Search Results for "delphi runtime code" - Page 10
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Showing 1130 open source projects for "delphi runtime code"
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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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why-is-node-running
For when Node is running but you don't know why
why-is-node-running is a diagnostic tool for Node.js developers that helps answer the question: “why is my Node.js process still alive?” In complex asynchronous code — with timers, open handles, network sockets, file watchers, or unfulfilled promises — it can be tricky to figure out what is preventing the event loop from exiting. This utility inspects the active handles and resources in the runtime, prints a breakdown of open callbacks, sockets, timers, and other tasks, and explains what’s keeping Node running, helping you track down leaks or unintended resource retention. ... -
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Swift Composable Architecture
A library for building applications
The Swift Composable Architecture (TCA) is a reusable, testable architecture library for building Swift applications using unidirectional data flow, reducers, and dependency injection. It encourages modular code, easy state management, and full test coverage. Designed and authored by the Point-Free team with extensive real-world examples. -
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SnapKit
A Swift Autolayout DSL for iOS & OS X
SnapKit is a Swift DSL that simplifies Auto Layout for iOS and macOS. It uses expressive chaining syntax to create layout constraints in code more cleanly and concisely than native APIs. Compatible with Swift Package Manager, CocoaPods, and Carthage—used extensively in iOS/macOS UI development. -
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Cumora
Where agent teams gather. Cross-platform team chat
...Agents can maintain personas and memory, claim tasks, coordinate with one another, send and receive email, and use shared Kanban and calendar views. Teams can run agents through Cumora Cloud or bring their own Claude Code or Codex environment from a Mac or VPS. Cloud agents receive isolated runtime pods with access to tools such as shell commands, files, browsers, email, memory, and skills. Coordination safeguards help prevent agents from duplicating or overwriting one another's work. The interface is available across desktop, web, iOS, and Android clients built from a shared React-based frontend. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Flux
Open and extensible continuous delivery solution for Kubernetes
Flux is a tool for keeping Kubernetes clusters in sync with sources of configuration (like Git repositories and OCI artifacts), and automating updates to the configuration when there is new code to deploy. Flux version 2 ("v2") is built from the ground up to use Kubernetes' API extension system, and to integrate with Prometheus and other core components of the Kubernetes ecosystem. In version 2, Flux supports multi-tenancy and support for syncing an arbitrary number of Git repositories,... -
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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... -
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Stremio Core
Types, addon system, UI models, core logic
Stremio Core is the Rust engine that powers Stremio’s apps by centralizing all reusable logic behind discovery, catalogs, metadata, streams, add-ons, and user/library state. It exposes a clean set of modules—types, addon_transport, and state_types—so apps can talk to add-ons, model UI state, and react to events without duplicating code. The architecture is inspired by Elm: immutable state, message-driven updates, and explicit side-effects (“effects”) keep behavior predictable and testable.... -
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GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
...We provide official integrations for these proven GraphQL packages to provide a simple way to use GraphQL with Nest. Nest offers two ways of building GraphQL applications, the code first and the schema first methods. You should choose the one that works best for you. -
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Growth Lab
An end-to-end growth tool that understands the product
Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence, actions, results, and recommended next steps. ... -
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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Zen C
Write like a high-level language, run like C
...It provides a clean syntax and semantics that closely mirror classic C while enforcing stricter rules to eliminate common pitfalls like undefined behaviors or hidden conversions that often cause bugs. Zen-C includes a lightweight compiler front-end and runtime that can target multiple platforms, enabling users to compile and run code on both desktop and embedded environments without heavy tooling. Because it prioritizes clarity and predictability, the language makes it easier for learners to understand core systems concepts while still accessing low-level memory control and performance. -
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AutoAgent
AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework
AutoAgent is a fully automated, zero-code LLM agent framework that lets users create agents and workflows using natural language instead of manual coding and configuration. It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. The framework emphasizes self-managing workflow generation, where it can... -
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Google Authenticator PAM Library
Example PAM module demonstrating two-factor authentication
google-authenticator-libpam is a Pluggable Authentication Module (PAM) that adds one-time passcodes to Unix and Linux logins using open OATH standards. It plugs into PAM stacks for services like SSH, su, or desktop display managers, prompting users for a time-based (TOTP) or counter-based (HOTP) code after their password. A lightweight enrollment program bootstraps each account by generating a secret, printing a QR code, and writing per-user configuration with safe file permissions. Because verification happens locally, codes work offline and do not depend on any Google service, which suits high-security and air-gapped environments. ... -
