Search Results for "state-thread" - Page 26
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Showing 3267 open source projects for "state-thread"
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RealWorld
Exemplary fullstack Medium.com clone powered by React, Angular, Node
...A shared API contract and test suite keep implementations consistent and reveal framework-specific tradeoffs clearly. This makes the repo a powerful teaching tool for architecture, state management, testing, and deployment patterns at production scale. Teams also use it to evaluate new frameworks by building “yet another RealWorld” and measuring DX, bundle size, and maintainability. -
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Clay
High performance UI layout library in C
...Elements can also be created with auto-generated IDs, by using the CLAY_AUTO_ID() macro. Element IDs have two main use cases. Firstly, tagging an element with an ID allows you to query information about the element later, such as its mouseover state or dimensions. Secondly, IDs are visually useful when attempting to read and modify UI code, as well as when using the built-in debug tools. -
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Kueue
Kubernetes-native Job Queueing
Kueue is a set of APIs and controllers for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with... -
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Status - a Mobile Ethereum OS
A free (libre) open source, mobile OS for Ethereum
Status is a secure messaging app, crypto wallet, and Web3 browser built with state-of-the-art technology. Integrated into one powerful super app for private secure communication. Safely send, store and receive cryptocurrencies including ERC20 and ERC721 tokens with the Status crypto wallet. Only you hold the keys to your funds. Status' intuitive design protects you and your funds from attacks. Status uses an open-source, peer-to-peer protocol, and end-to-end encryption to protect your messages from third parties. ... -
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5
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. -
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P-Limit
Run multiple promise-returning & async functions
...Developers create a limiter with a chosen concurrency level and run tasks through it instead of launching every operation immediately. The library works in both Node.js and modern browsers. It exposes counts for currently active and waiting tasks so applications can inspect workload state. Pending work can be cleared, and an optional setting can reject discarded promises with an AbortError. The concurrency limit can also be changed after creation. Additional helpers support concurrency-limited mapping and creating individual functions that automatically manage their own simultaneous executions. -
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P-Queue
Promise queue with concurrency control
...Developers can specify how many tasks may run simultaneously and how many may start within a defined time interval. Queued jobs can receive priorities, identifiers, timeouts, and AbortSignal-based cancellation support. The library exposes events and state information for monitoring active, pending, completed, rate-limited, empty, and idle queue conditions. Backpressure helpers can prevent producers from overwhelming the queue when work arrives faster than it can be processed. Custom queue implementations can also replace the default priority scheduler for specialized scheduling behavior. -
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react-globe.gl
React component for Globe Data Visualization using ThreeJS/WebGL
...Applications can render points, arcs, polygons, paths, heatmaps, tiles, particles, rings, labels, HTML markers, and custom 3D objects. Three.js and WebGL handle the underlying three-dimensional rendering. Developers can combine several geographic layers and update them through normal React state and component workflows. The library is suitable for dashboards, geographic analytics, global networks, satellite displays, maps, and other React applications that require interactive spherical visualization. -
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Sprix SAGE Router
State-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks
Sprix SAGE Router is an open-source routing layer for coordinating agents in Agent2Agent networks. It decides whether an active agent should continue alone, recruit collaborators, or hand a task to another specialist. Routing decisions account for current progress, capability coverage, context-transfer costs, permissions, budgets, and deadlines. The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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neko
A self hosted virtual browser that runs in docker and uses WebRTC
...Users can also share control, making it suitable for collaborative browsing, presentations, teaching, debugging, and watch parties. neko is not restricted to browsers and can stream Linux applications, media players, or complete desktop environments. It can also serve persistent or disposable remote workspaces while keeping cookies and sensitive application state on the remote system. Additional use cases include embedded virtual browsers, automation, RTMP broadcasting, recording, and secure access to internal applications. -
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FlashKDA
High-performance Kimi Delta Attention kernels
...It is intended to accelerate the forward pass used by KDA-based language models on modern NVIDIA GPUs. The package integrates with flash-linear-attention and can be selected automatically as the backend for chunk_kda during inference. It supports recurrent state input and output, variable-length batches, internal gating, query-key normalization, and beta activation. Builds can target the detected GPU architecture or multiple supported architectures for wheels and CI pipelines. The repository also provides correctness tests, benchmark material, a direct Python kernel API, and development helpers for CUDA and C++ tooling. -
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Chat SDK
A unified TypeScript SDK for building chat bots
...It lets developers write bot logic once and deploy it to services such as Slack, Microsoft Teams, Google Chat, Discord, Telegram, GitHub, Linear, WhatsApp, and more. The project provides adapters, event handlers, state handling, slash commands, buttons, modals, cards, file handling, direct messages, and ephemeral messages. It also supports AI streaming patterns for LLM-powered assistants in different chat environments. A CLI can scaffold a minimal Next.js bot app with routes, configuration, dependencies, and environment examples. The SDK is especially useful for teams building cross-platform bots without rewriting the same interaction logic for every service. -
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GoPay Workflow Orchestrator
Lightweight process orchestration framework for regional payment
...It focuses on engineering reliability in multi-stage payment journeys that involve provider redirects, tokenized requests, verification challenges, asynchronous polling, and final status confirmation. The project organizes scattered payment steps into a reproducible and observable process so developers can inspect state transitions and integration failures. It includes an orchestrator-style structure and supporting utilities, including an OTP-forwarding component for controlled testing environments. Because it interacts with payment and verification flows, it should only be used with accounts, systems, and test cases the user is authorized to operate. ... -
