KestrelAI – Local-first research assistant with self-scheduling agent clusters

Summary: KestrelAI is a local research assistant that autonomously schedules and performs long-term support tasks like searching, filtering, and organizing evidence using small LLMs on laptops or desktops without server clusters.

What it does

It runs small language models (1–7B) locally via Ollama to execute background research tasks over extended periods, preparing data for review and analysis.

Who it's for

Users needing automated, long-term research support on personal computers without relying on cloud or server infrastructure.

Why it matters

It offloads mechanical research work, enabling focus on complex and novel tasks while running efficiently on local hardware.