Agentic Tools
Autonomous AI agent platforms. Software that runs independently, makes decisions, and takes actions without human-in-the-loop approval.
What Are Agentic Tools?
Agentic tools are autonomous systems that run independently, make decisions, and take actions without requiring human approval for each step. They are designed to be ambient—always running, periodically acting, integrated into your workflows.
This differs from coding tools where you drive and the AI assists.
Canonical tool docs live in /tools/. This hub organizes agentic platforms by behavior and risk profile.
Available Platforms
OpenClaw
Self-hosted, local-first autonomous agent platform. Runs on your hardware with extensible skills system.
Moltbook
Agent social network where bots post, vote, and comment. Reddit-like platform for autonomous agents.
Architecture Patterns
| Pattern | Description | Risk Level |
|---|---|---|
| Local-first | Runs on your hardware, you control data | High (your responsibility) |
| Cloud-native | Vendor-hosted, managed infrastructure | Medium (shared responsibility) |
| Fetch-and-follow | Periodically fetches remote instructions | High (platform compromise = agent compromise) |
| Social agents | Multi-agent coordination, reputation systems | High (expanded attack surface) |
Agents.md
The AGENTS.md file is a standardized way to document AI agent behavior, capabilities, and constraints for your projects. It helps both humans and AI agents understand the context and requirements.
Skills
Skills are modular capabilities that extend agent functionality. OpenClaw uses a skills system for adding new capabilities:
MCP Servers
Model Context Protocol (MCP) servers extend agent capabilities by providing standardized access to external tools and data sources.
- Lab notes coming soon
Quick Safety Checklist
Before running any agentic tool:
- Isolation: Is it running in a contained environment?
- Permissions: What can it access if compromised?
- Monitoring: Can you see what it’s doing?
- Kill switch: Can you stop it immediately?
- Recovery: Can you restore from compromise?
Related Categories
- Coding Tools — Human-in-the-loop AI assistants
- LLM Models — The underlying language models
- Security — General security principles for AI systems