8 Best 9Router Alternatives in 2026 (Open Source)
9Router — Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% t. Automatically routes AI coding requests through subscription, cheap, and free tiers with token compression to prevent interruptions and reduce costs.
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.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| 9Router(original) | 30.1k | +2,509 | 2026-09-26 |
| Manifest | 7.5k | +552 | 2026-09-30 |
| LiteLLM | 59.9k | +3,008 | 2026-09-30 |
| AI Gateway | 13.1k | +328 | 2026-05-25 |
| Claude Code Router | 37.5k | +1,113 | 2026-09-26 |
| NadirClaw | 655 | +46 | 2026-09-23 |
| OpenClaude | 33.6k | +2,799 | 2026-09-29 |
| PromptOptimizer | 314 | +2 | 2024-02-05 |
| headroom | 74.2k | +6,181 | 2026-09-30 |
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. LiteLLM
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropi
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. 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. 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. NadirClaw
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor, OpenCl
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. 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. 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. headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Li
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 74,176 stars.
- Which 9Router alternative is the most actively maintained?
- By recent activity, LiteLLM (13,153 commits in the last 90 days) is the most actively developed alternative.