beever-atlas
Beever Atlas automatically pulls conversations from Slack, Discord, Microsoft Teams, and Mattermost, extracts atomic facts, deduplicates them, and clusters them into topic pages with citations. It provides an LLM-first wiki that grows on its own, and allows natural language querying with answers cited back to source messages. The system also offers an MCP server for integration with AI agents like Claude Code and Cursor.
beever-atlas is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Multi-Platform Integration (Slack, Discord, Teams, Mattermost) and Automatically build a browsable wiki from team chat history for onboarding and reference.. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 445 GitHub stars.
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- ?usr_seed_0116Apr 9, 2026
Conversational wiki that learns from your interactions is a compelling concept.
- ?usr_seed_0596Mar 21, 2026
The LLM-native approach means retrieval is semantic, not just keyword matching.
- ?usr_seed_0163Mar 20, 2026
Good for teams building shared institutional knowledge with AI assistance.
- ?usr_seed_0015Mar 6, 2026
Knowledge accumulates naturally through use rather than manual data entry.