L

llmwiki

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

llmwiki is a community MCP server that connects AI assistants like Claude to open source implementation of karpathy's llm wiki. upload documents, connect your claude account via mcp, and have it write your wiki !. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About llmwiki

Overview

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

Links

Topics

agents, ai-agents, claude, karpathy, knowledge-base, llm, llm-wiki, mcp, mcp-server, rag, supabase

Who Should Use llmwiki?

1Chain AI models and pipelines through a unified MCP interface
2Let Claude orchestrate other AI tools and models
3Integrate embeddings, image generation, or speech APIs into your workflow
4Build multi-model workflows without writing custom integration code

How llmwiki Compares

✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.

✦Compared to other AI & ML MCP servers, it focuses on a well-scoped set of capabilities, which keeps the integration lightweight and predictable.

Tags

agentsai-agentsclaudekarpathyknowledge-basellmllm-wikiragsupabase

Reviews

Related MCP Servers

Mantic.sh

A structural code search engine for Al agents.

ai-agentclaudecode-search+4

ClearML MCP

Get comprehensive ML experiment context and analysis directly from ClearML in your AI conversations.

apis-integrationscommunityverified

py-mcp-qdrant-rag

A Model Context Protocol server implementation that provides RAG capabilities through Qdrant vector database integrat...

databasescommunityverified

Memory Graph

Knowledge graph for agent memory.

memorygraphcontext+1