8 Best 9Router Alternatives in 2026 (Open Source)

9Router — Local AI router for coding agents with provider fallback and 20–40% token-saving output compression. Automatically routes AI coding requests through subscription, cheap, and free tiers with token compression to prevent interruptions and reduce costs.

Short answer

  • Closest match to 9Router: Manifest.
  • Most actively developed: LiteLLM (13,191 commits in the last 90 days).
  • Fastest growing: LiteLLM (+2,991 GitHub stars in the last 30 days).
  • No commit in 6+ months: PromptOptimizer.

These 8 open-source tools do the same job. They are ordered by how closely they match 9Router, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
9Router(original)30.2k+1,3802026-10-01
Manifest7.6k+5462026-10-01
LiteLLM60.0k+2,9912026-10-02
AI Gateway13.1k+3252026-05-25
Claude Code Router37.5k+1,1062026-09-26
NadirClaw655+462026-10-01
OpenClaude33.6k+4802026-09-29
PromptOptimizer314+22024-02-05
headroom74.3k+1,5152026-10-02
  1. 1. Manifest

    Smart LLM Routing for OpenClaw. Cut Costs up to 70% 🦞🦚

    What sets it apart: Free, open-source, local-first LLM router with transparent scoring — vs OpenRouter which is a cloud proxy with 5% fee and no routing transparency

    Best for: Reducing LLM API costs by routing to cheapest capable model; Teams using multiple LLM providers who want automatic failover

  2. 2. LiteLLM

    Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface

    What sets it apart: Unlike OpenRouter (hosted-only routing), LiteLLM is self-hostable and provides a full gateway with per-user spend tracking, virtual keys, and A2A/MCP protocol support — making it the enterprise LLM traffic controller

    Best for: ML platform teams managing multi-provider LLM access with centralized cost tracking and auth; Developers switching between LLM providers without changing application code

  3. 3. AI Gateway

    A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

    What sets it apart: vs LiteLLM: production-focused with guardrails, caching, and MCP Gateway; vs OpenRouter: self-hostable with enterprise governance and conditional routing rather than just model access

    Best for: Teams using multiple LLM providers needing unified routing; Production AI apps requiring reliability (retries/fallbacks); Organizations wanting centralized LLM cost and access control

  4. 4. Claude Code Router

    Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.

    What sets it apart: vs using Claude Code directly: Route different types of requests (background, thinking, long context) to optimal models from any provider, saving costs while maintaining Claude Code's UX - with dynamic switching and plugin system

    Best for: Claude Code users wanting to use cheaper/alternative models for different task types; Teams optimizing LLM costs by routing background tasks to cheaper models; Developers needing multi-provider flexibility within Claude Code

  5. 5. NadirClaw

    Open-source LLM router and cost optimizer with an OpenAI-compatible proxy

    What sets it apart: Local-first LLM cost optimizer — classifies prompt complexity in 10ms and routes simple requests to 10-20x cheaper models, with no third-party proxy or middleman

    Best for: Teams spending heavily on LLM APIs wanting 40-70% cost reduction; AI coding assistants (Claude Code, Cursor) with mixed complexity prompts; Budget-conscious developers using multiple LLM providers

  6. 6. OpenClaude

    runs anywhere. uses anything

    What sets it apart: One CLI across cloud APIs and local model backends with terminal-first coding-agent workflows.

    Best for: Developers wanting a unified CLI for coding agents; Teams using multiple model providers; Terminal-focused AI agent workflows

  7. 7. PromptOptimizer

    Minimize LLM token complexity to save API costs and model computations.

    What sets it apart: Plug-and-play prompt optimizers that reduce token count without accessing model weights, directly cutting API costs

    Best for: reducing-api-costs; optimizing-token-usage-at-scale; prompt-compression-research

  8. 8. headroom

    Compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs

    What sets it apart: Provides lossless compression for diverse agent inputs (JSON, code, text) with local execution and reversible retrieval.

    Best for: Reducing LLM token costs in agent workflows; Optimizing tool output, log, and RAG chunk ingestion; Developers building or running AI agents

FAQ

What are the best alternatives to 9Router?
The closest open-source alternatives to 9Router are Manifest, LiteLLM and AI Gateway, followed by Claude Code Router, NadirClaw and OpenClaude. They are ranked by how closely they match what 9Router does.
Which 9Router alternative is the most popular?
headroom has the most GitHub stars among 9Router alternatives, with 74,277 stars.
Which 9Router alternative is the most actively maintained?
By recent activity, LiteLLM (13,191 commits in the last 90 days) is the most actively developed alternative.