Collab365 trials Super Memory to fix AI tools session forgetfulness
Collab365 has begun trialing Super Memory, a retrieval system that turns unstructured business data into a searchable knowledge graph. It pulls facts, product rules, opinions and documents from sources like Google Docs, transcripts, Cloudflare AI inbox and X bookmarks. The graph then injects relevant context directly into AI prompts for tools such as Claude. This setup ends the need to repaste documents at the start of every session. Current AI context windows, even at one million tokens, fall short for a full product stack including pricing history and upsell paths. Around a third of generative AI users have already adopted similar retrieval-augmented generation techniques. The trial excludes customer data for privacy and skips structured data to avoid high token costs and poor retrievals.
Bootstrapped founders feed AI the same product details and pricing tweaks session after session, only for context to vanish and force error-prone restarts. This fuels hours lost to hallucinations in copy drafts, legal docs or PMF tests, trapping builders in non-revenue code tweaks. Super Memory persists that knowledge across tools, letting AI chains handle full business logic without babysitting. It shifts the moat from fleeting models to durable company memory, enabling solo ops to scale asynchronous workflows that actually sell.
Analysis
Forget model hype; persistent memory like this murders builder's avoidance by letting AI autonomously crank direct response funnels from your exact rules and hates. Ingest your Google Docs, X bookmarks and pricing history into a Cloudflare RAG setup right now, then prompt Claude to output a full Grand Slam Offer sequence – that's your ticket to traction without traffic starvation.
Pulse published by Collab365 Spaces. Cite as "Collab365 trials Super Memory to fix AI tools session forgetfulness", Collab365 Spaces.