I’ve been thinking seriously about knowledge management for years. I’ve tried Notion, Obsidian, Loop, and a half-dozen other tools. Each time the system works brilliantly for about three months and then quietly falls apart. Not because the tool is bad. Because maintenance is hard, and …

• Core argument: Traditional second brain systems built on CODE/PARA methodology become impossible to maintain manually at scale.
• Solution: Integrate AI agents to actively participate — organising notes, creating cross-links, and distilling insights automatically.
• Three pillars: Machine-readable …

• Core problem: AI memory alone creates context collapse — it recalls fragments but can’t reason across them. A 3-layer Context Stack turns scattered facts into structured, business-specific knowledge your AI uses before every response.
• Layer 1 — Identity Context: Who you are: business model, ICP, …

• Core product: AI agents automate web tasks — data extraction, form filling, and multi-step workflows.
• Two modes: Cloud-based agent interface plus an embeddable chatbot (Rover) deployable via a single script tag.
• Use cases: Web automation and data extraction without code.

Entities: rtrvr.ai