Search Results for "state-thread" - Page 27
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Showing 2735 open source projects for "state-thread"
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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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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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1
Ammonite
Scala Scripting
...Instead of having to set up an sbt project for many small tasks, one can write Scala scripts (with .sc extension) and run them directly, with Ammonite handling compilation and execution transparently. In the REPL, Ammonite can survive compiler errors (by restarting the compiler internally) and preserve session state, improving resilience compared to the default Scala REPL. It also integrates filesystem utilities and command-line abstractions (via Ammonite-Ops) so that common shell tasks become more Scala-native. -
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ModelScope
Bring the notion of Model-as-a-Service to life
...The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. In particular, with rich layers of API abstraction, the ModelScope library offers unified experience to explore state-of-the-art models spanning across domains such as CV, NLP, Speech, Multi-Modality, and Scientific-computation. Model contributors of different areas can integrate models into the ModelScope ecosystem through the layered APIs, allowing easy and unified access to their models. Once integrated, model inference, fine-tuning, and evaluations can be done with only a few lines of code. -
3
Livebook
Interactive and collaborative code notebooks for Elixir
...Query databases, plot charts, build maps, and more directly from Livebook's UI. Reproducible: Livebook ensures your code runs in a predictable order, all the way down to package management. It also tracks your notebook state, annotating which parts are stale. Collaboration: multiple users can work on the same notebook at once, no additional setup is required. -
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Optional Fund Assistant
Quickly obtain real-time data of the funds of interest
Self-selected fund assistants can view the funds you are concerned about in real-time and help you quickly obtain real-time data. It can be used to view the real-time valuation of your self-selected funds, and you can freely increase or decrease the self-selected funds. Your self-selected fund data will be synchronized with your account. After buying the fund, I have been looking for a chrome extension for PC. After all, the trading hours of stocks are carried out on working days.... -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Infracost
Cloud cost estimates for Terraform in pull requests
Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. ... -
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visx
Visualization components
...At Airbnb, we made it a goal to unify our visualization stack across the company and in the process, we created a new project that brings together the power of D3 with the joy of React. visx is split into multiple packages. Start small and use only what you need. Bring your own state management, animation library, or CSS-in-JS solution. Odds are good your React app already has an opinion on how animation, theming, or styling is done. visx is careful not to add another one and integrates with all of them. As you start using visualization primitives, you’ll end up building your own charting library that’s optimized for your use case. ... -
8
SuperBased
Local-first control plane for AI coding agents
...Its optional reverse proxy captures provider-billed token details for more accurate cost attribution. A local dashboard, CLI, MCP server, and VS Code extension expose sessions, files, tokens, costs, and runtime state. Twenty-seven supported tools can also be launched as managed terminal sessions. Data stays on the user's machine by default, with no telemetry or remote reporting unless optional cloud features are explicitly enabled. SuperBased also supports backfills, resumable sessions, Tailscale-based remote viewing, and configurable compression profiles. -
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abtop
Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI
abtop is a terminal monitoring tool for AI coding agents, inspired by system monitors like htop and btop. It gives users a real-time view of active Claude Code, Codex CLI, and OpenCode sessions from local process and file state. The dashboard helps developers track token usage, context window percentage, rate limits, child processes, open ports, and multiple active profiles. It is read-only, so it does not require API keys or authentication and does not control the agents it observes. abtop is especially useful for developers running several agents across projects who need quick visibility into cost, quota pressure, context growth, and orphaned processes. ... -
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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RecursiveMAS
Offical Implementation for "Recursive Multi-Agent Systems"
RecursiveMAS is an advanced multi-agent AI framework that introduces a recursive collaboration mechanism to improve reasoning and problem-solving across multiple agents. Instead of treating agents as independent units exchanging text outputs, it connects them through a shared latent computation loop, allowing internal “thought states” to be passed and refined iteratively. This recursive structure enables agents to build on each other’s intermediate reasoning, leading to deeper and more... -
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Output
TypeScript framework for building AI workflows and agents
...Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
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PO UI
Angular component library
...It emphasizes productivity by offering ready-to-use components that reduce development time and enforce best practices in UI design. po-angular is designed with scalability in mind, supporting large applications with complex workflows and data structures. It also integrates well with Angular’s architecture, ensuring compatibility with services, routing, and state management patterns. -
13
Appyx
Model-driven navigation + UI components with gesture control
...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. -
14
Dominator
Zero-cost ultra-high-performance declarative DOM library using FRP
