roandejager/Hillock
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI.
- Stars
- 144
- Forks
- 13
- Open issues
- 3
- Last push
- 15d ago
About Hillock
Hillock is a free, open-source LLM chat app by roandejager, written mainly in Python. Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. It has 144 GitHub stars and 13 forks, and was last updated 15d ago. It's released under the AGPL-3.0 license, a standard open-source license. According to the project, it needs a GPU with at least 1.2 GB of memory and works on macOS.
- License
- AGPL-3.0
- Commercial use
- Copyleft
- Language
- Python
- Stars
- 144
- Last update
- 15d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- 1.2 GB+ (as stated by the project)
- Paid API key
- Not required
- Self-hostable
- Yes
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Hillock FAQ
Can I use Hillock commercially?
With conditions. AGPL-3.0 allows commercial use, but if you modify it or build on it, even as a web service, your code must also be released under AGPL. This is a plain-English summary, not legal advice.
Is Hillock free?
Yes. Hillock is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does Hillock run on a Mac?
Yes. According to the project, Hillock works on macOS.
Does Hillock need a GPU?
According to the project, Hillock needs a GPU with at least 1.2 GB of memory.
Is Hillock still maintained?
Yes. It was last updated 15d ago and has 3 open issues on GitHub.
What are alternatives to Hillock?
Similar free, open-source tools include dyad, openclaw, unsloth, ollama.