# OpenClaw Published articles for OpenClaw. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 🎙 How I AI: GPT-6 Astra is a banger + Stripe's AI playbook + Grok Bot vs. OpenClaw: why I replaced my entire agent stack DevFeed: [🎙 How I AI: GPT-6 Astra is a banger + Stripe's AI playbook + Grok Bot vs. OpenClaw: why I replaced my entire agent stack]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-09-07T15:02:41Z Content type: opinion Language: en Sources: [Lenny's Newsletter]() Topics: [Bot](), [OpenClaw](), [Artificial Intelligence](), [Linear](), [Slack](), [soc 2]() Tags: [agent](), [ai](), [linear](), [openclaw](), [slack](), [soc-2]() ### AI overview A podcast episode compares Grok Bot with OpenClaw through Claire's migration of her agent setup. It discusses using specialized bots for inboxes, family coordination, pull-request review, compliance monitoring, customer support, subscription audits, and shopping, along with permissions, multi-account access, and maintaining agent context and routines. ### Source excerpt Your weekly listens from How I AI, part of the Lenny's Podcast Network ## Grok Bot vs. OpenClaw: How I replaced my entire agent stack DevFeed: [Grok Bot vs. OpenClaw: How I replaced my entire agent stack]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-09-02T12:03:39Z Content type: comparison Language: en Sources: [Lenny's Newsletter]() Topics: [OpenClaw](), [multi-agent](), [Bot](), [Pull Request](), [soc 2 compliance](), [Monitoring](), [Support](), [Slack]() Tags: [agents](), [bots](), [helpdesk](), [monitoring](), [multi-agent](), [openclaw](), [rbac](), [slack](), [soc-2-compliance]() ### AI overview A podcast episode compares Grok Bot with OpenClaw and explains why the host migrated a multi-agent setup to Grok Bot. It covers bots for inboxes, Slack, PR management, SOC 2 monitoring, customer support, family tasks, and personal activities, along with the migration process. ### Source excerpt Watch now | 🎙 I've been running Grok Bot for several weeks, and I've killed every OpenClaw I had. Here are the nine bots doing real work across my inbox, my kids' school pickups, my PR queue, and my wardrobe ## How to build a Company Operating System with Hermes and OpenClaw DevFeed: [How to build a Company Operating System with Hermes and OpenClaw]() Original publisher: [Read original article]() Author: Aakash Gupta Published: 2026-08-28T22:38:13Z Content type: tutorial Language: en Sources: [Product Growth]() Topics: [OpenClaw]() Tags: [agent](), [build](), [how-to](), [openclaw]() ### AI overview This podcast episode explains how to build a Company OS using Hermes and OpenClaw. It covers an open-source agent skeleton, Slack and Telegram integration, continuous operation, automated skill generation, persistent identity, memory layers, and measuring product context coverage. ### Source excerpt Claude Code is just the start of what a Company OS can do. Here's how to take it to the next level. ## OpenClaw went viral. Meet the maintainers building and securing it. DevFeed: [OpenClaw went viral. Meet the maintainers building and securing it.]() Original publisher: [Read original article]() Author: Gregg Cochran Published: 2026-08-27T16:00:00Z Content type: article Language: en Sources: [GitHub Engineering]() Topics: [OpenClaw](), [Maintainers](), [pull-requests](), [GitHub](), [Code review](), [supply-chain-security](), [Security](), [Artificial Intelligence]() Tags: [agent](), [agents](), [ai](), [ai-agents](), [blog](), [code](), [contributors](), [developers](), [development](), [github](), [maintainers](), [open-source](), [openclaw](), [pull-request](), [pull-requests](), [review](), [security](), [supply-chain]() ### AI overview OpenClaw maintainers discuss the project's rapid growth, the resulting flood of pull requests, contributor trust, code review, software supply chain risks, and security. They describe welcoming contributions from first-time contributors, non-developers, and people using AI agents while refining promising changes. ### Source excerpt OpenClaw is the fastest-growing project in GitHub history. Peter Steinberger and several maintainers share what they learned in the project's first six months. The post OpenClaw went viral. Meet the maintainers building and securing it. appeared first on The GitHub Blog. ## 🎙 