Dominator is a high-performance declarative DOM library for Rust that focuses on building web applications with minimal overhead by directly manipulating real DOM nodes instead of relying on a virtual DOM. It uses a functional reactive programming model based on signals, allowing UI components to automatically update in response to state changes in an efficient and predictable manner. The library is designed to be “zero-cost,” meaning that abstractions compile down to highly optimized code with no unnecessary runtime overhead. Updates are handled in constant time regardless of application size, making it highly scalable for complex interfaces. Its API is inspired by component-based frameworks like React, but tailored to Rust’s ownership model and compiled to WebAssembly for browser execution. ... -
15
tachyonfx
Effects and animation library for Ratatui applications
tachyonfx is a Rust-based animation and effects library designed specifically for terminal user interfaces built with the Ratatui ecosystem, enabling developers to add visually rich transitions and dynamic behavior to text-based applications. It introduces a composable system where complex animations can be created by layering and combining smaller, reusable effects, similar to how shaders or animation pipelines work in graphical environments. The library focuses on enhancing the visual... -
16
redshirt
Operating system
Redshirt is an experimental operating system written in Rust that explores new approaches to OS design by emphasizing asynchronous execution, message passing, and modularity. It is built around a microkernel-inspired architecture where components communicate through well-defined interfaces rather than relying on shared state. The system is designed to run on top of WebAssembly, using it as a portable and sandboxed execution layer for processes and services. Redshirt aims to rethink traditional operating system concepts by leveraging modern programming paradigms such as async/await and capability-based security. It includes components for task scheduling, device interaction, and system services, all implemented in a highly modular fashion. ... -
17
Oh My codeX (OMX)
Your codex is not alone. Add hooks, agent teams, HUDs
Oh My codeX (OMX) is a multi-agent orchestration layer designed to extend the capabilities of OpenAI Codex CLI by introducing structured teamwork, automation, and advanced workflow management. It addresses limitations in the base Codex environment, such as the lack of hooks, agent coordination, and persistent execution, by layering a shell-based system that enables richer interaction patterns. The project transforms a single AI coding assistant into a coordinated system of specialized agents... -
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OWS - Open Wallet Standard
Local, policy-gated signing and wallet management for every chain
Open Wallet Standard Core is a foundational library that defines a set of interfaces and conventions for integrating cryptocurrency wallets with decentralized applications in a consistent and interoperable way. It establishes a standardized method for wallets to expose functionality such as account management, transaction signing, and connection handling, enabling seamless interaction across different blockchain ecosystems. The project focuses on improving both developer experience and user... -
19
model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. By using a distillation-based approach, it can produce lightweight models that run efficiently on... -
20
dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
...Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective for global and low-resource language scenarios. It achieves state-of-the-art performance on document parsing benchmarks while maintaining a relatively compact model size, demonstrating efficiency without sacrificing accuracy. Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code. -
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OpenFang
Open-source Agent Operating System
OpenFang is an open-source agent operating system designed to orchestrate autonomous AI agents and workflows in a structured, production-oriented environment. Written primarily in Rust, the project focuses on building a high-performance runtime where multiple specialized agents can collaborate to complete complex computational or development tasks. It aims to move beyond simple chat-based agents by providing infrastructure for persistent agent memory, task coordination, and scalable... -
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SkillKit
Supercharge AI coding agents with portable skills
SkillKit is a developer-centric toolkit for constructing modular, reusable AI agent skills and integrating them into workflows, platforms, and applications with minimal overhead. It provides a set of abstractions, templates, helper utilities, and patterns that help developers define intents, actions, context handling, memory management, and multi-step logic so that skills can be built once and reused everywhere. Instead of reinventing the wheel every time a new conversational or automation... -
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MCP Apps
Official repo for spec & SDK of MCP Apps protocol
MCP Apps is an extension ecosystem for a context-driven AI application protocol that lets developers build modular, interoperable apps that work together in shared model environments. The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control. Designed to work with large language models and agent systems, Ext-Apps lets developers create plugins that extend core behaviors — such as search integration, data retrieval, workflow automation, or domain-specific tools — without rewriting the host system. The ecosystem emphasizes composability, meaning developers can stack, combine, or swap out apps to tailor functionality to specific use cases or industries. ... -
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SyncKit
Local-first collaboration SDK for React, Vue, and Svelte
SyncKit is a modern self-hosted synchronization toolkit that lets users keep files, settings, and real-time state in sync across multiple devices securely and without relying on third-party cloud services. It provides bidirectional syncing, conflict detection and resolution, and selective folder sync, making it suitable for personal data, team projects, or distributed machines. The system operates over encrypted channels and supports peer-to-peer connections as well as optional relay servers for users behind NAT or firewalls. ... -
25
LiveAvatar
Streaming Real-time Audio-Driven Avatar Generation
LiveAvatar is an open-source research and implementation project that provides a unified framework for real-time, streaming, interactive avatar video generation driven by audio and other control signals. It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. The project co-designs algorithms and system optimizations, such as block-wise autoregressive processing and fast sampling strategies, to deliver real-time frame rates (e.g., ~45 FPS on appropriate GPU clusters) while handling non-stop generation without quality degradation. ...
