Interested in building better AI infrastructure?
AntCache is early. The next step is discussion with people who care about local AI, semantic caching, validation systems, distributed infrastructure, privacy, and open-source engineering.
Get involved
Reach out if you want to talk about the architecture, contribute to an MVP, pressure-test the threat model, or help turn the concept into a real local-first prototype.
What we are looking for.
Engineering feedback
Semantic cache design, artifact schemas, local model routing, validation workflows, benchmarking, and failure modes.
LLM infralocal AIvector searchdistributed systemsSecurity architecture insight
This is an early concept, and security architecture insight, advice, and direction would be greatly appreciated. The goal is to think carefully before building: privacy, abuse prevention, validation, trust, and what could go wrong.
security architectureprivacytrustabuse preventionRepeated inference is real waste, and open systems need better ways to reuse validated work.
AntCache may not solve every AI cost, safety, privacy, or infrastructure problem. It is an early attempt to ask a practical question: when useful AI work has already been done, tested, and validated, should every machine have to pay the full cost to do it again?
If this idea is even partly right, it could make AI cheaper, faster, and more accessible for students, homelabbers, small teams, open-source projects, and anyone trying to do more with limited compute.