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re:publica 26: OpenClaw and the Architecture of Visible AI Agents

re:publica 26: OpenClaw and the Architecture of Visible AI Agents

AI Agents Do Not Need Better Policies. They Need an Action Inventory.

AI Agents Do Not Need Better Policies. They Need an Action Inventory.

Technical diagram of the Cerebras enterprise knowledge base retrieval pipeline

How Cerebras Built Its Internal Knowledge Base

Technical concept diagram showing Microsoft Ontology Playground as a learning pipeline from domain ontologies to RDF XML export and knowledge graph platform selection

Ontology Playground: Learn the Graph Before You Buy the Graph Database

LangChain open-source software engineering agent factory: local coding, cloud agents, review agents, repo memory, open models, and LangSmith traces.

LangChain’s Open-Source Software Factory

OpenShip self-hosted deployment dashboard, repo screenshot from oblien/openship.

OpenShip: Self-Hosted Deployment for the Agentic Engineering Era

In April 2026, Andrej Karpathy published a GitHub Gist describing a pattern he called the LLM Wiki. In the months since, four different teams have shipped the same idea without coordinating:

The State of Agent Wikis

How @gumclaw, Gumroad's AI operations agent, is set up: Hermes, Fable 5, tools, workflows, shipped work, memory, and guardrails.

How Gumclaw Works

re:publica 26: OpenClaw and the Architecture of Visible AI Agents

re:publica 26: OpenClaw and the Architecture of Visible AI Agents

AI Agents Do Not Need Better Policies. They Need an Action Inventory.

AI Agents Do Not Need Better Policies. They Need an Action Inventory.

Technical diagram of the Cerebras enterprise knowledge base retrieval pipeline

How Cerebras Built Its Internal Knowledge Base

Technical concept diagram showing Microsoft Ontology Playground as a learning pipeline from domain ontologies to RDF XML export and knowledge graph platform selection

Ontology Playground: Learn the Graph Before You Buy the Graph Database

LangChain open-source software engineering agent factory: local coding, cloud agents, review agents, repo memory, open models, and LangSmith traces.

LangChain’s Open-Source Software Factory

OpenShip self-hosted deployment dashboard, repo screenshot from oblien/openship.

OpenShip: Self-Hosted Deployment for the Agentic Engineering Era

In April 2026, Andrej Karpathy published a GitHub Gist describing a pattern he called the LLM Wiki. In the months since, four different teams have shipped the same idea without coordinating:

The State of Agent Wikis

How @gumclaw, Gumroad's AI operations agent, is set up: Hermes, Fable 5, tools, workflows, shipped work, memory, and guardrails.

How Gumclaw Works

Contribute to raj-maharajwala/AI_Agent_Chatbot_Synapse development by creating an account on GitHub.

2. November 2025

GenAI Updates

GitHub – raj-maharajwala/AI_Agent_Chatbot_Synapse

Meet Synapse Workflows, a neat little platform that feels like having three specialists in one…

The Web3 AI Agent Solution. Contribute to webisopen/OpenAgent development by creating an account on GitHub.

1. November 2025

GenAI Updates

GitHub – webisopen/OpenAgent: The Web3 AI Agent Solution

OpenAgent: A friendly starting point for Web3 AI agents If you’ve landed here, you’re probably…

By Vivek Trivedy We're excited to introduce DeepAgents CLI for coding, research, and building agents with persistent memory. Now you can easily create and run custom DeepAgents directly from the terminal. It supports: * Read, write, and edit files in your project * Execute shell commands with human approval * Search the web

1. November 2025

GenAI Updates

Introducing DeepAgents CLI

Meet DeepAgents CLI — your terminal buddy for building agents with memory I tried DeepAgents…

This IBM video explains how AI agents and decision agents enhance automation by combining rules and machine learning. James Taylor, Executive Partner at Blue Polaris, demonstrates multi-method agentic AI using a bank loan example. The system integrates large language models with workflow and decision platforms for efficient decision-making and solving real-world challenges.

31. Oktober 2025

GenAI Updates

How AI Agents and Decision Agents Combine Rules & ML in Automation

How AI Agents and Decision Agents Combine Rules & Machine Learning for Better Automation If…

In this keynote, Marc Andreessen and Ben Horowitz discuss the highlights of the a16z Runtime conference, the current capabilities of Large Language Models (LLMs), and why AI is not a bubble despite significant investments. They explore the nature of human creativity versus AI creation, the relationship between intelligence and power, and the future of robotics and reindustrialization.

31. Oktober 2025

GenAI Updates Published

Marc Andreessen and Ben Horowitz on the State of AI

Marc Andreessen and Ben Horowitz on the State of AI If you’re curious about where…

This comprehensive 11-lesson course introduces the Model Context Protocol (MCP), a powerful framework for building secure, scalable, and practical AI applications. Learn core concepts, practical development, advanced implementation, and real-world case studies.

31. Oktober 2025

GenAI Updates Published

Model Context Protocol (MCP) – Complete Beginner Course (Lessons 1-11)

Model Context Protocol (MCP) — Complete Beginner Course (Lessons 1-11) If you’ve been curious about…

This video emphasizes that successful AI adoption is a behavioral challenge, not merely a digital transformation. It highlights the need for leaders to drive organizational change, set clear expectations, and align teams beyond simply rolling out AI tools to achieve real business results.

31. Oktober 2025

GenAI Updates

Why AI Adoption Requires a Behavioral Shift, Not Just Digital Transformation

You might think AI is just another tech upgrade, something IT can flip on and…

Chip Huyen, a core developer on Nvidia’s Nemo platform and former AI researcher at Netflix, shares her unique insights into building successful AI products. She is also the author of two widely read books on AI, including 'AI Engineering'. The discussion covers critical aspects of AI strategy, development, and user experience.

31. Oktober 2025

GenAI Updates

AI Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)

AI Engineering 101 with Chip Huyen — practical lessons for builders If you’re curious about…

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-docs

31. Oktober 2025

GenAI Updates

GitHub – google/adk-docs: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Meet the Agent Development Kit (ADK) If you’re curious about building smarter, more flexible AI…

The October n8n Livestream showcases product updates, live demos, and community stories. It features early designs for AI Guardrails and Human-in-the-Loop nodes, a Pinecone integration demo, and a community update on n8n coworking sessions. This monthly event offers insights into new features and connects users with the n8n community.

30. Oktober 2025

GenAI Updates

n8n Livestream: AI Guardrails, Pinecone Integration & Community Highlights

n8n Livestream: AI Guardrails, Pinecone Integration & Community Highlights If you caught the October n8n…