Beever-atlas
Beever Atlas turns team chat into a cited, self-maintaining wiki with searchable topic pages, entity graphs, and natural-language answers for teams.

Total stars
Last 7 days
440
HostingSelf-hostable
LicenseApache-2.0
LanguagePython
Last commitJul 1, 2026
Latest releaseMay 18, 2026
Release frequency1.0 per month
Contributors7
Stars440
Forks48
Issues58
What it does
Beever Atlas ingests conversations from Slack, Discord, Microsoft Teams, and Mattermost, extracting atomic facts, entities, relationships, and citations. It deduplicates and organizes that information into continuously updated channel wikis containing topics, people, decisions, open questions, timelines, FAQs, glossaries, and resources. Users can browse the wiki or ask natural-language questions that return cited answers from the source messages.
The product provides a React dashboard and can expose the knowledge base through an MCP server for Claude Code and Cursor. It includes scheduled or on-demand synchronization, semantic and graph-based retrieval, and configurable AI providers. The repository documents a self-hosted Docker Compose deployment with backend, bot, web, and supporting data stores, alongside local development options.
Capabilities
#Team knowledge-base pages from capture to shared source of truth
#Enterprise search
#Application connections
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