model routing

Open-source coding agent that keeps a persistent memory of your repo, with a CLI, self-hosted gateway, model routing, and support for OpenAI-compatible and provider-native endpoints.

A model router for agentic systems that proxies Anthropic, OpenAI, Gemini, and OSS models through one endpoint, with hosted and self-hosted setup paths and direct integrations for Claude Code, Codex, Cursor, and opencode.

ModelPlane is an OpenAI-compatible AI gateway that routes requests across multiple model providers through one endpoint. It includes model groups, fallback and weighted routing, multiple provider support, reasoning output normalization, and usage/billing tracking.

A local Anthropic-compatible proxy that lets Claude Code work through ChatGPT, Kimi, Grok, or Cursor subscriptions, with provider routing, diagnostics, and model mapping.

An interactive calculator for AI product unit economics. It models token costs, retries, prompt caching, model routing, infrastructure, support, and target gross margin, and can share scenarios through URL links.

Self-hosted LLM gateway for cost-aware model routing, spend tracking, and policy-based traffic control across multiple providers.

AISBF is a self-hostable AI service broker and OpenAI-compatible proxy/router for routing requests across multiple providers, adding prompt-aware model selection, failover, quotas, analytics, and privacy-focused deployment options.

AgInTiFlow is a web-first coding agent and CLI for controlled website automation, persistent conversations, resumable runs, and guarded local commands. The npm page shows quick-start install steps, model routing options, sandbox and browser tooling, session handling, and web UI support.

TokenGO is a self-operated inference API for open-weight LLMs and video models. It offers OpenAI-compatible access, model routing, enterprise uptime claims, and a set of priced models including GLM, DeepSeek, Kimi, and MiniMax.

A blog post from Augment Code comparing its coding agent, Auggie, against Claude Code on Opus 4.7. It presents benchmark results, token usage, cost comparisons, and an explanation of the Context Engine and Prism router.