How I AI: Grok Bot + Grok 4.6--what's great (and what's still hype) & Lessons from spending $20,000 on Devin in one month DevFeed: [🎙 How I AI: Grok Bot + Grok 4.6--what's great (and what's still hype) & Lessons from spending $20,000 on Devin in one month]() Original publisher: [Read original article]() Author: Lenny Rachitsky Published: 2026-08-24T15:02:23Z Content type: opinion Language: en Sources: [Lenny's Newsletter]() Topics: [Artificial Intelligence](), [Bot](), [cursor](), [OpenClaw](), [Claude](), [Frontier Model](), [GitHub](), [email](), [Slack]() Tags: [agent](), [ai](), [claude](), [cursor](), [frontier-model](), [github](), [openclaw](), [podcast]() ### AI overview This solo podcast episode evaluates Grok Bot, Cursor Origin, and Grok 4.6. It finds Grok Bot's multi-account connectors particularly useful, describes its simplicity as both a strength and a limitation, considers Cursor Origin promising but not yet a strong replacement for GitHub, and reports that Grok 4.6 performed competitively in the presenter's blind evaluations. The episode also favors Claude Sonnet 5 for concise, responsive agent conversations. ### Source excerpt Your weekly listens from How I AI, part of the Lenny's Podcast Network ## I spent $20,000 on Devin in a month. Here's what I learned | Ryan Carson (solo founder) DevFeed: [I spent $20,000 on Devin in a month. Here's what I learned | Ryan Carson (solo founder)]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-08-24T12:04:02Z Content type: opinion Language: en Sources: [Lenny's Newsletter]() Topics: [coding](), [Claude Code](), [codex](), [Claude](), [Monitoring](), [OpenClaw](), [OpenAI]() Tags: [agents](), [building](), [claude](), [claude-code](), [codex](), [cursor](), [monitoring](), [openclaw]() ### AI overview A podcast episode featuring solo founder Ryan Carson discusses how he uses concurrent Devin agents and other AI tools for engineering, customer success, operations, and product work. The episode also covers monitoring accounts, managing pull-request workflows, choosing between Codex, Devin, and Claude Code, and using Claude Design with Codex. ### Source excerpt Watch now | 🎙 Solo founder Ryan Carson runs 15 concurrent Devin agents to handle engineering, customer success, and investor updates, and he uses a handwritten list to keep it all straight ## How Ora benchmarks every major AI agent on Vercel DevFeed: [How Ora benchmarks every major AI agent on Vercel]() Original publisher: [Read original article]() Author: Kevin Sundstrom Published: 2026-08-21T21:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [AI Agent](), [benchmarking](), [Vercel](), [agent observability](), [Traces](), [Claude Code](), [Latency](), [ChatGPT](), [OpenClaw](), [backends](), [Front end]() Tags: [ai](), [ai-agent](), [authentication](), [benchmarks](), [chatgpt](), [claude-code](), [deployment](), [latency](), [openclaw](), [software](), [tools](), [traces](), [vercel](), [web]() ### AI overview Ora benchmarks major AI agents by running them against live customer websites and recording the cost, latency, steps, and traces required to complete workflows. Built on Vercel, the platform provides the front end, back end, and agent runtime through one deployment path. ### Source excerpt Ora on Vercel Front end, back end, and agent runtime on one platform Every major agent tested side by side on live sites Hundreds of commits a day from a 16-person engineering team Ora sends agents onto live websites with instructions to sign up for a product, integrate with it, and pay for it. Agents often fail, and by Ora's estimate, 99% of the web isn't agent-ready. The platform shows customers where and why agents fail, and what to change. Assaf Elovic, co-founder of Ora, spent years helping agents discover the web. His previous company, Tavily, built a web search engine for AI agents and was acquired by Nebius earlier this year. Search solved half the problem, but an agent that finds a product still has to actually use it. He and co-founder Liad Yosef started Ora to measure how ready the web is for agents, and to fix the parts that aren't. Today that means spawning agents against live customer sites from journey.ora.ai, where Ora runs a journey and records the cost, latency, and steps an agent needs to finish a task. The platform