9router

OmniRoute is an open-source, self-hosted AI gateway developed by diegosouzapw. It exposes model providers through a single OpenAI-compatible endpoint and routes requests according to provider availability, quotas, cost, and latency, with automatic fallback and model chaining. The gateway is designed for local-first operation, keeping provider keys locally and supporting encrypted key storage. Its documented features include quota-aware scheduling, context compression through the RTK and Caveman mechanisms, and integrations for MCP and A2A workflows. The repository describes compatibility with coding clients such as Claude Code, Codex, Cursor, OpenCode, Cline, and Copilot, along with desktop and progressive web app interfaces. It is distributed under the MIT license and supports hundreds of providers and more than a thousand model identifiers.

OpenRouter is a platform that provides a unified interface and API for accessing and comparing multiple AI models and their pricing. It aggregates model endpoints so developers can route prompts to different providers from a single place.

Codex Router is an independent community project that routes external AI models into the Codex app and CLI, adding providers such as Kimi, DeepSeek, Anthropic, xAI, and GitHub Copilot alongside native models. It provides guided provider authentication, keeps credentials on the local computer, and supports safe migration and rollback of recognized older setups. The project includes a command-line installer and setup flow, an Electron Control Center, a tray or menu-bar application, and a macOS desktop widget; one installation can also serve DeepSeek Harness and Gemini CLI. It supports macOS, Linux, and Windows, and is not affiliated with OpenAI or the other referenced model and platform providers.

RouteLLM is an open-source framework from lm-sys for serving and evaluating routers that direct requests between stronger and cheaper language models. It provides trained routers, a drop-in replacement for the OpenAI client, and an OpenAI-compatible server; routing decisions use configurable cost thresholds that can be calibrated for a target share of requests sent to the stronger model. The framework supports comparing routers across benchmarks and extending it with additional routers, model pairs, and providers.

Experiential is an open-source gateway and router for agent workflows from Experiential Labs. Its `exp` CLI provides hosted, bring-your-own-key, local, and custom models through OpenAI-compatible and Anthropic Messages APIs, with model aliases, access controls, use-case restrictions, and spending limits for users and agents. It can persist provider connections and configuration locally, expose API routes on loopback, and load a fitted project router as an OpenAI client through its Python interface. It collects OpenTelemetry traces from agent traffic to build simulations and optimize routing for quality, speed, and cost, and supports harness optimization, endpoint serving, model distillation, and fine-tuning an owned open-source model through Tinker. The hosted gateway is available at `api.experientiallabs.ai`; anonymous aggregate PostHog telemetry is enabled by default locally and can be disabled.