AI Agents
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Observability and evaluation for AI apps — see what your agents do.
★ 11.7k starsNOASSERTION
View guide →See what your AI agents do — at the system level.
agentsight is an open-source ai agents project by eunomia-bpf (eunomia-bpf/agentsight on GitHub). It has 728 GitHub stars and 110 forks, is released under the MIT license, and was last updated on GitHub on 7 October 2026.
Write down the job you will use the project for before touching any code.
Download the source and read the README's setup section first.
Run the install steps and add any required API keys or config.
Follow the example in the docs to confirm everything works.
Kernel-level visibility with low overhead.
Sees processes, network, and resources.
Designed to stay out of the way.
Built specifically for AI agent workloads.
Efficient systems code.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/eunomia-bpf/agentsight.git
cd agentsightYou need a C toolchain plus eBPF libraries (libbpf et al).
# see README for distro-specific packagesCompile and start observing per the docs.
make
# see docs for run optionsIt is maintained by eunomia-bpf at eunomia-bpf/agentsight, with 110 forks.
Yes. It is released under the MIT license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
No — it observes your own systems. You need Linux with eBPF support.
It sees the system layer (processes, network); tools like OpenLLMetry see the application layer. They complement each other.
You need a Linux host with eBPF support; follow the build docs.
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