3 Best GPTCache Alternatives in 2026 (Open Source)
GPTCache — Semantic cache for LLMs. Fully integrated with LangChain and llama_index. . vs Redis/traditional caching: semantic similarity matching via embeddings means 'what is GitHub' and 'explain GitHub to me' share the same cache — not just exact string matches
These 3 open-source tools do the same job. They are ordered by how closely they match GPTCache, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| GPTCache(original) | 8.2k | +38 | 2026-09-22 |
| embedbase | 522 | +0 | 2024-11-27 |
| AI Gateway | 13.1k | +328 | 2026-05-25 |
| Bifrost AI Gateway | 8.5k | +834 | 2026-09-30 |
1. embedbase
A dead-simple API to build LLM-powered apps
What sets it apart: Dead-simple hosted API for embeddings and semantic search with built-in LLM text generation, no vector DB hosting needed
Best for: quick-semantic-search-setup; embedding-based-applications; building-recommendation-engines
2. 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
3. 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