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PStack Deep Dive (Part 2): Two Agents, Five Special Designs, and How It Actually Lands
The executors of pstack: poteto-agent, comment-sicko, the benny automation, five special designs, and notes on landing it in OpenClaw and DeepSeek Harness.
The AI Coding Tools Map: Recognize the Form Factor First, Memorize Names Later
Cursor, Trae, Claude Code, Codex, OpenClaw, Hermes Agent, DeepSeek Harness, WorkBuddy and Doubao Work sorted into three categories by form factor: IDE-embedded, terminal agent, and orchestration platform. For each category: what it gives you, how much control and visibility it takes away, and how people actually mix them in practice — so you can decide which category your first tool should come from.
What OpenClaw Is: An Open-Source Assistant That Runs on Your Own Machine and Lives in Your Chat Apps
OpenClaw is an open-source AI assistant framework: the body runs on your own machine and appears through one Gateway in twenty-odd chat channels at once — WhatsApp, Telegram, Slack, Discord and more. One article covering its three-part architecture, the Skills ecosystem, its "models are swappable" philosophy, and the safety responsibilities you must read before using it.
The First Ten Minutes After Installing an Agent Tool: A Seven-Item Verification Checklist
Just installed Cursor, Claude Code, Codex, OpenClaw, Hermes, or any AI Agent tool? Don't assign work yet. Spend ten minutes on seven verifications: it runs, it reaches the model, it reads files, it writes files, permission boundaries, one real task, and where the logs are. Tool-agnostic.
OpenClaw Installation Guide: One Command to Your Own AI Agent Gateway
Step-by-step installation of the open-source agent framework OpenClaw: the official install script, the first-run setup wizard, installing the Gateway as a background service, opening the web console, and verifying the installation with your first message — plus fixes for the common PATH and npm errors.
Deep Research on Prime Agent: PrimeIntellect's Self-Improving RLM Agent and Our Field Test
A complete breakdown of Prime Agent, the self-improving Agent framework open-sourced by Prime Intellect in August 2026: the dual abstractions of RLM + Continual Harness, surpassing the human baseline on ARC-AGI-3, an architecture comparison with OpenClaw infrastructure, and a complete field test record of connecting it to our own API relay layer on a Mac Studio.
YC Open-Sources QM: Source-Level Teardown of the 'Whole-Company Agent Operating System' That Hit 12K Stars in 7 Days, with More Security Code Than Model Loops
On July 31, 2026, Y Combinator open-sourced its internal Agent system QM (Quartermaster). Clone test: 241K lines of TypeScript, 379 test files, 4 interchangeable harnesses (Pi/OpenCode/Codex/Claude Code), egress proxy re-resolves DNS for each request, three-person gate 'a wall, not a hole', npm supply chain 7-day cooldown period: complete source-level dissection
SkillOpt Deep Technical Breakdown: Training Agent Skill as a Neural Network
A complete source-code-level analysis of the SkillOpt framework published by Microsoft Research. Starting from 18 Deep Learning analogies, it deeply breaks down the six-stage training loop (Rollout→Reflect→Aggregate→Select→Update→Gate), the SkillOpt-Sleep deployment engine, OpenClaw integration in practice, and the 52/52 all-win experimental results.
Technical Argument for the OpenClaw Loop Engineering Refactor: A Complete Plan from Prompt-Driven to Architecturally Enforced
Based on source-level analysis of 14 AI Agent architectures and a production environment field audit, this proposes 8 hypotheses for refactoring the OpenClaw system, a comparison of technology options across 8 architecture nodes, and a complete refactor roadmap.
Loop Engineering: A Deep Retrospective on a Field Failure, When the Design Documents Cannot Be Executed
A complete failure log from building a Loop Engineering system from scratch: we designed a perfect architecture, 36 files, and 10 cron jobs, but not a single line of code ever actually ran the inner loop.
Build Complete Infrastructure for Your AI Agent in Half an Hour: The Complete Agentic Infrastructure Ten-Piece Guide
From zero to fully running: ten prompts to establish a gate pair, vector memory, skill curation, and scheduled inspection. Solves the skill-skipping problem caused by LLM confidence bias, so your Agent never loses its memory again.
Agentic Infrastructure: A Seven-Layer Architecture Defining How AI Agents Should Exist
From "skills that cannot be triggered" to "how an Agent should evolve itself": seven open-source skills, seven layers of architecture, one complete system of Agent self-awareness. Based on a field audit of 125 skills and 6 months of iteration through pitfalls.
Skill Curator: When Your Agent Has 125 Skills but Only 64 Survived
A practical record of skill curation: the fully automated process from 'never adapt after download' to '99.2% health'. Six-stage full lifecycle management, three-layer diagnostics, six-language auto-injection, and scenario generation.
