BlackSnufkin/LitterBox
A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.
- Stars
- 1.6k
- Forks
- 174
- Open issues
- 1
- Last push
- 5mo ago
About LitterBox
LitterBox is a free, open-source AI agent tool by BlackSnufkin, written mainly in YARA. A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end. It has 1.6k GitHub stars and 174 forks, and was last updated 5mo ago. It's released under the GPL-3.0 license, a standard open-source license.
- License
- GPL-3.0
- Language
- YARA
- Stars
- 1,557
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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LitterBox FAQ
Is LitterBox free?
Yes. LitterBox is open source and free to use. It's released under the GPL-3.0 license, a standard open-source license.
Does LitterBox run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does LitterBox need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is LitterBox still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to LitterBox?
Similar free, open-source tools include TrendRadar, activepieces, strix, gemini-cli.