Design system skills for agentic tools
...It focuses on improving developer productivity by reducing runtime errors and ensuring consistency across UI components. The framework integrates closely with TypeScript, allowing developers to define interfaces and components with strict type validation. It supports component-based architecture, making it easier to build scalable and maintainable applications. TypeUI also emphasizes reusability, enabling developers to create standardized components that can be shared across projects. Its design encourages clean and predictable code, which is especially valuable in large-scale applications. ... -
8
ChainForge
An open-source visual programming environment
...The platform enables rapid experimentation by generating permutations of prompts and inputs, making it possible to test hundreds of variations in parallel and analyze performance trends more effectively. It also includes evaluation nodes that allow developers to define scoring functions, enabling automated benchmarking of outputs based on custom criteria such as accuracy, formatting, or relevance. -
9
Nimbalyst
Run multiple Codex and Claude Code AI sessions
Crystal is an open-source project focused on building a lightweight and flexible system for managing structured data, workflows, or automation pipelines, typically oriented toward developer productivity and extensible backend tooling. It is designed with modularity in mind, allowing developers to define reusable components and compose them into larger workflows that can adapt to different use cases. The project emphasizes simplicity and clarity, making it easier to understand and extend compared to heavier enterprise frameworks. Crystal often leverages modern programming practices and clean architecture principles to ensure maintainability and scalability as projects grow. ... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
Nexent
Zero-code platform for building AI agents from natural language input
Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. Built on the MCP ecosystem, Nexent integrates a wide range of tools, models, and data sources into a unified environment for agent creation and execution. Nexent supports multi-agent collaboration, enabling multiple intelligent agents to interact and coordinate tasks within complex workflows. ... -
11
OpenWorkflow
Open-source TypeScript framework for building durable workflows
OpenWorkflow is a TypeScript framework for building durable, resumable application workflows that can pause for extended periods and reliably continue execution after crashes or deployments. It allows developers to define workflows as code while ensuring that each step is persisted and replay-safe, preventing duplicate work through built-in memoization and idempotency controls. The framework supports long-running processes that can sleep for seconds or months, making it suitable for background jobs, automation pipelines, and event-driven systems. ... -
12
AIPex
AI browser automation assistant, no migration and privacy first
...It supports modular plugin architecture so teams can extend or customize how assistants behave based on project conventions, code standards, or tooling preferences. AIPex also includes orchestration pipelines that let teams define multi-step AI-driven transformations — for example, generating code then running validation, producing documentation, and opening change requests — all within a unified pattern. -
13
KaraKeep
A self-hostable bookmark-everything app
...Users can group saved items into lists, collaborate with others, and organize content with custom tags and filters. Automatic fetching of link titles, descriptions, and images streamlines saving content without manual edits, while rule-based management lets users define customized workflows. With support for image OCR and structured data extraction, Karakeep functions as a flexible personal knowledge base for researchers, content creators, and heavy bookmarkers. -
14
CheckCle
CheckCle is a self-hosted, open-source monitoring platform
CheckCle is a lightweight CLI tool focused on automating and measuring software project quality by running a variety of checks (linting, formatting, tests, type-checking, and security scans) in a unified, streamlined workflow designed to fit into local development, CI/CD, and pre-commit pipelines. Rather than manually configuring multiple tools, developers define a simple config file that tells checkcle which checks to run and what standards to enforce, letting teams maintain consistent code quality across languages and toolchains. The output is concise and machine-friendly, making it easy to integrate with automated reporting systems or tailor failure thresholds to your team’s taste. It also provides ways to cache or skip previously passed checks to speed up iterative workflows without sacrificing reliability. -
15
Driver.js
A lightweight, dependency-free JavaScript library
Driver.js is a lightweight, framework-agnostic JavaScript library for building guided tours, feature spotlights, and product walkthroughs. It programmatically highlights elements on a page, dims the background, and attaches callouts so users learn new flows without leaving the UI. The API lets you define steps, order, and behavior, while handling positioning, scrolling, and viewport collisions gracefully. It strives to be unobtrusive: tours can be triggered contextually, resumed, or dismissed without hijacking the app. Accessibility and keyboard interaction are considered so tours remain usable beyond simple mouse clicks. Because it has no hard dependency on a specific framework, it integrates into vanilla JS apps or modern stacks alike. -
16
Flags SDK
Flags SDK by Vercel
