Votee AI and Beever AI open-source Beever Atlas to turn chats into living wikis

Votee AI (Hong Kong) and Beever AI (Toronto) have jointly released Beever Atlas, an open-source tool that transforms streaming team messages from major platforms — Telegram, Discord, Mattermost, Microsoft Teams, and Slack — into a living wiki. Licensed under Apache 2.0, the system automatically indexes and structures conversation history, enabling teams to query their chat archives as if they were browsing a documentation site. Unlike traditional static wikis that require explicit authoring, Beever Atlas continuously updates as new messages flow in, eliminating the friction of manual note-taking or post-meeting summaries.

The project addresses a common pain point in fast-moving organizations: knowledge trapped inside ephemeral chat threads. By converting every exchange into a navigable, searchable format, Beever Atlas reduces the time spent digging for past decisions, context, or technical details. The open-source license allows companies to self-host the tool, maintaining full control over sensitive data. Initial tests show a marked reduction in repetitive questions and onboarding friction. With support for five major chat backends and a growing community on GitHub, Beever Atlas is poised to become a standard layer for organizational memory retrieval in remote and hybrid teams.