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ACTIVE REPOSITORIES // RUFAAD

Architectures built for autonomous execution

We reject theoretical AI consulting. Rufaad builds, deploys, and open-sources live multi-agent loops orchestrated via OpenClaw and Claude-native routing.

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Active Loops Running

100%

Open Source Code

Macro close-up of a dark terminal screen displaying a node-based graph of three agents, neon cyan connections, shallow depth of field
Macro close-up of a dark terminal screen displaying a node-based graph of three agents, neon cyan connections, shallow depth of field
Technical schematic diagram of an API gateway bridge, high-contrast amber telemetry lines on a deep black screen, macro lens
Technical schematic diagram of an API gateway bridge, high-contrast amber telemetry lines on a deep black screen, macro lens
/ FUNCTIONAL PROTOTYPES

Active multi-agent builds

Explore our running systems. We publish our state-machine routing structures and live environments for peer audit.

Orchestrator-01

Claw-Bridge

A state-machine router orchestrating four independent Claude instances to execute complex multi-step code refactoring loops overnight.

High-autonomy connector optimized for low-latency state routing, enabling seamless tool-use handoffs between local runtime environments.

UNDER THE HOOD

Claude-native loop routing

Our state-machines are fully auditable. Below is the core orchestration loop routing multi-agent state transitions through OpenClaw.

routing_engine.py

class AgenticRouter: def __init__(self, agent_id): self.engine = OpenClaw(agent_id) self.state = 'idle' async def route_next(self, payload): self.state = await self.engine.evaluate(payload) return self.state

This router handles multi-agent state transitions, ensuring robust execution even when individual agent prompts time out.

Establish Connection

Ready to deploy active loops?

We are open for technical co-development and partnership contracts with major AI labs.