Showing 792 open source projects for "php support system"

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  • 1
    nanobot

    nanobot

    🐈 nanobot: The Ultra-Lightweight Clawdbot / OpenClaw

    nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to...
    Downloads: 6 This Week
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  • 2
    Claude Octopus

    Claude Octopus

    Put up to 8 AI models on every coding task

    Claude Octopus is a multi-model orchestration plugin that enables developers to run multiple AI models simultaneously on a single coding task to reduce blind spots and improve output quality. It allows up to eight different models to analyze the same problem in parallel, surfacing diverse perspectives before finalizing results. The system is particularly useful for detecting inconsistencies, edge cases, and errors that a single model might miss. It integrates directly into coding workflows,...
    Downloads: 3 This Week
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  • 3
    Paperclip

    Paperclip

    Open-source orchestration for zero-human companies

    Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI...
    Downloads: 18 This Week
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  • 4
    ECC

    ECC

    The agent harness performance optimization system

    ECC is an agent harness performance optimization system for AI coding tools such as Claude Code, Codex, Opencode, and similar environments. It packages rules, skills, instincts, memory behavior, security practices, and research-first development patterns into a structured framework. The project is designed to make coding agents more reliable by improving how they plan, inspect context, make changes, review work, and avoid unnecessary mistakes. ECC includes installation guidance and...
    Downloads: 3 This Week
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  • 5
    CubeSandbox

    CubeSandbox

    Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents

    CubeSandbox is a lightweight, high-performance sandboxing environment designed to securely run AI agents and untrusted code in isolated containers. Built in Rust, it focuses on enabling concurrent execution while maintaining strong isolation and low overhead. The system is optimized for scenarios where multiple AI agents need to execute tasks in parallel without compromising system integrity. It provides fast startup times and efficient resource management, making it suitable for large-scale...
    Downloads: 2 This Week
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  • 6
    Build Your Own OpenClaw

    Build Your Own OpenClaw

    A step-by-step guide to build your own AI agent

    ...It begins with foundational concepts like conversational loops and tool integration, then expands into more advanced capabilities such as dynamic skill loading, web interaction, and context management. As the tutorial progresses, it introduces architectural improvements including event-driven systems, WebSocket communication, and configuration hot-reloading to support scalability and real-time interaction.
    Downloads: 0 This Week
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  • 7
    Oh My codeX (OMX)

    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...
    Downloads: 3 This Week
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  • 8
    MiniMax Skills

    MiniMax Skills

    Development skills for AI coding agents

    MiniMax skills is a modular system designed to provide structured development capabilities for AI coding agents, enabling them to perform complex engineering tasks with guided workflows and domain-specific knowledge. It defines a set of reusable “skills” that encapsulate best practices, architectural patterns, and step-by-step processes for building applications across multiple platforms. These skills can be integrated into AI tools to improve the quality and consistency of generated code,...
    Downloads: 3 This Week
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  • 9
    GalTransl

    GalTransl

    Automated translation solution for visual novels

    GalTransl is an automated translation system specifically designed for visual novels, particularly those in the “galgame” genre, leveraging large language models to streamline and enhance the translation process. It integrates support for multiple advanced LLM providers such as GPT-4, Claude, DeepSeek, and other models, enabling high-quality, context-aware translations that go beyond traditional machine translation approaches.
    Downloads: 4 This Week
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  • 10
    Zypher Agent

    Zypher Agent

    A minimal yet powerful framework for creating AI agents

    ...Unlike workflow-style orchestrators, it uses a reactive agent loop that interprets the task, reasons about next steps via LLMs, and integrates directly with extensible tools and external services. Zypher prioritizes native support for multiple model providers such as OpenAI and Anthropic Claude, while also offering a rich set of tools for file system operations, search, and terminal execution. It includes mechanisms like checkpointing to version agent decision states, concurrency protections, error handling, and operational interceptors to customize behavior after each reasoning step. ...
    Downloads: 0 This Week
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  • 11
    VibeSDK

    VibeSDK

    Open source full-stack AI vibe coding platform & web app generator

    ...Live preview of generated apps in isolated sandbox containers. Support for React + TypeScript + Tailwind generation, backend routing, and modern web stack scaffolding.
    Downloads: 1 This Week
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  • 12
    OpenWhip

    OpenWhip

    Optimize interaction with AI coding assistants

    OpenWhip is a desktop utility built as a cross-platform Node.js application that humorously gamifies interaction with AI coding assistants by simulating a “whip” tool to interrupt and motivate them during long or stalled operations. The application runs as a lightweight system tray program and overlays a visual whip animation on the screen when activated, creating an interactive and slightly absurd interface for user engagement. Its core functionality is surprisingly practical beneath the...
    Downloads: 4 This Week
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  • 13
    OpenSwarm

