AI Agents
gortex
Gortex, in Go — built for high-performance code-intelligence engine for ai agents.
★ 1.9k starsApache-2.0
View guide →High-performance serving for the LLMs that power your agents.
sglang is an open-source ai agents project by sgl-project (sgl-project/sglang on GitHub). It has 36,854 GitHub stars and 9,370 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Optimized serving for demanding agent loops.
Serves vision-and-language models too.
CUDA and Blackwell-era optimizations.
DeepSeek, GLM, GPT-OSS, diffusion models.
Familiar stack for ML teams.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/sgl-project/sglang.git
cd sglangCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyIt is an open-source project at sgl-project/sglang with 9370 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
No - this is infrastructure you run on your own hardware, so there is no per-request fee.
No - SGLang is for self-hosting. If you call OpenAI, Anthropic, or similar APIs, you don't need a serving framework at all.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
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Free and open — grab the source, star the repo, and start creating.