8 Best AI Gateway Alternatives in 2026 (Open Source)
AI Gateway — A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.. 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
These 8 open-source tools do the same job. They are ordered by how closely they match AI Gateway, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| AI Gateway(original) | 13.1k | +328 | 2026-05-25 |
| LiteLLM | 59.9k | +3,007 | 2026-09-30 |
| Bifrost AI Gateway | 8.5k | +834 | 2026-09-30 |
| TensorZero | 11.7k | +90 | 2026-06-04 |
| OmniRoute | 71.7k | +11,294 | 2026-09-30 |
| Manifest | 7.5k | +552 | 2026-09-30 |
| NadirClaw | 655 | +46 | 2026-09-23 |
| helicone | 6.2k | +134 | 2026-09-16 |
| OpenLIT | 2.8k | +77 | 2026-09-29 |
1. 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
2. Bifrost AI Gateway
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
What sets it apart: Fastest AI gateway with 11us overhead at 5k RPS — built in Go for extreme performance vs LiteLLM/Portkey's Python-based proxies
Best for: High-throughput production AI gateways needing sub-millisecond overhead; Multi-provider failover with zero-downtime requirements
3. TensorZero
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
What sets it apart: Only LLM gateway that combines inference, observability, evaluation, and optimization in one Rust-based system with data flywheel — vs LiteLLM (routing only) or Langfuse (observability only)
Best for: Teams wanting a unified LLM gateway with built-in optimization feedback loop; Production systems needing <1ms latency overhead at scale; Organizations wanting to continuously improve LLM performance from production data
4. OmniRoute
OmniRoute is an AI gateway for multi-provider LLMs: an OpenAI-compatible endpoint with smart routing, load balancing, retries, and fallbacks. Add policies, rate limits, caching, and observability for
What sets it apart: OmniRoute is Uniswap's specialized cross-chain routing engine for DeFi, not comparable to AI tools — it optimizes token swap execution across liquidity pools
Best for: DeFi developers integrating Uniswap smart routing into trading applications
5. 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
6. 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
7. helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
What sets it apart: vs LangSmith/Braintrust: Combined AI Gateway + Observability platform with one-line integration, generous free tier, unified access to 100+ models, and built-in prompt versioning - Y Combinator backed
Best for: Teams needing unified observability across multiple LLM providers; Production AI apps requiring cost tracking and prompt management; Developers wanting a single API gateway for 100+ models
8. OpenLIT
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers,
What sets it apart: Most comprehensive open-source AI engineering platform — combines observability, 11 evaluation types, rule engine, prompt hub, secret vault, playground, and fleet management in one tool
Best for: Teams wanting all-in-one LLM platform (observability + eval + prompts + secrets); Organizations needing self-hosted AI engineering platform; Multi-language teams (Python/TS/Go SDK support)