Skill Reporting: Breaking the AI Agent Black Box with One Line of Text - The Design Philosophy and Practice of Institutional Skills
Agent replied to you, but you have no idea which skills it used, what process it followed, or where the data came from. Every reply feels like a black box. Transparency is the third-largest barrier to enterprise adoption of AI Agents (Deloitte 2026). Skill Reporting breaks the black box with one line of text: no code required, just add one permanent rule to RULES.md. This article deeply analyzes the design philosophy, real-world effects, and indirect impacts of institutional skills.
200+ Skills, One Router: Engineering Practice of Agent Skill Routing
After installing 200+ skills, does the AI Agent actually get dumber? How category-by-stage matrix routing raises skill discovery from 35% to 90%, reduces incorrect tool usage by 80%, and lets any task automatically match the right skill combination.
Skills Triggering Deep Dive: Why Your AI Agent Has 200 Skills but Can't Use Even One
A comprehensive audit of 242 skills reveals: 95% of open source skill descriptions are English only, and non-English trigger success rate is just 20%. How a three-layer keyword strategy raised skill discovery rate from 35% to 90% by changing just one line.
Subagent Isolation Architecture: Reliability Lessons for AI Financial Applications, From the our HK research pipeline Data Contamination Incident to the Clean Context Design Pattern, A Complete Journey
While analyzing Stock A and Stock B back to back, Stock A's property-fund holding (carrying value HK$368 million, impairment HK$154 million — both teaching assumptions) leaked into the Stock B report. Stock B's business is consumer-goods trading and money lending; it holds no such fund at all. This is not a hallucination — it is a systemic context-contamination problem.
A Complete Tutorial for Matt Pocock Skills: The 115K Star AI Coding Engineering Discipline System, a Full Walkthrough of 15 Skills from Installation to Practice
mattpocock/skills: 35 Agent Skills released by TypeScript legend Matt Pocock from his own .claude directory, with 115K+ Stars, 2.7M+ installs, and 60K newsletter subscribers. This is not vibe coding; it is an AI coding discipline system condensing decades of software engineering experience.
A Comprehensive Classification Matrix for the OpenClaw Skill Library: 227 Skills × Four Categories × a Full Business-Process Map
A complete classification matrix of the 227 installed skills in our OpenClaw system. Reorganized into four categories: everyday core tools, finance-related, coding-related, and other, with each category further arranged into 10 business stages. Includes skill usage analysis, overlap detection, and trimming recommendations.
Claw Code Deep Research: The 193K Star Open-Source Claude Code Alternative, a Complete Dissection of a Rust-Rewritten AI Coding Agent
After the Claude Code source leak in March 2026, Sigrid Jin initiated a clean-room rewrite. 193K+ Stars within 2 days. 10 Rust crates, 60+ slash commands, full MCP protocol, autonomous recovery, Hook lifecycle. A complete source-level dissection + item-by-item comparison with the OpenClaw tech stack + 7 borrowable design patterns.
Deep Research on oh-my-pi (omp): An Open-Source Terminal AI Coding Agent with 620K Lines of Code, a Full-Stack Dissection of 40+ Model Providers
can1357/oh-my-pi: forked from Mario Zechner's Pi, with 9K+ Stars, 333+ releases, and 150+ contributors. 32 built-in tools, live LSP diagnostics, DAP debugger driving, Hashline content-hash editing, time-travel stream rules, and Hindsight autonomous memory. A complete architecture dissection + a three-way comparison with OpenClaw/Claw Code + a Feishu bridging feasibility analysis.
GitHub Trending May W4: A Deep Dissection of 14 Trending Projects
A complete analysis of the GitHub Trending list for May 18-24, 2026: from personal AI superintelligence to WiFi spatial sensing, from code knowledge graphs to turning everything into a CLI, covering the technical architecture, business value, and field assessment of 14 trending projects.
MemoryHub v2.0 System Architecture In-Depth Analysis: From Capture Daemon to MCP Real-Time Memory Capture
A complete breakdown of MemoryHub v2.0's dual-mode capture engine, Qdrant vector storage, MCP four-platform integration, Dashboard real-time monitoring, three-layer deduplication, and ten-year lifecycle design.
MemoryHub Practical Installation and Complete Usage Guide: From Zero to Four Platform Automatic Memory Capture
A step by step guide to installing MemoryHub v2.0: from Docker environment preparation, one click pip installation, four platform MCP configuration, Dashboard usage tips, to the complete process of daily maintenance and troubleshooting.
agentmemory Full Feature Deployment Log: From GitHub Trending to Four Platform Automatic Memory Capture
A complete record of the deep research into agentmemory (13K stars), full feature deployment, OMLX LLM integration, Qdrant dual memory sync, and automatic memory capture configuration for four major platforms: OpenClaw, Claude Code, Hermes, and DeepSeek TUI.
