8 Best OpenLM Alternatives in 2026 (Open Source)

OpenLM — OpenAI-compatible Python client that can call any LLM. vs LiteLLM / AI SDK: minimalist OpenAI-compatible drop-in replacement — swap openlm for openai in imports and instantly access HuggingFace and Cohere with zero API changes

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

1. 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

   ⭐ 59.9kOpenLM vs LiteLLM →Full profile →

2. 2. llm.ts

   Call any LLM with a single API. Zero dependencies.

   What sets it apart: vs Vercel AI SDK / LangChain.js: zero-dependency TypeScript library under 10kB that sends prompts to 30+ models from 3 providers in a single call — optimized for lightweight multi-model comparison

   Best for: Comparing outputs across multiple LLMs simultaneously in TypeScript; Lightweight multi-model evaluation without vendor lock-in; Browser-based LLM applications needing minimal bundle size

   ⭐ 213OpenLM vs llm.ts →Full profile →

3. 3. Go OpenAI

   OpenAI ChatGPT, GPT-5, GPT-Image-1, Whisper API clients for Go

   What sets it apart: vs official OpenAI SDKs: the most popular Go client for OpenAI — comprehensive coverage of all API endpoints (chat, images, audio, embeddings) with idiomatic Go interfaces and streaming support

   Best for: Go developers needing OpenAI API access in their applications; Backend services requiring typed OpenAI client in Go; Streaming chat implementations in Go-based systems

   ⭐ 10.8kOpenLM vs Go OpenAI →Full profile →

4. 4. OpenAI Python

   The official Python library for the OpenAI API

   Best for: Python developers building production applications with OpenAI models; Teams needing type-safe, well-documented API access; Enterprise applications requiring Azure OpenAI integration

   ⭐ 31.7kOpenLM vs OpenAI Python →Full profile →

5. 5. 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

   ⭐ 8.5kOpenLM vs Bifrost AI Gateway →Full profile →

6. 6. 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

   ⭐ 71.7kOpenLM vs OmniRoute →Full profile →

7. 7. Astra Assistant API

   Drop in replacement for the OpenAI Assistants API

   What sets it apart: Drop-in OpenAI Assistants API v2 replacement supporting 30+ LLM providers via LiteLLM, backed by AstraDB vector storage

   Best for: openai-assistant-api-with-alternative-llms; multi-provider-assistant-apps; astradb-users

   ⭐ 207OpenLM vs Astra Assistant API →Full profile →

8. 8. OpenLLM

   Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

   What sets it apart: Unlike Ollama which focuses on local/desktop usage, OpenLLM bridges local development and cloud production through unified BentoML tooling — providing the same CLI workflow from laptop to Kubernetes cluster with OpenAI API compatibility

   Best for: Teams wanting the fastest path from model selection to OpenAI-compatible API endpoint; DevOps engineers deploying open-source LLMs to production with Docker/Kubernetes

   ⭐ 12.5kOpenLM vs OpenLLM →Full profile →