rnix

README

Rnix

An Operating System for AI Agents — Built with Unix Philosophy

Documentation | 中文版 | Changelog

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# You know Unix? You already know Rnix.
go install github.com/rnixai/rnix/cmd/rnix@latest
rnix -i "Analyze the project structure"
rnix strace 1   # See exactly what your agent did
rnix top        # Real-time process monitor

The Problem

You've built a complex multi-agent workflow — orchestrations, tool chains, retry logic. It breaks. The error is somewhere in a tangled chain of callbacks, role definitions, and LLM calls. You can't see what happened, can't trace execution, can't kill a runaway agent.

Rnix gives your agents the same tools you use to debug operating systems.

How Rnix Is Different

	LangChain	CrewAI	AutoGen	Rnix
Architecture	Library	Library	Library	Runtime
Agent Model	Callbacks	Roles	Conversations	Processes (PID)
Resource Access	APIs	APIs	APIs	Virtual Filesystem
Debugging	LangSmith	Logs	Manual	rnix strace
Dashboard	No	No	No	rnix dashboard
Kill Agent	No	No	No	rnix kill
Language	Python	Python	Python/.NET	Go

Quick Start

# Install
go install github.com/rnixai/rnix/cmd/rnix@latest

# Initialize configuration
rnix init

# Run your first agent
rnix -i "Analyze the project structure"
#
# Trace syscalls
rnix strace 1

# Real-time dashboard
rnix dashboard

v0.7 Highlights

• Dashboard UX — Multi-pane TUI: process history, LLM conversation viewer, intent tree, distributed tracing
• Unified Reasoning Loop — LLM autonomously selects: tool_call / plan / spawn / specialize / complete
• UUID v7 Processes — Time-sortable UUIDs for distributed process tracking
• Native ToolCalls — VFS devices self-describe capabilities, LLM discovers tools dynamically

License

MIT — see LICENSE.

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If Rnix helps you debug AI agents, give us a star on GitHub!

Documentation

Index

• Variables

Variables

var EmbeddedAgents embed.FS

var EmbeddedSkills embed.FS