Search Results for "server" - Page 43
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Showing 10834 open source projects for "server"
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1
BaseRT
Fastest LLM inference runtime for Apple Silicon
...It accelerates model execution through hand-written Metal kernels and requires an M1 or newer Mac running macOS 14 or later. A unified command-line interface can download models from Hugging Face, convert checkpoints, launch chats, benchmark performance, and inspect model packages. Its server implements OpenAI-compatible chat, completion, embedding, transcription, tool-calling, and multimodal endpoints. The custom .base format supports affine quantization from Q2 through Q8, optional AWQ calibration, and signed model bundles. Stable C interfaces connect the engine with Python, Node.js, Rust, and Swift applications. The repository contains the open CLI, format specifications, bindings, documentation, and benchmarks, while the prebuilt inference engine uses a separate license. -
2
OpenMonoAgent
Terminal-native coding agent powered by local LLMs
OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or GPU and is designed to auto-configure itself when possible. ... -
3
Surmon.me
Personal website and blog
Surmon.me is a full-featured personal website and blog platform built with Vue and designed as part of a larger ecosystem of interconnected applications and services. The project functions as a server-side rendered (SSR) web application that delivers content dynamically while maintaining performance and SEO optimization. It is powered by a dedicated backend service called NodePress, which provides RESTful APIs for content management, data retrieval, and system operations. The platform is not just a static blog but part of a modular architecture that includes an admin dashboard, a mobile app, and even AI-assisted features, all designed to work together cohesively. ... -
4
Zent
A collection of essential UI components written with React
...It also features customizable themes, allowing teams to adapt the visual style to match branding requirements while maintaining consistency across the application. The library is optimized for modern browsers and supports server-side rendering, making it suitable for performance-critical applications. -
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5
gluestack-ui
React & React Native Components & Patterns
...It emphasizes composability and flexibility, enabling developers to customize every aspect of a component, including behavior, structure, and styling. The architecture supports React Server Components and modern TypeScript tooling, making it suitable for scalable and high-performance applications. Accessibility is also a core principle, with components designed to follow best practices such as ARIA support and keyboard navigation. -
6
webR
The statistical language R compiled to WebAssembly via Emscripten
webR is a project that compiles the R statistical programming language into WebAssembly, enabling it to run entirely within web browsers or JavaScript environments without requiring a server-side installation. By using Emscripten to adapt R’s C, C++, and Fortran codebase, webR creates a fully functional runtime that can execute R scripts directly in the browser. The project includes a web-based integrated development environment that uses tools like xterm.js and CodeMirror, allowing users to interact with R through a familiar console and editor interface. ... -
7
lldap
Light LDAP implementation
lldap (Lightweight LDAP) is a simplified and modern LDAP server implementation designed to provide directory services with minimal complexity and easier configuration compared to traditional LDAP solutions. It focuses on delivering essential LDAP functionality while avoiding the heavy operational overhead commonly associated with enterprise-grade directory servers. Written in Rust, lldap benefits from strong memory safety guarantees and performance efficiency, making it suitable for self-hosted environments and small-to-medium-scale deployments. ... -
8
AssemblyScript
A TypeScript-like language for WebAssembly
...It introduces static typing and low-level control while maintaining compatibility with existing JavaScript tooling and workflows. The language is optimized for generating efficient and compact WebAssembly modules, making it suitable for performance-critical applications in both browser and server environments. Its design bridges the gap between high-level scripting and low-level execution, allowing developers to achieve near-native performance without switching to languages like C or Rust. AssemblyScript integrates with the WebAssembly ecosystem, enabling seamless interaction with JavaScript through standard APIs. It is widely used in scenarios where performance and portability are essential, such as gaming, data processing, and edge computing. -
9
opencode.nvim
Integrate the opencode AI assistant with Neovim
...It also enables direct execution of AI-driven actions, such as code modifications or command execution, while giving users full control to review, accept, or reject changes through diff-based interfaces. The system integrates with an in-process Language Server Protocol implementation, enabling familiar features like hover explanations and code actions powered by AI. -
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10
TensorRT LLM
TensorRT LLM provides users with an easy-to-use Python API
...It includes support for cutting-edge inference methods like speculative decoding and inflight batching, enabling real-time and large-scale AI applications. TensorRT-LLM integrates seamlessly with NVIDIA’s broader inference ecosystem, including Triton Inference Server and distributed deployment frameworks, making it suitable for production environments. -
11
hematite
A simple Minecraft written in Rust with the Piston game engine
...Hematite aims to replicate core elements of Minecraft’s mechanics while leveraging Rust’s safety guarantees and modern performance capabilities. The project also explores the possibility of building alternative server implementations or game engines compatible with Minecraft-style gameplay. By rewriting core systems in Rust, the developers hope to create a more efficient and flexible architecture compared with the original Java-based implementation. The project includes components for rendering Minecraft-like worlds and experimenting with game engine features within the Piston graphics framework. -
12
Luck Perms
A permissions plugin for Minecraft servers