runs on Vercel, including the agent runtime. Benchmarking every major agent side by sideEvery harness expects its own infrastructure Agents decompose into two parts: a model, which does the reasoning, and a harness, the software that gives the model its tools and drives it from step to step. Ora's lineup covers the agents customers use most: Claude Code, ChatGPT, Gemini, Hermes, OpenClaw, and eve, Vercel's agent framework. Ora runs each agent on a customer's website and watches how it handles common workflows. No two harnesses want the same infrastructure. Each expects its own environment and exposes its steps differently, so Ora runs a separate runtime for every harness and traces every step. Ido Finder, who leads engineering at Ora, calls that side-by-side coverage one of the most valuable things ora brings to its customers. When an agent stalls in a signup flow, the customer sees which step and what it tried. Without the trace, the ## Meta offers retention equity grants as staff leave; article examines Grok Bot and OpenClaw DevFeed: [Meta offers retention equity grants as staff leave; article examines Grok Bot and OpenClaw]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-08-14T16:55:55Z Content type: article Language: en Sources: [The Pragmatic Engineer]() Topics: [Meta](), [OpenClaw](), [AI Bots]() Tags: [agents](), [ai-agents](), [meta](), [openclaw]() ### AI overview The article discusses Meta offering more than $1 million in retention equity grants to employees who are leaving and considers whether Grok Bot could represent an "OpenClaw moment" for managed AI agents. ### Source excerpt The social media giant is offering $1M+ retainer equity grants to staff who are leaving: and even this is not effective. Also: is Grok Bot the "OpenClaw moment" for managed AI agents? ## How Voice-Directed AI Agents Could Change Computer Use DevFeed: [How Voice-Directed AI Agents Could Change Computer Use]() Original publisher: [Read original article]() Author: Peter Yang Published: 2026-08-12T14:03:57Z Content type: opinion Language: en Sources: [Behind the Craft]() Topics: [Artificial Intelligence](), [ChatGPT](), [Orchestration](), [Cloud](), [interface](), [OpenClaw]() Tags: [agents](), [ai](), [chatgpt](), [interface](), [openclaw](), [orchestration](), [software]() ### AI overview This opinion article argues that computer use may shift from manually operating keyboards, mice, and laptops toward directing AI agents with voice. It outlines possible changes involving voice orchestration, cloud-based personal computers, agent-first products, software commoditization, and trust. ### Source excerpt Why we'll soon be orchestrating agents in the cloud with voice instead of manually using our keyboard, mouse, and laptop ## What is Openclaw? DevFeed: [What is Openclaw?]() Original publisher: [Read original article]() Author: Roger Perkin Published: 2026-07-24T13:32:05Z Content type: article Language: en Sources: [Roger Perkin Network Automation Consultant]() Topics: [OpenClaw](), [AI Agent](), [Open Source](), [Shell](), [Cloud](), [Discord](), [Slack]() Tags: [ai-agent](), [cloud](), [discord](), [faq](), [open-source](), [openclaw](), [shell](), [slack]() ### AI overview OpenClaw is described as an autonomous, open-source AI agent that can run locally or on a cloud server. It operates in the background, reading files, executing shell commands, and taking actions across apps including WhatsApp, Discord, and Slack. ### Source excerpt OpenClaw is an autonomous, open-source AI agent that runs locally on your machine or cloud server. Unlike traditional chatbots that only answer questions, it operates 24/7 in the background, reading files, executing shell commands, and taking proactive actions on your behalf across apps like WhatsApp, Discord, or Slack. ## Agent skills are changing platform engineering. But are they secure? DevFeed: [Agent skills are changing platform engineering. But are they secure?]