Beever Atlas revolutionizes knowledge management by automatically converting team conversations across platforms like Slack, Discord, Microsoft Teams, and Mattermost into a living, searchable wiki. Unlike traditional RAG systems, it continuously distills discussions into a structured, auto-maintained wiki with topic pages and entity graphs, enabling precise, cited answers to natural language questions. This "wiki-first" approach ensures more consistent responses, reduces hallucinations, provides traceable citations, and creates a browsable knowledge artifact that grows with your team's interactions, supporting both direct Q&A and integration with external AI agents via MCP.
主要功能
01Intelligent Q&A Agent with Smart Retrieval Router
02Multi-Platform Integration (Slack, Discord, Teams, Mattermost)
03Automated LLM-powered Wiki Generation with Citations
04Dual Semantic and Graph Memory Architecture
05MCP Server for External AI Agent Integration (Claude Code, Cursor)
065 GitHub stars
使用案例
01Integrating internal team knowledge with external AI agents and coding assistants via MCP.
02Building an evergreen, searchable knowledge base from existing team communication channels.
03Streamlining new team member onboarding by providing distilled, auto-generated channel wikis.
