The open-source Claude Cowork for OpenClaw

Claude Code best practices -- applied to application design. Interactive HLD/LLD visualization, implementation example. LLM-agnostic, DB-governed, GDPR-ready.

A governed local AI build-and-memory system that trains small brains, compares them, protects the better one, archives the worse one, and preserves the evidence of why. v1.0.0/governed-v2.2.0+

LiAgent OS is a local-first AI agent OS for building a private personal assistant with governed autonomy across local models and hybrid cloud services. It brings conversation, tool use, multi-agent orchestration, task scheduling, heartbeat execution, human approval, and auditability into one long-lived loop.

Omni is a governed cognitive runtime focused on observable reasoning, tool orchestration, safety boundaries, and multi-runtime AI execution.

ARC-Core is a signal-intelligence event spine — a deterministic kernel built to host every project its author has ever developed, in tandem and smoothly, through one universal discipline: every state change is an event, every event produces a signed receipt, and every receipt is authority-gated.

Private-first governed AI operating system for real roles, real work, and real oversight. AI works. Humans govern.

Developer preview repo for NEES Core Engine — a governance layer for production AI apps.

Protected v1.0.0 baseline for ARC-Neuron LLMBuilder — local-first LLM lifecycle tooling for benchmark receipts, candidate promotion, lineage, and governed model improvement.

Governed research-to-decision translator for applied AI: safety-policy intake, claim extraction, bounded tasks, human gate, and audit-ready decision records.

Trustworthy Autonomy: A collection of AI agents (CrewAI, LangChain) governed by Node9 execution security. Secure your terminal, databases, and APIs with Human-in-the-Loop approval.

GAP (Governed Agentic Programming) main repository | The native instruction language of AEP (Agent Element Protocol) | Fully deterministically programmed AI agents. | Paid version GAP runtime will be available on the NLA website soon.

Build a private AI assistant that runs locally with controlled autonomy, combining task management, tool use, and human oversight in one system.

Clear pain-to-proof map linking Razorglint buyer painpoints to systems, usage paths, tiers, and claim boundaries.

Public doctrine and documentation for Ninobyte: Connected AI Operator systems, proof-of-work patterns, and public/private boundaries.

Professional GitHub profile for Daniel Franco Fajardo, Principal Systems Architect focused on critical infrastructure, resilient operations, governed AI adoption, and publication-safe technical proof.

Public documentation for O.M.E.G.A., a governed multi-agent execution framework. Covers architecture, workflows, and integration patterns powered by Keon governance.

Governed agent runtime reference with policy gates, tool schemas, failure modes, and OpenTelemetry-shaped traces.

Organization profile for Ninobyte Labs - Connected AI Operator systems, governed AI workflows, and public-safe proof documentation.

Public proof hub for Isaac Nortey: Connected AI Operator work, architecture, case studies, and governed execution artifacts.