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OpenModels

Open Registry & Telemetry for AI Infrastructure
README.md

OpenModels

Open Registry & Intelligence Platform for AI Infrastructure

Discover, compare and monitor LLM models, inference providers, MCP servers and agent skills using open data and real-time telemetry.

Track latency, uptime, pricing, rate limits, capabilities, and provider mappings — in one place.

Stats

Models Providers Mappings Skills MCP Servers
125 51 197 158 130

What OpenModels covers

  • Models — canonical registry of LLM models: capabilities, context windows, modalities, licensing, open-weight status

  • Providers — 51 inference providers with API base URLs, auth types, regions, free tiers, trial credits

  • Mappings — per-provider rate limits, pricing, and model availability

  • Telemetry — real-time latency (TTFT p50/p95/p99) and uptime monitoring across providers

  • MCP Servers — registry of 130 Model Context Protocol servers

  • Skills — 158 ready-to-use AI agent prompts and workflows for Claude Code, Cursor, Kiro, Copilot, Windsurf and more

  • Insights — data-driven analysis and benchmarks based on live telemetry

  • CLI — command-line interface for querying the registry

Architecture

openmodels/     → public YAML registry (models, providers, mappings, schemas)
skills/         → community AI agent skills (github.com/openmodelsrun/skills)
mcp/            → Model Context Protocol server registry
cms/            → Payload CMS for Insights content (cms.openmodels.run)
docs/           → architecture, roadmap, contributing guides (docs.openmodels.run)
platform/       → intelligence platform — Next.js + NestJS + Python workers

Platform

→ openmodels.run — search, compare, telemetry, skills, MCP servers, insights

Roadmap

  • Registry (models, providers, mappings)

  • Telemetry (Anthropic, Groq, AWS, DeepSeek, Alibaba, Google AI)

  • Skills

  • MCP Servers registry

  • Insights

  • CLI

  • Public API

  • SDK (@openmodels/sdk)

  • User accounts + Pro plan

  • i18n (Chinese, Russian, Spanish)

Contributing

The registry is community-maintained. Adding a model, provider, or MCP server is a single YAML file.

→ Contributing Guide

Pinned Loading

  1. openmodels openmodels Public

    Developer infrastructure for discovering and comparing LLM models and providers

    Python 4 1

  2. docs docs Public

    Documentation for OpenModels — the Open Source registry and comparison platform for LLM models and inference providers

    MDX 1

  3. cli cli Public

    CLI for the OpenModels – browse models, compare providers and check telemetry from terminal.

    TypeScript

  4. skills skills Public

    Community-maintained catalog of AI agent skills — structured, searchable and integrated with the OpenModels ecosystem.

    Python

  5. mcp mcp Public

    Open-source registry of MCP servers – structured metadata, tools, resources and install configs for the Model Context Protocol ecosystem.

    Python 3

Repositories

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