Discover 372 MCPs built for OpenAI.
Performs robust, general-purpose speech recognition, speech translation, and language identification across multiple languages.
Run large language models privately on everyday desktops and laptops without requiring API calls or GPUs.
Provides a modern, open-source AI agent workspace supporting multiple AI providers, knowledge bases, and extensible features.
Generates and executes code from natural language specifications, acting as an experimental platform for AI-driven software development.
Runs a lightweight coding agent directly in your terminal for chat-driven development.
Provides a self-hosted, local-first open-source alternative to OpenAI's API for various AI inference tasks on consumer-grade hardware.
Pair program with an AI assistant directly in the terminal to build new projects or enhance existing codebases.
Assemble, configure, and deploy autonomous AI agents directly within your web browser.
Self-host a privacy-first, versatile ChatGPT alternative supporting multiple AI models and advanced features.
Unify access to over 100 Large Language Model APIs using a consistent OpenAI format, acting as both a Python SDK and a robust LLM gateway proxy server.
Enables interaction with the OpenAI API from Python 3.8+ applications.
Empower developers to build, orchestrate, and deploy intelligent AI agents and multi-agent systems.
Distribute and run Large Language Models (LLMs) locally using a single, executable file.
Automates complex development tasks using an extensible, open-source AI agent.
Empower your coding workflow with an AI-powered autonomous agent directly within your code editor.
Provides a unified, locally installed user interface for interacting with text generation large language models, image generation engines, and text-to-speech voice models.
Facilitates the creation of multi-agent workflows with configurable agents, handoffs, guardrails, and tracing.
Tokenizes text quickly for use with OpenAI's language models using Byte Pair Encoding (BPE).
Integrates AI coding assistance directly into your terminal, connecting your development tools, code, and workflows with your chosen Large Language Model.
Empower AI agents to interact with websites directly within your browser.
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