Netis/heron
Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required.
- Stars
- 103
- Forks
- 10
- Open issues
- 1
- Last push
- 14d ago
heron star history
+0 this week
About heron
heron is a free, open-source AI inference tool by Netis, written mainly in Rust. Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required. It has 103 GitHub stars and 10 forks, and was last updated 14d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Rust
- Stars
- 103
- Last update
- 14d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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heron FAQ
Can I use heron commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is heron free?
Yes. heron is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does heron run on a Mac?
Yes. According to the project, heron works on macOS.
Does heron need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is heron still maintained?
Yes. It was last updated 14d ago and has 1 open issues on GitHub.
What are alternatives to heron?
Similar free, open-source tools include RagaAI-Catalyst, llm-action, plano, ai-infra-book.
Maintain heron?
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