...Administrators can configure permissions using command-line tools, configuration files, or a web-based editor that simplifies management of large permission systems. The plugin also supports multiple storage backends such as local files, SQL databases, and other data systems, allowing server networks to synchronize permissions across multiple servers. -
13
WGCLOUD
Visibility into servers, applications, and infrastructure
WGCLOUD is a distributed operations and maintenance monitoring platform designed to provide comprehensive visibility into servers, applications, and infrastructure through a lightweight yet highly integrated architecture. Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. ... -
14
Pinchtab
High-performance browser automation bridge and orchestrator
Pinchtab is a lightweight browser automation backend built specifically for AI agents that need efficient, programmatic web control. Implemented as a small standalone HTTP server, it allows any agent or script to interact with web pages using simple API calls instead of heavyweight browser frameworks. The tool emphasizes accessibility-first snapshots that dramatically reduce token usage compared to screenshot-based approaches, making it cost-effective for large-scale automation. It launches and manages its own Chrome instance while remaining framework-agnostic, so it can be used with any language or agent system. ... -
15
Zvec
A lightweight, lightning-fast, in-process vector database
...Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
16
Blueprint MCP
Diagram generation for understanding codebases and system architecture
...Blueprint-MCP also supports templated server configurations so game environments can be versioned, replicated, and deployed consistently across regions or cloud providers. The control plane includes hooks for event-driven automation, allowing rules like “scale up at peak hours” or “restart unhealthy nodes automatically” to be codified and managed without manual intervention. -
17
Poznote
Poznote is a personal note-taking and documentation platform
...It supports rich text and Markdown editing alongside outline-style notes, attachments, workspaces, folders, and tags, making it suitable for everything from quick daily journaling to long-term documentation projects. Poznote includes a RESTful API that enables programmatic access and integration with other tools, and it even offers an MCP (Model Context Protocol) server to let AI assistants interact with your notes via natural language commands. In addition to basic note creation and editing, the platform features powerful full-text search, public sharing links, backups and exports, trash management, and multi-user support with profiles isolated per user, giving individuals and teams control over their content. -
18
Vibium
Browser automation for AI agents and humans
Vibium is an open-source browser automation infrastructure built to serve both AI agents and human developers by simplifying control and interaction with real browsers. It integrates a single lightweight binary that manages browser lifecycle, implements a WebDriver BiDi proxy, and exposes a Model Context Protocol (MCP) server so language models or automation clients can control browser behavior without complex setup. This design makes it ideal for AI agents that need to interact with the web, perform tasks, or simulate human interactions in a browser environment, and it also works well for traditional testing and automation workflows. Vibium strikes a balance between AI-native capabilities and conventional developer usability by offering language bindings and client APIs for JavaScript and Python. -
19
mcp-cli
Lighweight CLI to interact with MCP servers
mcp-cli is a lightweight, Bun-based command-line interface (CLI) tool that simplifies how developers discover, inspect, and interact with Model Context Protocol (MCP) servers from the terminal. The Model Context Protocol is an emerging open standard for connecting language models and external tools, and mcp-cli helps mitigate common pain points like context window bloat by dynamically discovering MCP servers and reducing token load during interactions. It’s designed to be fast and... -
20
Archon
The knowledge and task management backbone for AI coding assistants
Archon is an open-source “command center” designed to enhance AI coding assistant workflows by giving developers a centralized environment for knowledge management, context engineering, and task coordination across AI agents. It acts as a backend (including an MCP server) that allows different AI coding tools and assistants to share the same structured context, knowledge base, and task lists, improving consistency, productivity, and collaboration across multi-agent interactions. Users can import documentation, project files, and external knowledge so that assistants like Claude Code, Cursor, or other LLM-powered tools work with up-to-date, project-specific context rather than relying on limited prompt memory. ... -
21
Memories
Build a full stack MERN application
...The repository is tied to a video tutorial series that covers the project from start to finish, ideal for developers learning full-stack workflows. The codebase is split into client and server folders for separation of concerns, and uses common patterns like REST APIs, React state management, and MongoDB models. While fairly standard as a “starter” full-stack project, it provides a clean, end-to-end example of building and deploying a modern web application with MERN. -
22
Counter
Web Analytics made simple
counter.dev is a minimal web analytics server that prioritizes simplicity, speed, and privacy. The backend is designed to be resource-light while still providing the essential metrics teams care about, such as page views, referrers, and basic geography. Rather than storing everything in a monolithic database, it combines a fast in-memory store for hot data with archival to a traditional SQL store for long-term retention. -
23
TarpC
An RPC framework for Rust with a focus on ease of use
...The programming model feels native—call methods on a client stub and await results—while the server side exposes clean concurrency primitives for handling many requests. Because the interface is just Rust code, refactoring and IDE tooling work naturally without an external IDL. -
24
The Web MCP
A powerful Model Context Protocol (MCP) server
Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data. -
25
Deep Research
Use any LLMs (Large Language Models) for Deep Research
...It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. It offers MCP server support and SSE APIs, so IDEs and agent clients can drive the same workflow programmatically. The result is a repeatable process for scoping questions, collecting evidence, and producing a concise report with citations and reasoning steps.