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Agent Apprenticeship
The living ecosystem where AI agents complete tasks
...It lets local agents complete tasks through iterative workflow loops, then records the process as experience that can improve future agents. Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. It is designed for long-horizon agent work, workflow evaluation, runtime training, and shared improvement across an agent ecosystem. -
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AI Dev Tasks
A simple task management system for managing AI dev agents
AI Dev Tasks is a Markdown-based task management system for AI-assisted software development. It provides structured prompt files that guide an AI coding assistant through feature planning, PRD creation, task breakdown, and implementation checkpoints. The project is designed to work with AI-powered IDEs and CLI agents such as Amp, Claude Code, Windsurf, and similar tools. Instead of asking an agent to jump directly into code, users can follow a staged process that clarifies requirements... -
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Harmonist
Portable AI agent orchestration with mechanical protocol enforcement
Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail integrity checks, Harmonist can block the workflow from completing. ... -
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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. Stlite supports a wide range of Python libraries and enables real-time interactivity, making it suitable for dashboards, data visualization tools, and educational applications. ... -
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Agentic Coding Flywheel Setup
System tool for beginners wanting agentic engineering capabilities
Agentic Coding Flywheel Setup (ACFS) is a comprehensive environment bootstrap project that configures a full stack of tools for autonomous AI-assisted coding workflows. With a single shell installer, ACFS transforms a fresh compute environment into a ready-to-use development setup that includes modern shells, language runtimes, AI coding agents (like Claude Code, Codex CLI, and Gemini CLI), and a coordinated toolchain for orchestration and safety. The system is designed for developers who... -
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Laravel Horizon
Dashboard and code-driven configuration for Laravel queues
Horizon provides a beautiful dashboard and code-driven configuration for your Laravel-powered Redis queues. Horizon allows you to easily monitor key metrics of your queue system such as job throughput, runtime, and job failures. All of your worker configuration is stored in a single, simple configuration file, allowing your configuration to stay in source control where your entire team can collaborate. -
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Ludwig AI
Low-code framework for building custom LLMs, neural networks
Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. -
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AWS SDK for Java 2.0
The official AWS SDK for Java - Version 2
...The SDK provides both synchronous clients and a high-performance asynchronous stack built on event-driven HTTP, enabling reactive pipelines and high-throughput services. Models are immutable and builders are pervasive, leading to safer code and clearer intent. Credential providers, region resolution, retries, and paginators are redesigned with extensibility in mind, and integrations are available for common observability and HTTP client choices. For teams starting new Java projects on AWS, v2 is the default choice due to its modularity, improved ergonomics, and better runtime characteristics. -
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Hexagon
Hexagon is a microservices toolkit written in Kotlin
Hexagon is a microservices toolkit written in Kotlin. Its purpose is to ease the building of server applications (Web applications or APIs) that run inside a cloud platform. The Hexagon Toolkit provides several libraries to build server applications. These libraries provide single standalone features and are referred to as "Ports". -
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omegaml
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
omega|ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products. Works from laptop to cloud. -
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Kotlin multiplatform
Kotlin multiplatform / multi-format serialization
Kotlin serialization consists of a compiler plugin, that generates visitor code for serializable classes, a runtime library with core serialization API, and support libraries with various serialization formats. Using Kotlin Serialization requires Kotlin compiler 1.4.0 or higher. Make sure you have the corresponding Kotlin plugin installed in the IDE, no additional plugins for IDE are required. -
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WebLLM
Bringing large-language models and chat to web browsers
WebLLM is a modular, customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration. WebLLM offers a minimalist and modular interface to access the chatbot in the browser. The WebLLM package itself does not come... -
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v86
x86 PC emulator and x86-to-wasm JIT, running in the browser
v86 is an open-source x86 PC emulator that runs entirely in the browser using WebAssembly for near-native performance. It translates x86 machine code into WebAssembly at runtime, enabling users to boot and run full operating systems without installing anything locally. The emulator supports a wide range of legacy systems, including Linux, Windows 95/98/2000, FreeDOS, and various experimental OSes. It simulates essential hardware components such as CPU, memory, VGA graphics, sound cards, network adapters, and storage controllers. ...
