SlackMemory: Team Knowledge Retention
Automatically surfaces forgotten Slack conversations and decisions to teams when they're relevant again, preventing duplicate discussions and lost institutional knowledge.
The Problem
Teams constantly re-discuss solved problems, re-decide already-made decisions, and lose context about why things were done because Slack messages disappear into the noise after 2-3 weeks. Engineers ask 'why do we use this tool?' months later when the decision thread is buried. Product teams debate the same feature request twice without realizing it was already rejected.
Target Audience
Remote-first teams (5-50 people) in tech, startups, and agencies using Slack heavily for async work and institutional memory.
Why Now?
LLM embeddings and semantic search are now cheap/fast enough to run on every Slack message. Teams are increasingly distributed and async, making knowledge loss more expensive. Slack's native features still can't solve this.
What's Missing
Slack's search is reactive (you must remember to search). No product proactively reminds teams about past decisions or conversations when they become relevant again. Context loss is treated as inevitable, not solvable.
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