Complete Guide to 14 Financial Services AI Skills: From Deal Sourcing and M&A Models to Catalyst Calendars
A complete introduction to the 14 OpenClaw financial skills derived from Anthropic Claude for Financial Services, covering three major areas: investment banking (7), private equity (6), and equity research (1), including each skill's command meanings, use cases, and hands-on tutorials.
Ten-Day Pitfall Log: 16 Fatal Lessons in Building an AI Assistant System
Over the past 10 days, our AI assistant evolved from a conversational bot into a system-level AI assistant. This is the complete pitfall record: 16 pitfalls, 5 root cause patterns, 12 mandatory rules, and the meta-principles for system building distilled from them.
Cross-Channel Memory Hub: A Full Record of the Memory System Architecture Design for OpenClaw Agent
From daily forgetting to automatic cross-channel integration: a complete record of the architectural evolution of our AI assistant memory system, Session isolation issues, time zone boundary bugs, the three-layer protection mechanism, and the Cron automation integration pipeline.
OpenClaw Creator and Infrastructure Automation: From Full Podcast Workflow to Self-Healing Servers
An in-depth breakdown of the creative tools in Awesome OpenClaw Use Cases (Podcast, YouTube, AI video editing, game development) and infrastructure DevOps solutions (self-healing servers, n8n orchestration), with complete workflow architecture diagrams.
OpenClaw Productivity Revolution: 22 Automation Solutions Reshaping Daily Workflows
From Personal CRM to Second Brain, from multi-channel customer service to autonomous project management, a deep dive into the 22 most practical productivity automation solutions in Awesome OpenClaw Use Cases, with architecture analysis and practical recommendations.
The Complete OpenClaw Real-World Use Case Collection: A Deep Dive into the 30.9k Star Community Treasure
A deep analysis of the hottest OpenClaw ecosystem project on GitHub: 42+ battle-tested real-world use cases spanning six domains: social media, creation, infrastructure, productivity, research, and finance. Not "imagine if", but "already running".
Complete Comparison of 15 Native Search Engines: In-Depth Analysis from Indexing Mechanisms to Application Scenarios
A comprehensive review of 15 native search engines supported by OpenClaw: indexing sources, API pricing, latency, Chinese language support, stability, and the best choice for each scenario.
From Zero to Launch: Agentics Website Development Retrospective and Key Lessons
A complete development retrospective on building a Next.js knowledge platform from scratch with AI Agents (our AI assistant + Claude Code): architecture design, pitfalls, key decisions, and best practices for AI-assisted development.
In-Depth Analysis of Addy Osmani's agent-skills Open Source Project
A complete introduction to Google Chrome Engineering Director Addy Osmani's agent-skills project: the design philosophy behind 21 AI-assisted development skills, real-world applications, and how it inspired the upgrade of our slash command system.
Agent Framework Capability Matrix: Hermes → OpenClaw → Claude Code Full Capability Overview
One matrix to understand the full capability distribution of the three-layer Agent framework: search API, LLM backend, MCP protocol, skill system, role division, communication channels.
Financial Data API Research: Injecting Market Data Capabilities into Agent Frameworks
Research on financial data APIs suitable for Agent frameworks: Hong Kong stocks, US stocks, macroeconomic data, with plans to integrate financial data analysis capabilities into OpenClaw.
Cross-layer Configuration of Tavily Search API in Agent Frameworks
Configuration methods and usage scenarios for the Tavily AI Search API across three frameworks: Hermes Agent, OpenClaw, and Claude Code.
The Role and Configuration of the MCP Protocol in a Three-Layer Agent Framework
The respective roles and configuration of the Model Context Protocol in Hermes Agent (not supported), OpenClaw (orchestration layer), and Claude Code (execution layer).
Complete Guide to the Slash Command System
From trigger points to real-world use: an in-depth look at the design philosophy behind 30+ slash commands, the reasons they were created, practical scenarios, and how to use this system to greatly boost work efficiency.
Three-Layer Framework LLM API Configuration Summary: DS V4 Pro, Qwen 3.6, oMLX Local
A complete guide to configuring DeepSeek V4 Pro, Qwen 3.6-Plus, and oMLX local Qwen3 Coder Next across Hermes Agent, OpenClaw, and Claude Code.
Three-Layer Agent Collaboration Framework: Hermes → OpenClaw → Claude Code Architecture Explained
An in-depth analysis of a three-layer AI Agent collaboration architecture built on Hermes Agent, OpenClaw, and Claude Code: the responsibilities of each layer, the communication mechanism, and why it is designed this way.