() Original publisher: [Read original article]() Author: Nigel Douglas Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Agent Skills](), [Platform Engineering](), [Security](), [Artificial Intelligence](), [OpenClaw](), [anthropic]() Tags: [agent-skills](), [agentic-ai](), [ai](), [ai-agents](), [open-source](), [openclaw](), [platform-engineering](), [security]() ### AI overview The article examines how Agent Skills--folders containing instructions, scripts, and resources--extend AI agents with specialized capabilities in platform engineering. It discusses their productivity benefits, their distribution through public libraries such as ClawHub, and the security risks created by untrusted skills and expanding tool sprawl. ### Source excerpt Explore how Agent Skills fit into the platform engineering stack, the security risks of public skill libraries, and how OSM helps detect malicious AI skills ## The future of AI-native Is open source DevFeed: [The future of AI-native Is open source]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: opinion Language: en Sources: [Platform Engineering Blog]() Topics: [Open Source](), [AI Infrastructure](), [Platform Engineering](), [Nvidia](), [Dynamo](), [NeMo](), [rocm](), [Linux](), [OpenClaw]() Tags: [ai-infrastructure](), [linux](), [nemo](), [nvidia](), [open-source](), [openclaw](), [platform-engineering](), [rocm]() ### AI overview The article argues that AI infrastructure is undergoing a structural shift as NVIDIA and AMD open-source software for running and optimizing their hardware. It presents this as a platform engineering decision: ecosystem adoption and open software stacks may matter more than proprietary software control. ### Source excerpt Chip vendors like NVIDIA and AMD are open sourcing the software that runs their AI hardware. Here is why that shift is a platform engineering decision. ## Building a Personal Assistant Orchestrator with Claude Code and Headless Sub-Agents DevFeed: [Building a Personal Assistant Orchestrator with Claude Code and Headless Sub-Agents]() Original publisher: [Read original article]() Author: Eugene Petrenko Published: 2026-07-19T00:00:00Z Content type: article Language: en Sources: [Eugene Petrenko]() Topics: [AI Agent](), [Claude Code](), [Code](), [Processes](), [Git](), [Slack](), [OpenClaw]() Tags: [ai-agent](), [ai-agents](), [ai-coding](), [architecture](), [claude-code](), [code](), [comparison](), [eugene-petrenko](), [git](), [hermes-agent](), [infrastructure](), [jonnyzzz](), [openclaw](), [process](), [prompt](), [self-improvement](), [slack](), [tag-41199d53f463](), [workflow]() ### AI overview The article describes building a personal-assistant orchestrator from a prompt in an interactive Claude Code session. It routes requests from Slack and Telegram, assigns each task to a fresh headless sub-agent process, and uses files, process boundaries, and git to manage work and recovery. The author also compares the approach with OpenClaw and Hermes. ### Source excerpt In one afternoon -- one pasted prompt, included below -- we turned an interactive Claude Code session into a personal-assistant orchestrator: channels in, a fresh headless sub-agent per request, an inbox loop that delivers finished work before taking new work, and a three-lens quorum that reviews and ships its own process fixes. By day two it was also babysitting the machine's other AI Agent consoles through a guarded keystroke path. No daemon, no webhooks, no database -- jsonl files, blocking CLIs, and git as the deployment mechanism -- and a hands-on comparison against OpenClaw and Hermes. ## Why the author replaced Hermes Agent and OpenClaw with a simpler personal AI assistant DevFeed: [Why the author replaced Hermes Agent and OpenClaw with a simpler personal AI assistant]() Original publisher: [Read original article]() Author: Owain Lewis Published: 2026-07-18T10:16:21Z Content type: opinion Language: en Sources: [The AI Engineer]() Topics: [Artificial Intelligence](), [OpenClaw](), [Messaging](), [coding]() Tags: [agent](), [ai](), [coding-agents](), [messaging](), [openclaw](), [personal]() ### AI overview The author explains why Hermes Agent and OpenClaw became frustrating to use as a daily AI personal assistant, focusing on their complexity and overhyped features. The article describes the personal assistant pattern, messaging gateways, and the author's simpler solution built around organisational tasks and existing coding agents. ### Source excerpt How I built my own personal AI Chief of Staff without all the complexity. ## Security Week 2627: поддельные инструменты ИИ как приманка для малого бизнеса DevFeed: [Security Week 2627: поддельные