agent-os
NewAI Agent watcher that helps developers/Agencies build from idea to launch while reducing token usage, preserving context,using 140 skills, and blocks drift, hallucinations, & unsafe actions.
Summary
Agent OS is an AI agent watcher that guides developers and agencies from idea to launch by reducing token usage, preserving context, and leveraging 140 integrated skills.
- It actively blocks drift, hallucinations, and unsafe actions, ensuring efficient and reliable development workflows.
Install & Usage
mkdir -p .claude/agentsAdd the configuration to .claude/agents/agent-os.md
@agent-osUse Cases
Usage Examples
/agent-os monitor my current project for context drift and token waste
/agent-os optimize the token usage in this agent pipeline while preserving all context
/agent-os enforce safety rules on the next agent action to prevent unsafe operations
Security Audits
Frequently Asked Questions
What is agent-os?
Agent OS is an AI agent watcher that guides developers and agencies from idea to launch by reducing token usage, preserving context, and leveraging 140 integrated skills. It actively blocks drift, hallucinations, and unsafe actions, ensuring efficient and reliable development workflows.
How to install agent-os?
To install agent-os: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/agent-os.md. Finally, @agent-os in Claude Code.
What is agent-os best for?
agent-os is a agent categorized under General. It is designed for: agent. Created by helmorx.
What can I use agent-os for?
agent-os is useful for: Monitor an AI agent's behavior during development to detect and prevent context drift and hallucinations.; Optimize token usage across multiple agent interactions to reduce costs in large-scale projects.; Maintain consistent context across a multi-step development pipeline from ideation to deployment.; Enforce safety constraints on agent actions to prevent unintended or unsafe operations.; Integrate with existing skill sets to streamline complex workflows without losing state.; Debug agent decision-making by tracking action sequences and identifying inefficiencies..