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Most research tools help you collect links. Kerns is built for ongoing research.<p>You define topics and sources once. Kerns continuously tracks them over time, surfaces what changes, and structures the material so understanding compounds instead of resetting each session.<p>The key difference is the interface layer. Beyond feeds and summaries, Kerns organizes research into reasoning-ready views—maps, structured summaries, and synthesized perspectives—so you can actually think through complex areas rather than just store information.<p>We built this for people doing deep, long-running research (researchers, analysts, investors, founders, autodidacts) where the hard part isn’t finding sources, but keeping a coherent mental model as the space evolves.<p>Would love feedback, especially from people who’ve tried to maintain research across weeks or months.

https:&#x2F;&#x2F;getreplay.app&#x2F;<p>Hi builders! I was falling asleep when the idea for this project came to me. So, I&#x27;ve decided to vibecode it via Lovable to the best of my ability. This is a personal&#x2F;inspirational project, but I&#x27;ve tried to make it as good as possible given the constraints.<p>Tech Stack:<p>- Frontend: React 18 + Vite + Tailwind CSS<p>- AI: Gemini 2.5 Flash (via Lovable AI Gateway) for low-latency, empathetic coaching (to keep costs low and ship fast)<p>- Infrastructure: Lovable Cloud &#x2F; Supabase<p>TL;DR: An LLM-powered &quot;What If&quot; view of your potential. Built for fun, inspiration, and research.<p>I would appreciate your feedback, guys. Thank you in advance!<p>P.S. Initial post got bugged, so I had to recreate it without a hyperlink.

This is a declarative orchestration framework for stateless short-lived LLM agents.<p>Agents are orchestrated by hierarchical state machines (HSMs).<p>The HSMs and agents are defined in YAML, with hooks and webhooks for additional functionality.<p>* FlatAgent: A single LLM call: model + prompts + output schema.<p>* FlatMachine: A state machine that orchestrates multiple agents, actions, and state machines.<p>Examples: - <a href="https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;flatagents&#x2F;tree&#x2F;main&#x2F;sdk&#x2F;python&#x2F;examples" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;flatagents&#x2F;tree&#x2F;main&#x2F;sdk&#x2F;pytho...</a> - <a href="https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;research-crawler-flatagents" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;research-crawler-flatagents</a> - <a href="https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;claude-skills-flatagents" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;memgrafter&#x2F;claude-skills-flatagents</a>