9router vs codexmate
Self-hosted gateway pointing any AI coding CLI (Claude Code, Codex, Cursor, Cline) at 40+ providers, with subscription→cheap→free auto-fallback and tool_result compression for 20-40% token savings. — versus — Local-first CLI + web dashboard for your coding agents — switch providers, browse sessions across Codex/Claude Code/Gemini CLI, share skills, queue tasks, and bridge Codex/Claude to any API.
Overlapping job of pointing coding CLIs at arbitrary providers: 9router is a dedicated self-hosted gateway with auto-fallback across 40+ providers; Codex Mate does it via built-in Codex/Claude protocol bridges as one feature of its control plane.
| 9router | codexmate | |
|---|---|---|
| Stars | 22k | 322 |
| Forks | 3.8k | 33 |
| Language | JavaScript | JavaScript |
| License | MIT | Apache-2.0 |
| Last activity | 6 days ago | today |
| Topics | gateway, coding | coding |
| Curated connections | 5 | 3 |
9router — the curator's take
The 'never hit a rate limit again' gateway: run it on localhost, point Claude Code / Codex / Cursor / Cline / Copilot at its OpenAI-compatible endpoint, and it round-robins your accounts and cascades Subscription → cheap ($0.2-0.6/1M) → free (Kiro, OpenCode) providers so a job never dies mid-flight, while RTK compresses tool_result payloads (git diff, grep, ls) to shave 20-40% of tokens. Best when you juggle several provider subscriptions/keys and keep exhausting quota. NOT for you if you want one stable premium model (free-tier fallbacks vary in quality/availability), if routing traffic through third-party free providers raises data-privacy concerns, or if you want savings from smarter code retrieval rather than payload compression. Overlaps heavily with lynkr — pick 9router for free/multi-account fallback breadth, lynkr for tool-stripping, semantic caching and local-model routing.
codexmate — the curator's take
Use it when you juggle several local agent CLIs and are tired of each one's config/session/skills silo: one web UI to switch providers (with health probes and bulk cleanup of dead configs), search and export sessions across four agents, and edit global/project CLAUDE.md and AGENTS.md with shared presets. The bridges are the sleeper feature — Codex's Responses API normalized to OpenAI-compatible (with official-looking fingerprint headers), and Claude Code pointed at any Chat Completions provider or Ollama. NOT an autonomous orchestrator despite the DAG task queue — for issue-driven unattended runs use contrabass. Early-stage, and it mutates ~/.codex and ~/.claude configs, so keep backups.