инструменты ИИ как приманка для малого бизнеса]() Original publisher: [Read original article]() Author: Kaspersky\_Lab ("Лаборатория Касперского") Published: 2026-06-30T12:05:19Z Content type: news Language: ru Sources: ["Лаборатория Касперского" RU]() Topics: [Security](), [Claude](), [OpenClaw]() Tags: [2026](), [claude](), [openclaw](), [report](), [security](), [smb](), [tag-9fe8963de219](), [tag-cc2a6346d835]() ### AI overview The article reports on Kaspersky researchers' analysis of threats targeting small and medium-sized businesses. From January through April 2026, Kaspersky security solutions detected 33,352 attacks in which malware or potentially unwanted software was disguised as one of five popular AI services, nearly five times the comparable 2025 figure. Claude and OpenClaw are identified among the lures, alongside phishing and scam campaigns targeting businesses. ### Source excerpt На прошлой неделе исследователи "Лаборатории Касперского" опубликовали разбор ландшафта угроз для малого и среднего бизнеса. По данным отчета, небольшие компании остаются мишенью как для операторов массовых вредоносных кампаний, так и для тех, кто использует подрядчика как точку входа в инфраструктуру более крупной организации. Авторы статьи отдельно отмечают, что в 2026 году одной из главных приманок стали популярные ИИ-сервисы. Главная новость в отчете: с января по апрель 2026 года защитные решения "Лаборатории Касперского" зафиксировали 33 352 атаки на малый и средний бизнес, в которых вредоносное или потенциально нежелательное ПО маскировалось под один из пяти популярных ИИ-сервисов. Это почти в пять раз больше, чем за аналогичный период 2025 года. Всего было обнаружено более 1100 уникальных образцов такого ПО -- на 21% больше, чем в прошлом году. В основном это разнообразные троянские программы, в том числе загрузчики, которые подтягивают на скомпрометированную машину дополнительную нагрузку. Среди приманок авторы называют сервис Claude и приложение OpenClaw (бывший Clawdbot, он же Moltbot), ставшие особо популярными в 2026 году. Как и следовало ожидать, чем более на слуху конкретный инструмент, тем выше вероятность столкнуться с его поддельной копией в Сети. Разбивку по типам популярных сервисов, под которые маскировались вредоносные кампании, можно посмотреть на скриншоте выше. Читать далее ## What a Raspberry Pi Can (and Can't) Do With AI DevFeed: [What a Raspberry Pi Can (and Can't) Do With AI]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-06-24T11:54:14Z Content type: article Language: en Sources: [RaspberryTips]() Topics: [Artificial Intelligence](), [Local AI](), [Large language models (LLMs)](), [object-detection](), [OpenClaw]() Tags: [ai](), [applications](), [computer-vision](), [cpu](), [gpu](), [hardware](), [large-language-models-llms](), [local](), [local-ai](), [object-detection](), [openclaw](), [quick-tips](), [raspberry-pi]() ### AI overview This article explains what Raspberry Pi devices can and cannot do with AI. They can run applications such as object detection, computer vision projects, lightweight AI agents, and some small language models, but limited computing power makes most modern LLMs slow or impractical locally. AI HAT and AI Camera products can improve computer vision workloads but do little for LLM execution. ### Source excerpt AI (artificial intelligence) is a buzzword that has been thrown around a lot these days, and the Raspberry Pi ecosystem is no exception. New use cases have been tested on it, and new products have even been released to accompany this phenomenon. So, what can your Raspberry Pi actually do with AI? A Raspberry Pi... ## Using local Gemma and Qwen models to triage OpenClaw issues and pull requests DevFeed: [Using local Gemma and Qwen models to triage OpenClaw issues and pull requests]() Original publisher: [Read original article]() Author: Onur Solmaz; ben burtenshaw; shaun smith Published: 2026-06-22T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [OpenClaw](), [Agent Harness](), [Open Source](), [Artificial Intelligence](), [gemma](), [qwen]() Tags: [agent](), [agent-harness](), [artificial-intelligence](), [free](), [gemma](), [guide](), [open-source](), [open-source-collab](), [openclaw](), [pull-requests](), [qwen](), [real-time]() ### AI overview The article describes using local Gemma and Qwen models in an agent harness to classify and triage issues and pull requests in the OpenClaw repository. It presents local execution as a way to support near-real-time notifications without relying on a paid hosted-model quota, using structured outputs and a finite label set. