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Kaeso

The open-source AI gateway you run yourself

Overview

About Kaeso

Kaeso is an open-source AI gateway that a team installs on its own servers. It sits between a company's apps and its model providers, so every request to OpenAI, Anthropic, Cerebras, Groq, Mistral, DeepSeek, OpenRouter and the other built-in providers passes through one place the team controls. Apps keep the official OpenAI, Anthropic, Google Gen AI and ElevenLabs SDKs, as well as Claude Code and Codex; they only change the base URL and use a Kaeso key in place of a provider key. Kaeso does not resell model access. Provider keys belong to your organization, are encrypted with AES-256-GCM under a master key ring you hold and never reach application code, and you pay each provider directly on your own account.

The problem it targets is the sprawl that follows when many teams and apps call many models: keys copied into config files, no single view of spend, and no way to stop a runaway script. Kaeso adds single sign-on through OpenID Connect, roles, budgets, rate limits and request logs, managed in a web console with an audit log of every change rather than in a config file. The gateway is one compiled Rust binary with no interpreter on the request path and keeps no state of its own, so it scales by adding instances behind a load balancer. The site compares it directly with LiteLLM, which it describes as a Python proxy that reaches far more providers than Kaeso's 14 built-in ones, and says Kaeso is for teams that want the whole company signing in to one gateway. The gateway, the console, the KPP translation format and the UI library ship together in one MIT-licensed repository on GitHub. The repository was created in October 2026, is written mainly in Rust and receives commits most days; the site lists version 0.5.6 of 2 November 2026 as the latest release, and 0.6.0 release candidates have followed on GitHub.

Pricing

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Free tier
  • Open Source (MIT)$0/mo

Checked 2026-11-10

Details

GitHub Stars 6
Forks 1
Data from: GitHub • Website•Updated: Nov 10, 2026
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