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Turn team chats into a typed knowledge graph and auto-generated wiki.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.Beever-AI/beever-atlas" yet — see the docs or source repo.
Please read our project group chats from the last two weeks, extract requirements, decisions, owners, timelines, and dependencies, organize them into a structured knowledge graph, and generate a browsable project wiki.
A set of project entities and relationships, key decision summaries, and an auto-generated wiki structure.
Identify terms, workflows, FAQs, and best practices from our team’s daily chats, build a typed knowledge graph, and generate internal knowledge base pages organized by topic.
Clearly organized knowledge entries, an entity relationship network, and wiki content that is easy for new team members to browse.
Analyze product, engineering, and operations chats to identify the background, discussion process, final decisions, and related people for major decisions, then generate decision pages with timelines.
A timeline-based decision record, linked supporting context, and a continuously maintainable decision wiki.
Connect a Git-native knowledge base so AI can search, write, and rewind context.
Let AI agents search, read, and update a self-hosted Markdown team wiki.
Create, organize, and explore knowledge with an AI-native markdown wiki editor.
Build graph-based memory and semantic search for LLM applications.
Use a hosted domain-specialized LLM and MCP tools for coding and security tasks.
Query and understand large codebases with a fast knowledge graph for AI agents.