outo-llms is an open-source tool for deploying local large language models (LLMs) behind a managed API server. It supports workspace management, API key control, and usage tracking, making it ideal for developers who want to self-host LLMs like vLLM or llama.cpp.
outo-llms sits in PulseGate's AI & ML category. It allows users to deploy and manage local large language models with API access and usage tracking. outo-llms is an open-source project aimed at developers deploying LLMs. The project is open source (Apache-2.0). It ships for the command line and API, and it can be self-hosted.
outo-llms first shipped in 2026. The project is developed in the open on GitHub with 9 commits in the last 90 days. Among its 5 catalogued features are Local LLM deployment, API server, and workspace management.
Summary written by a language model from the project’s public pages.
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