📚 llm-wiki-kit

Stop re-explaining your research to your AI agent every session.

llm-wiki-kit gives your AI agent a persistent, structured memory that compounds over time. Drop PDFs, URLs, YouTube videos — your agent builds a wiki, connects the dots, and remembers everything across sessions.

Based on Karpathy's LLM Wiki pattern. Works with Claude, Codex, Cursor, Windsurf, and any MCP-compatible agent.

https://github.com/user-attachments/assets/8814a581-1832-4e94-a5df-9e9b6b041507

The Problem

Every time you start a new chat:

You: "Remember that paper on speculative decoding I shared last week?"
Agent: "I don't have access to previous conversations..."
You: *sighs, re-uploads PDF, re-explains context*

You're constantly re-teaching your agent things it should already know.

The Solution

With llm-wiki-kit, your agent maintains its own knowledge base:

You: "What did we learn about speculative decoding?"
Agent: *searches wiki* "Based on the 3 papers you've shared, the Eagle 
       architecture shows the best efficiency tradeoffs because..."

The wiki persists. Cross-references build up. Your agent gets smarter with every source you add.

⚡ Quickstart (2 minutes)

1. Install

pip install "llm-wiki-kit[all] @ git+https://github.com/iamsashank09/llm-wiki-kit.git"

2. Initialize a wiki

mkdir my-research && cd my-research
llm-wiki-kit init --agent claude

3. Connect your agent

Add to Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "llm-wiki-kit": {
      "command": "llm-wiki-kit",
      "args": ["serve", "--root", "/path/to/my-research"]
    }
  }
}

codex mcp add llm-wiki-kit -- llm-wiki-kit serve --root /path/to/my-research

{
  "mcpServers": {
    "llm-wiki-kit": {
      "command": "llm-wiki-kit",
      "args": ["serve", "--root", "/path/to/my-research"]
    }
  }
}

{
  "mcpServers": {
    "llm-wiki-kit": {
      "command": "llm-wiki-kit",
      "args": ["serve", "--root", "/path/to/my-research"]
    }
  }
}

4. Use it

You: "Ingest this paper: raw/attention-is-all-you-need.pdf"
Agent: *creates wiki pages, cross-references concepts, updates index*

You: "Now ingest https://youtube.com/watch?v=kCc8FmEb1nY"
Agent: *extracts transcript, links to existing transformer concepts*

You: "How does the attention mechanism in the paper relate to Karpathy's explanation?"
Agent: *searches wiki, synthesizes answer from both sources*

Your agent now has persistent memory that survives across sessions.

🔥 What Makes This Different

📥 Supported Sources

Your agent can ingest anything:

... View full README on GitHub