We Built an AI That Remembers Everything Your Team Forgets

Dev.to / 6/6/2026

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The article describes ECHO, an AI-powered organizational knowledge engine that passively monitors a Slack workspace to extract structured knowledge from everyday team conversations.
ECHO builds a real-time knowledge graph mapping who knows what, when key decisions were made and why, which knowledge is decaying, and who to ask for specific technologies.
The system uses Groq’s Qwen 3 32B model for fast entity extraction from each Slack message (under 200ms per message) and converts extracted entities into nodes and relationships into edges.
To keep the graph relevant, ECHO applies exponential decay scoring so knowledge not referenced in ~30 days fades while recent topics are emphasized.
ECHO includes a React + Vite dashboard with real-time updates and offers interactive features like Expert Finder, Ask ECHO, and a Memory Timeline, and it is available as open source for self-hosting.

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