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Join the Security Summer School 2026: Prepare for the AI age DevFeed: [Join the Security Summer School 2026: Prepare for the AI age]() Original publisher: [Read original article]() Author: Roland Wolters Published: 2026-06-11T07:27:25Z Content type: article Language: en Sources: [Isovalent - The latest articles covering eBPF-based Networking, Observability, and Security]() Topics: [Security](), [Artificial Intelligence](), [Malware]() Tags: [2026](), [agents](), [ai](), [ai-security](), [malware](), [openclaw](), [security](), [voidlink]() ### AI overview An invitation to the Security Summer School 2026, which teaches participants to secure hosts, protect against malware, and contain AI agents. ### Source excerpt AI is re-shaping the IT landscape. Time to up your security skills and prepare to meet it! Join our Summer School and learn how to secure your host, protect against malware, and contain your AI agents. ## Encrypted reasoning fields in LLM APIs: a hobby project exploring signed thinking blocks DevFeed: [Encrypted reasoning fields in LLM APIs: a hobby project exploring signed thinking blocks]() Original publisher: [Read original article]() Author: Matthew Green Published: 2026-05-29T03:52:19Z Content type: opinion Language: en Sources: [Matthew Green]() Topics: [Large Language Model](), [API](), [Prompt Engineering](), [Claude](), [OpenClaw](), [Security](), [OpenAI]() Tags: [agent](), [agents](), [ai](), [api](), [attacks](), [chain-of-thought](), [claude](), [coding-agents](), [cryptography](), [frontier-llm-apis](), [llms](), [openai](), [openclaw](), [prompt](), [security]() ### AI overview This opinion article describes a hobby project investigating encrypted or signed reasoning fields exposed by LLM APIs. It discusses configuring an OpenClaw agent to use Claude, comparing Claude's Messages API with OpenAI's Responses API, and examining hidden chain-of-thought data. An August 11, 2026 update says European researchers developed a working attack inspired by the post. ### Source excerpt Update August 11, 2026: A group of researchers from all over Europe were inspired by this post, and actually turned it into a real working attack! Check out their writeup and paper here. This is a quick post I wanted to write about a hobby project I spent a weekend on. It has little to ... Continue reading Let's talk about encrypted reasoning -> ## From Co-Pilot to Full Automation: How Wix Is Embedding AI Agents Across an Engineering Org at Scale DevFeed: [From Co-Pilot to Full Automation: How Wix Is Embedding AI Agents Across an Engineering Org at Scale]() Original publisher: [Read original article]() Author: Wix Engineering Published: 2026-05-20T07:28:09Z Content type: article Language: en Sources: [Wix Engineering]() Topics: [ai-coding](), [agentic-coding](), [monorepo](), [Microservices](), [Claude](), [codex](), [cursor](), [GitHub Copilot](), [OpenClaw]() Tags: [agentic-coding](), [agents](), [ai](), [ai-coding](), [claude-code](), [codex](), [coding-agents](), [cursor](), [github-copilot](), [microservices](), [monorepo](), [openclaw]() ### AI overview Wix describes how agentic coding can be organized across an engineering organization with more than 2,500 microservices, thousands of engineers, strong service boundaries, and a large monorepo. The article presents a three-tier spectrum of cloud agents, coding agents or harnesses, and agents with computer access, identifying the harness tier as the practical sweet spot for software development as of 2025-2026. ### Source excerpt When you have over 2,500 microservices and thousands of engineers working across a massive multi-product platform, "just use AI coding tools" is not a strategy. It's a starting point - and not a particularly useful one. The question we kept coming back to at Wix wasn't whether to adopt AI in our engineering workflow. That ship had sailed. The question was: what does agentic coding actually look like when you have strong domain boundaries