What Is a Claw Architecture?
The name “Claw” represents each pattern’s ability to grab a specific set of trade-offs among speed, security, autonomy, and cost.
| Standard | Focus | Complexity | Use Case |
|---|---|---|---|
| OpenClaw | Maximum productivity | Low | Unrestricted personal use |
| ZeroClaw | Zero dependencies | Low | Offline, Complete Privacy |
| NanoClaw | Extreme minimalism | Minimum | Edge, IoT, Raspberry Pi |
| TinyClaw | Local multi-agents | Medium | Agent teams |
| IronClaw | Zero-Trust Security | High | Critical environments |
| Agent Zero | Self-evolution | High | Autonomous Systems |
Why Learn the 6 Patterns?
Knowing only one pattern is like having just one hammer. Each Claw solves a different set of problems, and choosing the wrong one can mean weeks of rework.
- · Informed choice for each project
- · Smooth migration between standards
- · Component reuse across Claws
- · IronClaw in a prototype = unnecessary slowness
- · OpenClaw in production = critical vulnerability
- · NanoClaw for multi-agent use = impossible to scale
OpenClaw — The Open Assistant
OpenClaw is INTELECTO's default standard — full access to the file system, internet, and tools. Ideal for personal use when you are the only user.
ZeroClaw and NanoClaw — Maximum Lightweight Design
ZeroClaw eliminates all external dependencies — works 100% offline. NanoClaw goes further: a single Python file with fewer than 500 lines.
- Model: Local Ollama (Llama 3, Mistral)
- Memory: Local SQLite
- Channels: Terminal or local web interface
- Size: fewer than 500 lines of Python
- Dependencies: Only stdlib + one LLM library
- Target: Raspberry Pi, minimal VPS
IronClaw — Maximum Security
IronClaw implements complete Zero-Trust: every operation is audited, tools run in an isolated sandbox, and no action takes place without explicit approval for high-risk operations.
Agent Zero — Self-Construction and Meta-Cognition
The most advanced pattern: agents that analyze their own performance, identify gaps, and create or modify their own tools and memories to improve progressively.
- · Rate limit for self-modifications per period
- · Human approval before changes to SOUL.md
- · Automatic rollback if metrics worsen