{"repo":"NERVsystems/llm9p","free":true,"listed":false,"github":"https://github.com/NERVsystems/llm9p","clone":"git clone https://github.com/NERVsystems/llm9p.git","description":"LLM exposed as a 9P filesystem","language":"Go","stars":45,"topics":["9p-protocol","ai-agents","inferno-os","llm","mcp-server","plan9"],"license":null,"category":"ai-agents","readme_excerpt":"llm9p LLM access via the 9P filesystem protocol. llm9p enables users, scripts, and AI agents to interact with Large Language Models through standard filesystem operations. Write a prompt to a file, read the response from the same file. Supports multiple backends including Anthropic API, Claude Code CLI, and local LLMs (planned). Supported Backends Backend Status Description --------- -------- ------------- Anthropic API Available Direct API access with your API key Claude Code CLI Available Uses Claude Max subscription via claude command Local LLMs (Ollama) Planned Run models locally without cloud dependencies The pluggable backend architecture makes it easy to add new LLM providers. What is 9P? 9P is a simple, lightweight network filesystem protocol originally developed for Plan 9 from Bell Labs. It lets you access remote resources as if they were local files. This means you can interact with LLMs using basic file operations ( cat , echo , , < ) instead of SDKs or HTTP APIs. Why use 9P for LLM access? - Universal : Any language or tool that can read/write files can use it - Scriptable : Chain LLM calls with standard Unix pipes and shell scripts - Composable : Mount multiple 9P services and combine them - Simple : No libraries, no dependencies, just files Installation Or build from source: Usage Start the Server Option A: Using Anthropic API (requires API key) Option B: Using Claude Max Subscription (via Claude Code CLI) If you have a Claude Max subscription and the Claude Co","default_branch":null,"files":null,"tree":[],"storefront":"/r/NERVsystems","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/NERVsystems/llm9p/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}