Search Results for "simple-xml"
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Showing 89 open source projects for "simple-xml"
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Simple MCP
A simple TypeScript library for creating MCP servers
simple-mcp is a TypeScript library designed to facilitate the creation of Model Context Protocol (MCP) servers. It offers a straightforward API, enabling developers to set up MCP servers with minimal code. The library emphasizes type safety through full TypeScript integration and incorporates parameter validation using Zod. It fully implements the MCP, ensuring compatibility with MCP clients. -
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NanoClaw
A lightweight alternative to Clawdbot / OpenClaw
...The project connects directly to WhatsApp, letting you deploy an assistant that can chat in a familiar interface while still supporting real agent behaviors instead of simple call-and-response prompts. It includes memory so the assistant can retain important context across interactions, enabling more consistent follow-through on ongoing tasks. It also supports scheduled jobs, making it suitable for recurring reminders, periodic automations, and timed workflows without needing an external orchestrator. -
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Rawon
A simple powerful Discord music bot built to fulfill your production
A simple powerful Discord music bot built to fulfill your production desires. Easy to use, with no coding required. -
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Clippy
Clippy, now with some AI
...It supports models in the GGUF format, which allows it to run many publicly available open-source LLMs efficiently on consumer hardware. Users interact with the system through a simple animated assistant interface that can answer questions, generate text, and perform conversational tasks. The application includes one-click installation support for several popular models such as Meta’s Llama, Google’s Gemma, and other open models. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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OpenClaude
Claude Code opened to any LLM
...The project focuses on enabling users to run their own AI agents with full control over data, workflows, and integrations, reducing reliance on proprietary platforms. It likely includes support for executing tasks, managing context, and interacting with external tools, allowing agents to perform real-world actions beyond simple text generation. The architecture emphasizes flexibility, enabling developers to adapt the system to different use cases and integrate it with various models or APIs. It may also include modular components for extending functionality, such as plugins or skills. The project reflects a broader trend toward open and decentralized AI systems that prioritize transparency and control. -
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Repomix
Repomix is a powerful tool that packs your entire repository
Repomix is a developer utility that packages an entire code repository into a single AI-friendly file for analysis by large language models. Its core purpose is to simplify the process of feeding complex codebases into AI tools by consolidating files, metadata, and structure into a unified representation. The tool is particularly valuable for code review, refactoring assistance, and automated documentation workflows where context size matters. Repomix intelligently respects ignore rules and... -
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Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
...The system works by transforming a webpage into a clean text or Markdown representation that removes unnecessary formatting and highlights the core information within the page. Developers can use a simple URL prefix to retrieve a version of a webpage that has been optimized for machine consumption, making it suitable for use in AI agents or retrieval-augmented generation pipelines. In addition to converting individual pages, the service can perform web searches and return relevant content that can be ingested directly by AI systems. ... -
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WebLLM
Bringing large-language models and chat to web browsers
...WebLLM offers a minimalist and modular interface to access the chatbot in the browser. The WebLLM package itself does not come with UI, and is designed in a modular way to hook to any of the UI components. The following code snippet demonstrates a simple example that generates a streaming response on a webpage. -
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LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, etc
...The project features a sleek, intuitive interface reminiscent of popular chat UIs but with powerful options such as multimodal interaction, conversation branching, and custom presets that let you tailor how the model responds. Developers and power users can extend its capabilities via plugins and agentic tools, enabling workflows that go beyond simple Q&A to include tasks like code execution or automated assistant behavior. -
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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10
Stagehand
An AI web browsing framework focused on simplicity and extensibility
An AI web browsing framework focused on simplicity and extensibility. Stagehand is the AI-powered successor to Playwright, offering three simple APIs (act, extract, and observe) that provide the building blocks for natural language-driven web automation. The goal of Stagehand is to provide a lightweight, configurable framework, without overly complex abstractions, as well as modular support for different models and model providers. It's not going to order you a pizza, but it will help you reliably automate the web. ... -
11
omp (Oh My Pi)
AI Coding agent for the terminal
...The project provides a command-line coding agent capable of analyzing repositories, generating commits, editing code, and interacting with development tools through an integrated tool system. Instead of functioning as a simple prompt-based assistant, the system includes an agent architecture that can inspect Git repositories, analyze changes, and perform development actions with fine-grained control. The platform also supports tool-based workflows where the agent can run shell commands, read files, modify code, and stage changes during development tasks. ... -
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Ruler AI
Centralize and sync AI coding rules across tools and projects
...Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. Designed for teams using multiple AI agents, it improves workflow consistency, simplifies onboarding, and ensures all assistants follow the same standards across projects. -
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Suna
Suna - Open Source Generalist AI Agent
...Suna's architecture comprises a FastAPI-based backend, a Next.js/React frontend, an agent Docker environment, and a Supabase database for state management. This modular design allows for seamless interaction and task execution through simple conversations. -
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Appsmith
Low code project to build admin panels, internal tools, and dashboards
Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API. Appsmith is an open-source platform to build, deploy, and maintain internal apps. You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder. Use 45+ pre-built, customizable widgets including tables, charts, lists, modals, forms, and more. Connect to your data with our connectors: databases (PostgresQL, MongoDB, Amazon S3, and many more), SaaS providers (like Google Sheets, Airtable, Twilio) or any GraphQL/REST API. ... -
15
LLocal
Aiming to provide a seamless and privacy driven chatting experience
LLocal is an Electron-based desktop application that provides a simple and accessible interface for interacting with local large language models, particularly those served through frameworks like Ollama. It focuses on delivering a straightforward chat experience that eliminates the need for command-line interaction while maintaining compatibility with local-first AI workflows. The application leverages Electron to provide cross-platform support, enabling consistent usage across operating systems with a familiar desktop interface. ... -
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CodeMachine
CLI tool for multi-agent workflows and automated code generation
...CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything from simple scripts to complex, long-running workflows that span hours or days. CodeMachine also integrates with various AI engines, assigning roles such as planning, coding, and review to different models for efficient collaboration. -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks. Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. ... -
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Fragments by E2B
Open source template for AI-powered code generation apps w/ sandboxes
...Fragments is built with modern web technologies such as Next.js, TailwindCSS, and shadcn/ui, providing a structured foundation for developers creating AI-driven development tools. It supports multiple programming frameworks including Python interpreters, Next.js, Vue.js, Streamlit, and Gradio, allowing generated projects to span from simple scripts to full web applications. It integrates with a wide range of large language model providers and supports streaming responses. -
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Gemini MCP Tool
MCP server that enables AI assistants to interact with Google Gemini
...The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive datasets that might otherwise exceed the limits of other models. It supports workflows where users can reference files or directories using simple syntax, allowing the AI to process entire projects or documents in a single request. The tool also includes sandbox execution features, which allow safe testing of code or commands in an isolated environment without affecting the host system. -
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FastbuildAI
An open-source AI framework for developers and entrepreneurs
...The codebase favors small, composable pieces—executors, routers, guards—so teams can adopt just what they need instead of buying into a monolith. It is equally comfortable running locally for development or behind a simple API for production bots and automation workflows. -
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PilotDeck
Task-oriented AI Agent productivity platform
...The project is jointly developed by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. Its goal is to serve as a practical productivity platform for the agent era rather than a simple chat interface. PilotDeck organizes agent activities around work contexts, tasks, and repeatable workflows. It is especially relevant for users who want AI agents to handle general-purpose work in a more organized and persistent environment. -
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Dexter
An autonomous agent for deep financial research
...It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence. -
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Feynman
The open source AI research agent
...It supports advanced workflows like deep research investigations, paper replication, peer review simulation, and autonomous experimentation, enabling users to go beyond simple question answering into full research automation. -
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Botonic
Build chatbots and conversational experiences using React
Botonic is a full-stack Javascript framework to create chatbots and modern conversational apps that work on multiple platforms, web, mobile and messaging apps (Messenger, Whatsapp, Telegram, etc). Building modern applications on top of messaging apps like Whatsapp or Messenger is much more than creating simple text-based chatbots. Botonic is a full-stack serverless framework that combines the power of React and Tensorflow.js to create amazing experiences at the intersection of text and graphical interfaces. With Botonic you can focus on creating the best conversational experience for your users instead of dealing with different messaging APIs, AI/NLP complexity or managing and scaling infrastructure. ... -
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Personal AI Infrastructure
Agentic AI Infrastructure for magnifying HUMAN capabilities
...Unlike once-stateless chatbots, this platform captures context, memory, goals, preferences, and feedback to enable an AI that understands you and improves over time, using a full agentic stack rather than simple question-answer loops. PAI blends tools like browsing, code editing, execution, and more into a continuous Observe → Think → Plan → Execute → Verify → Learn cycle, letting the system refine its behavior with each use. Its architecture supports long-term memory, verification of actions, and ongoing self-improvement, blurring the line between “assistant” and persistent, evolving collaborator.
