Search Results for "define" - Page 14
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Showing 1351 open source projects for "define"
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Brick
A declarative Unix terminal UI library written in Haskell
Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. ... -
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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. -
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DevSpace
The Fastest Developer Tool for Kubernetes
...Pushes images to any public or private registry and automatically creates pull secrets if needed. If your project depends on a service which is part of a different git repository, you can add a devspace.yaml config file to each of the repositories and define dependencies between them. -
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Jenkins Docker
Docker jenkins repo
...If your volume is inside a container, you can use a Docker command to extract the data, or other options to find where the volume data is. Note that some symlinks on some OSes may be converted to copies (this can confuse jenkins with lastStableBuild links etc). You can define the number of executors on the Jenkins built-in node using a groovy script. By default it is set to 2 executors, but you can extend the image and change it to your desired number of executors. -
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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. -
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Cobra
A Commander for modern Go CLI interactions
Cobra is a library for creating powerful modern CLI applications, and at the same time a program to generate applications and command files. It provides a simple interface for creating powerful CLI interfaces, and will also generate application scaffolding so you can quickly develop your Cobra-based application. This scaffolding includes easy subcommand-based CLIs, fully POSIX-compliant flags, global, local and cascading flags, among many others. The structure of Cobra is based on... -
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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... -
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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. ... -
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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. ... -
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pyinfra
pyinfra turns Python code into shell commands
pyinfra is a high-performance infrastructure automation and configuration management framework that uses Python instead of YAML to define deployments and operational workflows. The system converts Python code into shell commands and executes them across servers, Docker containers, and local machines through an agentless architecture. Designed as an alternative to tools like Ansible, pyinfra prioritizes speed, scalability, and developer flexibility while maintaining a declarative operational model. ... -
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AutoAgent AI
Autonomous harness engineering
AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s configuration to maximize a scoring metric. The framework uses a single-file agent harness combined with structured tasks and evaluation suites to guide optimization. ... -
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adversarial-spec
A Claude Code plugin that iteratively refines product specifications
adversarial-spec is a framework focused on designing and testing systems using adversarial thinking to uncover weaknesses and improve robustness. It encourages developers to define specifications that anticipate failure modes, edge cases, and malicious inputs before implementing solutions. The project emphasizes proactive design, ensuring that systems are built with resilience in mind from the beginning. It provides structured approaches for identifying vulnerabilities and stress-testing assumptions. The framework can be applied across domains, including software development, AI systems, and security workflows. ... -
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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. ... -
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Ellama
Ellama is a tool for interacting with large language models from Emacs
...It allows users to interact with local or remote models through a unified interface embedded within their editing sessions. The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows. It supports conversational interactions, code assistance, and text transformation tasks, making it useful for both programming and writing scenarios. Ellama integrates with existing Emacs buffers, allowing users to send selected text or entire documents as context for AI operations. ... -
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k-skill
Skill collection for Koreans - SRT, KTX, KakaoTalk, Hangul
...The project emphasizes simplicity and modularity, making it easier to manage large collections of skills in complex environments. It also supports extensibility, enabling users to define custom skills tailored to their needs. Overall, k-skill serves as a foundational layer for building structured and scalable AI agent capabilities. -
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Claude Code Slash Commands
A collection of production-ready slash commands for Claude Code
...It emphasizes clarity and predictability by enforcing schemas and structured definitions for each command, reducing ambiguity in automated workflows. Developers can define custom commands tailored to their applications, making it adaptable to a wide range of use cases including automation, scripting, and AI-assisted development. It is particularly useful in environments where reliability and reproducibility of actions are critical. -
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Aglais XQVM
A rust implementation of the Quip Network's quantum virtual machine
...It integrates with the broader Quip ecosystem, allowing it to function as part of a larger protocol stack that includes blockchain infrastructure and node management tools. The virtual machine abstraction enables developers to define and execute computational logic in a controlled environment, potentially bridging classical and quantum paradigms. Its design suggests use cases in advanced computation, cryptography, or experimental distributed systems. -
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Appyx
Model-driven navigation + UI components with gesture control
Appyx is a modern navigation and UI framework for Jetpack Compose and Compose Multiplatform that introduces a model-driven approach to building application navigation and interactive interfaces. Unlike traditional navigation libraries that rely on predefined patterns such as back stacks, Appyx allows developers to define their own navigation models, giving them full control over how screens and UI elements transition and interact. This model-driven paradigm separates navigation logic from UI rendering, making navigation state testable, reusable, and easier to maintain in large applications. The framework also supports advanced transition animations and gesture-driven interactions, enabling developers to create highly dynamic and visually rich user experiences beyond standard navigation flows. -
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Swap
Currency exchange rates library
...The library supports both real-time and historical exchange rates, making it suitable for financial applications that require accurate and time-sensitive data. One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. Swap also includes optional caching mechanisms to reduce API calls and improve performance in production environments. It integrates seamlessly with frameworks like Symfony and Laravel, making it easy to incorporate into existing PHP applications. -
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Superglue
Builds integrations and tools from natural language
Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle authentication, schema mapping, and data transformation automatically, reducing the need for manual configuration when connecting systems. The platform also includes self-healing capabilities, meaning it can detect and repair failures in workflows when upstream APIs change or break. ... -
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CGraph
A general, three-party dependency-free, cross-platform
CGraph is a high-performance, cross-platform Directed Acyclic Graph (DAG) framework implemented in pure C++ with no third-party dependencies, designed for building complex task pipelines and parallel execution workflows. It allows developers to model computational processes as graph structures, where nodes represent tasks and edges define dependencies, enabling efficient scheduling and execution. The framework includes a pipeline system that supports sequential and parallel execution, conditional branching, aggregation, and loop control, making it highly flexible for advanced workflows. Developers can extend the system by defining custom nodes and grouping them into logical structures, allowing fine-grained control over execution behavior. ... -
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EvoAgentX
Self-evolving AI agent framework for automated workflows
...It moves beyond static pipelines by introducing a self-evolving system where agents are automatically generated, tested, and optimised through iterative feedback. Developers can define goals in natural language, while the framework handles workflow creation, execution, and refinement. Its modular architecture supports layered components for agents, workflows, evaluation, and evolution, enabling flexible experimentation and scaling. EvoAgentX integrates optimisation algorithms to refine prompts, tool usage, and workflow structures over time. ... -
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LitServe
Minimal Python framework for scalable AI inference servers fast
LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. ... -
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BehaviorTree.CPP
C++ behavior tree library for robotics and AI decision systems
BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. It supports asynchronous actions, enabling long-running tasks without blocking the execution of the entire tree. ... -
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PySpur
Visual tool for building, testing, and deploying AI agent workflows
PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. By offering a visual representation of workflows, PySpur makes it easier to debug interactions between components and identify failures in complex pipelines. ...