between services, a monorepo with years of... ## OpenClaw and Hermes Compared for Long-Running AI Agent Systems DevFeed: [OpenClaw and Hermes Compared for Long-Running AI Agent Systems]() Original publisher: [Read original article]() Author: hi@meedamian.com (Damian Mee) Published: 2026-05-20T00:00:00Z Content type: comparison Language: en Sources: [Damian Mee | Blog | Portfolio | About]() Topics: [Artificial Intelligence](), [hermes-agent](), [OpenClaw](), [Raspberry Pi]() Tags: [ai-agents](), [comparison](), [hermes-agent](), [openclaw]() ### AI overview This generated post compares the OpenClaw and Hermes autonomous AI-agent frameworks. It argues, based on the author's production experience including Raspberry Pi use, that Hermes is better suited to persistent context, extensibility, and long-running operational reliability. ### Source excerpt Disclaimer: This post was generated with Grok / Hermes Agent. Introduction In the rapidly evolving world of autonomous AI agents, two frameworks have emerged as strong contenders: OpenClaw and Hermes. Both aim to provide developers and power users with powerful, tool-using agents that can interact with codebases, terminals, browsers, and external services. However, after extensive hands-on experience running Hermes in production environments (including on resource-constrained hardware like Raspberry Pi), the differences become stark. ## How My Mac Mini Server Changes How I Work DevFeed: [How My Mac Mini Server Changes How I Work]() Original publisher: [Read original article]() Author: Eric Roby Published: 2026-05-19T13:01:33Z Content type: article Language: en Sources: [Eric Roby]() Topics: [Claude Code](), [Mac Mini](), [OpenClaw](), [coding](), [Hardware]() Tags: [claude-code](), [coding](), [hardware](), [mac-mini](), [openclaw](), [permissions]() ### AI overview The author describes using a Mac Mini as an always-on Claude Code server for scoped coding work, including opening pull requests and preparing a queue of work overnight. The article contrasts this setup with OpenClaw and emphasizes limiting the agent's permissions and scope. ### Source excerpt An always-on Claude Code server with its own identity, its own permissions, and a queue of work it finishes overnight. ## Malicious Coding Agent Skills and the Risk of Dynamic Context DevFeed: [Malicious Coding Agent Skills and the Risk of Dynamic Context]() Original publisher: [Read original article]() Author: Nick Frichette, Ryan Simon Published: 2026-05-11T00:00:00Z Content type: article Language: en Sources: [Datadog Security Labs]() Topics: [Agent Skills](), [Claude Code](), [prompt injection](), [AI-assisted coding](), [Shell](), [Command-line interface](), [GitHub Copilot](), [codex](), [cursor](), [OpenClaw]() Tags: [agent-skills](), [agents](), [attacks](), [claude-code](), [codex](), [command-line](), [cursor](), [network](), [openclaw](), [processes](), [prompt-injection](), [skills](), [supply-chain]() ### AI overview This article examines how malicious Claude Code skills can introduce attacker-controlled instructions into trusted coding-agent sessions. It focuses on dynamic context commands, which execute before the model sees the skill and can therefore bypass model-level prompt-injection defenses, creating supply-chain risks such as credential theft, arbitrary code execution, and data exfiltration. ### Source excerpt Learn how malicious Claude Code skills can abuse dynamic context commands to execute before model-level prompt injection defenses can intervene. ## Introducing the OSSCAR Index DevFeed: [Introducing the OSSCAR Index]() Original publisher: [Read original article]() Author: Prashant Sridharan Published: 2026-04-28T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Open Source](), [data](), [Code](), [OpenClaw]() Tags: [2026](), [agent](), [code](), [data](), [open-source](), [openclaw](), [ranking]() ### AI overview The OSSCAR Index is a quarterly ranking of the fastest-growing open source organizations, using transparent and reproducible measurements. Its first edition covers Q1 2026, and the site, data, and scoring code are open source. ### Source excerpt Announcing the OSSCAR Index: a quarterly ranking of the fastest-growing open source organizations. The site, the data, and the scoring code are all open source. [Next page]()