beever-atlas: Turn Conversations into a Live LLM‑Powered Wiki
From the repo · “Your First LLM-Wiki Conversation Knowledge Base”
Build a conversation knowledge base using a large language model.
"A founder, Alex, wants to help her users with common queries. She sets up beever-atlas in 30 minutes and asks it to answer questions about their product. After a week, she adds 20 new answers and sees a 25% reduction in support tickets."
- •You need to manage a large corpus of conversational data from your chatbot or language model
- •You want to create a knowledge base that can be queried and updated dynamically
- •You're looking for a tool to help you analyze and understand user interactions with your language model
curl -X POST 'http://localhost:5000/api/v1/kb' -H 'Content-Type: application/json' -d '{"question": "What is the meaning of life?", "context": "philosophy"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/beever-atlas && curl -fsSL https://workflowstacks.com/api/skills/beever-atlas/claude-skill -o ~/.claude/skills/beever-atlas/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/beever-atlas && curl -fsSL https://workflowstacks.com/api/skills/beever-atlas/claude-skill -o ~/.claude/skills/beever-atlas/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
AI Support Agent (Chat)
A chat agent that answers customer questions from YOUR business info — with conversation memory. It never invents policies; anything it doesn't know, it hands to a human.
Outcome guideTurn meeting notes into a summary email automatically
Paste the transcript into a private form and the workflow writes and emails a concise recap — decisions, owners, open questions — that people will actually read.
MCP configMemory (knowledge graph) MCP config
Persistent memory across chats via a local knowledge graph.
Related skills
More mcp-server tools founders pair with this one.