    OpenSwarm

    Claude code for everything except coding

    OpenSwarm is an open-source multi-agent system that lets users create full deliverables from a single terminal prompt. Instead of relying on one general-purpose assistant, it coordinates a team of specialized agents through an orchestrator. The included agents can handle research, data analysis, slide decks, documents, images, videos, scheduling, messaging, and other productivity tasks.
    Downloads: 0 This Week
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  • 14
    Clawith

    Clawith

    OpenClaw for Teams

    Clawith is an AI-driven agent system focused on enabling intelligent task execution, coordination, and interaction across complex environments. It is designed to function as a control layer where agents can perform actions, manage workflows, and respond dynamically to changing conditions. The system likely emphasizes integration with external tools and services, allowing agents to extend their capabilities beyond internal reasoning.
    Downloads: 0 This Week
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  • 15
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    ...The system is structured to support experimentation and customization, making it suitable for both research and DIY agriculture projects. With its modular Python codebase, users can adapt the platform for different plant types, hardware setups, or automation strategies. Overall, OpenPlanter aims to simplify the creation of programmable, data-driven plant care systems.
    Downloads: 0 This Week
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  • 16
    AWorld

    AWorld

    Build, evaluate and train General Multi-Agent Assistance with ease

    ...It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to help and coordinate across multiple agents. It can also scale their training across environments.
    Downloads: 0 This Week
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  • 17
    ChatGPT-Telegram-Workers

    ChatGPT-Telegram-Workers

    Deploy your own Telegram ChatGPT bot on Cloudflare Workers with ease

    The simplest and fastest way to deploy your own ChatGPT Telegram bot. Use Cloudflare Workers, single file, copy and paste directly, no dependencies required, no need to configure local development environment, no domain name required, serverless. You can customize the system initialization information so that your debugged personality never disappears.
    Downloads: 0 This Week
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  • 18
    oh-my-agent

    oh-my-agent

    Portable multi-agent harness for .agents-based skills, workflows

    ...It builds on the idea of modular agent systems, allowing developers to define specialized roles and capabilities that can be combined into larger workflows. The framework emphasizes usability, making it easier to configure agents, assign tasks, and manage interactions without requiring deep expertise in AI system design. It likely includes support for plugins or skills, enabling agents to extend their functionality through integrations with external tools. The system also focuses on coordination, allowing multiple agents to collaborate on complex tasks in a structured manner. Its architecture supports experimentation, making it suitable for both prototyping and iterative development. ...
    Downloads: 0 This Week
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  • 19
    LLMChat

    LLMChat

    Unified interface for AI chat, Agentic workflows and more

    ...It also incorporates agent-style workflows that allow the system to orchestrate multiple steps of reasoning or data retrieval during a conversation.
    Downloads: 0 This Week
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  • 20
    3FS

    3FS

    A high-performance distributed file system

    The 3FS repository (standing likely for “Feature 3F System” or similar) is focused on providing a feature extraction and transformation framework tailored to deep and large models, especially in token-based systems. Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly.
    Downloads: 0 This Week
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  • 21
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    ...Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient and flexible support for your needs. NoneBot2 is written based on Python asyncio , and has a certain degree of synchronous function compatibility based on the asynchronous mechanism. ...
    Downloads: 0 This Week
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  • 22
    Understand Anything

    Understand Anything

    Turn any codebase into an interactive knowledge graph

    Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new...
    Downloads: 11 This Week
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  • 23
    TRIBE v2

    TRIBE v2

    A multimodal model for brain response prediction

    TRIBE v2 is a multimodal foundation model developed by Meta AI for predicting human brain activity from naturalistic stimuli such as video, audio, and text. It is designed for in-silico neuroscience, enabling researchers to model how the brain responds to complex real-world inputs. The system integrates state-of-the-art encoders—including LLaMA for text, V-JEPA for video, and Wav2Vec-BERT for audio—into a unified Transformer architecture. This combined representation is mapped onto the...
    Downloads: 11 This Week
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  • 24
    ROSA

    ROSA

    I Agent designed to interact with ROS1- and ROS2-based robotics system

    ROSA, short for Robot Operating System Agent, is an AI-powered software assistant developed by NASA’s Jet Propulsion Laboratory to simplify interaction with robotic systems that use the Robot Operating System (ROS). The project provides a natural language interface that allows developers and operators to interact with robots by issuing commands or queries in conversational language. Built on top of frameworks such as LangChain and modern large language models, ROSA translates user...
    Downloads: 1 This Week
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  • 25
    ViMax

    ViMax

    Director, Screenwriter, Producer, and Video Generator All-in-One

    ViMax is an open-source framework for performing large-scale multi-modal vision-language modeling and reasoning by combining powerful image encoders with advanced language models to solve complex visual tasks. It integrates components like visual encoders, cross-modal fusion techniques, and reasoning modules so that users can go beyond simple captioning or classification to perform tasks such as visual question answering, multi-image inference, and structured scene understanding. ViMax’s...
    Downloads: 15 This Week
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