Menfre01/waveloom
为 DeepSeek 前缀缓存定制的终端 Code Agent(纯 Go),缓存命中率 95-99%,命中输入定价为未命中的 1/30。A terminal coding agent optimized for DeepSeek prefix caching — 95-99% cache hit, cache-hit input priced at 1/30th of cache-miss.
- Stars
- 135
- Forks
- 7
- Open issues
- 1
- Last push
- 1mo ago
waveloom star history
+0 this week
Can I sell what I build with it?
Yes
A guide, not legal advice.
About waveloom
waveloom is a free, open-source AI agent tool by Menfre01, written mainly in Go. 为 DeepSeek 前缀缓存定制的终端 Code Agent(纯 Go),缓存命中率 95-99%,命中输入定价为未命中的 1/30。A terminal coding agent optimized for DeepSeek prefix caching — 95-99% cache hit, cache-hit input priced at 1/30th of cache-miss. It has 135 GitHub stars and 7 forks, and was last updated 1mo 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
- Go
- Stars
- 135
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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waveloom FAQ
Can I use waveloom 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 waveloom free?
Yes. waveloom is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does waveloom run on a Mac?
Yes. According to the project, waveloom works on macOS.
Does waveloom need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is waveloom still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to waveloom?
Similar free, open-source tools include deepseek-harness, ECC, hermes-agent, ponytail.
Maintain waveloom?
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