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SkillOpt
Text-space optimizer that trains reusable natural-language skills
SkillOpt is a Microsoft research project for improving frozen LLM agents by optimizing reusable natural-language skill documents. Instead of changing model weights, it treats a compact skill file as the trainable state of the agent. The system learns from agent rollouts, reflection, bounded edits, and validation gates to produce better instructions over time. Its output is a deployable best_skill.md artifact that can be reused across agent tasks. The project is focused on making agents more effective through text-space optimization rather than traditional fine-tuning. ... -
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StimulusReflex
Build reactive applications with the Rails tooling you already know
...When a user clicks, types, submits, or triggers another event, the server processes the action and sends DOM updates back to the browser. This lets developers keep validation, persistence, authorization, and state changes close to their existing Rails code. The project is useful for dashboards, forms, admin tools, collaborative interfaces, and dynamic Rails applications that need fast updates with less JavaScript. It is best suited for Rails teams that prefer server-driven interactivity while still delivering a modern, responsive user experience. -
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React Doctor
Your agent writes bad React
React Doctor is a developer tool that scans React codebases and identifies problems that commonly appear in AI-generated or poorly maintained frontend code. It gives projects a clear health score from 0 to 100, making technical issues easier to understand, prioritize, and communicate. The scanner checks areas such as state management, effects, performance, architecture, accessibility, security, and dead code. It works across popular React environments, including Next.js, Vite, and React Native. It can also be installed into coding agents so they learn better React practices before generating new code. For teams, it supports GitHub Actions workflows that can comment on pull requests and expose scores for automated quality gates. -
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Nothing Ever Happens
Focused async Python bot for Polymarket
Nothing Ever Happens is an experimental open-source trading bot designed for the Polymarket platform that implements a deliberately simple and unconventional strategy: automatically buying “No” positions across non-sports binary prediction markets. The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of... -
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AgentScope Java
Agent-Oriented Programming for Building LLM Applications
...The framework includes runtime controls such as safe interruption and graceful cancellation to manage agent execution robustly in production environments. It also supports human-in-the-loop intervention, allowing developers or users to inject guidance at any point during reasoning while preserving state and tool context. Built with enterprise needs in mind, AgentScope Java integrates into traditional Java stacks and provides structured abstractions for memory, workflows, and tool invocation. -
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Free ChatGPT Site List
It collects and organizes a wide variety of ChatGPT resources
Free ChatGPT Site List is an open-source aggregation project that collects and organizes a wide variety of ChatGPT and AI web resources into a single navigable directory. The repository functions primarily as a curated navigation hub where users can discover free AI tools, websites, and services in one place. It was designed to reduce friction for users trying to locate working AI endpoints or utilities across the rapidly changing ecosystem. The project emphasizes simplicity and quick access... -
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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... -
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Rowboat
Open-source AI coworker, with memory
...It functions as both an AI-powered IDE and a CLI that lets you build multi-agent systems using natural language prompts, connect to MCP and agent tool servers, and integrate automations into everyday work tasks like summarizing emails or generating knowledge artifacts. Rowboat stores state and context locally in files that are easy to edit, link, and version control, while its copilot helps architect agent graphs, hook up tools, and refine workflows iteratively based on feedback. -
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StoryGen Atelier
AI-assisted storyboard and video generation tool
StoryGen Atelier is an advanced creative tool that blends AI with visual storytelling, making it possible to generate fully structured storyboards and stitched videos from text prompts without requiring manual art or animation skills. Users begin with natural language descriptions of their story or scene, and the system uses state-of-the-art large models to generate both the script and corresponding frames. Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike. -
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MemMachine
Universal memory layer for AI Agents
MemMachine is a universal memory layer designed for AI agents that provides persistent, rich memory storage and retrieval capabilities so autonomous agent systems can recall context, personal preferences, and long-term interaction history across sessions, models, and use cases. Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. It offers flexible APIs, a Python SDK, REST interfaces, and MCP (Model Context Protocol) connectivity to integrate seamlessly with agent frameworks receiving and storing memories over time, effectively boosting relevance, continuity, and tailored behavior. -
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quiche
Savoury implementation of the QUIC transport protocol and HTTP/3
Cloudflare quiche is an open-source Rust implementation of the QUIC transport protocol and HTTP/3 designed to give developers a performant, flexible foundation for building modern networked applications and services, especially where low latency and efficient multiplexed streams matter. It is a “sans-io” library, meaning it implements the core QUIC and HTTP/3 state machines and logic without assuming how input/output should be done, so applications remain responsible for socket handling, event loops, timers, and other system-dependent I/O work. This design choice makes quiche highly adaptable: it can be used in custom servers, clients, proxies, embedded systems, and experimental protocols with QUIC’s features like 0-RTT, connection migration, and built-in encryption. -
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Mastra
The TypeScript AI agent framework
Mastra is a TypeScript-first framework for building AI-powered applications and agents, designed to take projects from prototype to production on a modern JavaScript/TypeScript stack. It integrates cleanly with React, Next.js, and Node-based backends, but can also run as a standalone server, giving teams flexibility in how they deploy their AI logic. At its core, Mastra provides abstractions for agents, workflows, tools, memory, retrieval, and model routing, so developers can focus on...