...The SDK supports AB testing, controlled rollouts, and experimentation, helping developers ship features faster and more efficiently. It features a simple, declarative API to define and use flags, making integration effortless. With Flags SDK, developers can release new features strategically, test them in production without breaking apps, and experiment with confidence. The toolkit ensures the website remains fast while following best practices for feature flag usage. -
17
Redux Toolkit
Toolset for efficient Redux development
The official, opinionated, batteries-included toolset for efficient Redux development. The Redux Toolkit package is intended to be the standard way to write Redux logic. It was originally created to help address main common concerns about Redux. We can't solve every use case, but in the spirit of create-react-app and apollo-boost, we can try to provide some tools that abstract over the setup process and handle the most common use cases, as well as include some useful utilities that will let... -
18
AWS Cloud Development Kit (AWS CDK)
A framework for defining cloud infrastructure in code
The AWS Cloud Development Kit (AWS CDK) is an open source software development framework to define your cloud application resources using familiar programming languages. Provisioning cloud applications can be a challenging process that requires you to perform manual actions, write custom scripts, maintain templates, or learn domain-specific languages. AWS CDK uses the familiarity and expressive power of programming languages for modeling your applications. -
19
ioredis
A performance-focused Redis client for Node.js
...It works with Node callbacks and Native promises. Transformation of command arguments and replies. Transparent key prefixing. Abstraction for Lua scripting, allowing you to define custom commands. Support for binary data. Support for TLS. Support for offline queue and ready checking. Support for ES6 types, such as Map and Set. Support for GEO commands. Support for Redis ACL. Sophisticated error handling strategy. Support for NAT mapping. Support for autopipelining. ioredis supports all of the scripting commands such as EVAL, EVALSHA and SCRIPT. -
20
AngularUI Router
The solution to flexible routing with nested views in AngulaJS
UI-Router provides state based routing. Each feature of an application is defined as a state. One state is active at any time, and UI-Router manages the transitions between the states. Each state describes the URL, the UI (a view or views), data prerequisites, and other logical prerequisites (such as authentication) for a feature. Before activating a state, UI-Router first fetches any prerequisites (asynchronously), and then activates the view(s) and updates the URL. UI-Router states are... -
21
Monokle
Better create, understand, and deploy YAML manifests
Monokle's integrated open-source tools and cloud platform make it easy to define, manage, and enforce Kubernetes YAML configuration policies in minutes. Deploy, manage and audit policies for your teams across the entire configuration lifecycle from a centralized Dashboard. Define polices using 100+ pre-existing rules for Security, Resource Usage, and Compliance. Create your own Validation Extensions for your organization's compliance and conventions. -
22
OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
...The SDK is provider-agnostic, meaning while it’s deeply compatible with OpenAI’s APIs, you can also adapt it to use other backends or extension layers. At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you define structured multi-agent systems in a modular way. The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. ... -
23
Polyglot
Cross-platform AI language practice app
...It is built around conversational large language models and Azure based text to speech services, turning them into an interactive environment for speaking practice in multiple languages. Users can define custom AI personas, choose languages, and configure their own OpenAI and Azure keys so they retain control over which backends they use. The app supports speech recognition with quick keyboard shortcuts, allowing learners to hold down a key to speak and release it to submit for recognition and response. It includes translation features, dark mode, playback of the user’s own recorded speech, and word highlighting that tracks the progress of synthesized audio to make following along easier. ... -
24
Codex Autoresearch
A codex plugin for running optimization loops inside a codebase
...It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers define a goal and verification command, and the agent continuously runs experiments to reach the desired outcome. The framework supports multiple operational modes, including debugging, planning, security auditing, and release validation. It can run unattended for extended periods, producing logs of experiments and improvements. This approach transforms software development into an iterative, evidence-driven optimization process rather than manual trial and error. -
25
Context Mode
Context window optimization for AI coding agents
...It focuses on improving the relevance and accuracy of AI-generated outputs by controlling what information is provided to the model at each step. The project explores structured context management, enabling developers to define how files, code snippets, and metadata are included in prompts. It is particularly useful for large codebases, where naive context inclusion can lead to inefficiency or irrelevant outputs. The system encourages modular and selective context injection, improving both performance and cost efficiency. It also aligns with emerging patterns in AI-assisted development, where context orchestration becomes a critical component of productivity. ...
