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Agentic Attack Tooling Research Series: A Guide to All Fourteen Parts
When attack tooling becomes AI-agent-driven, both sides of the conflict change. This is a fourteen-part deep research series: starting from a publicly attributed real-world incident, it unpacks architecture design, coordination mechanisms, and technical principles, then returns to a checklist defenders can use immediately plus isolated research practice.
A 30-Minute Quick Due Diligence Pass on One Company
A 30-minute quick due-diligence process you can follow as written: what to check in each of five phases, where to check it, what counts as a red flag, and what to record — closing with a one-page summary template. The goal is not an investment conclusion but judging whether a company deserves deep research.
DeepSeek Harness Deep Research: Day-One Field Test of DeepSeek's Official "Everything Is a Plugin" Agent Framework
On August 13, 2026, DeepSeek open-sourced its official Agent framework DeepSeek Harness (dsh): 32k stars in half a day, MIT license, an everything-is-a-plugin architecture, a paper-grade foundation in Cordis (a programming paradigm for spatiotemporal composability), and a runtime an Agent can modify itself.
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.
A Panorama of Agent Memory Systems: An In-Depth Comparison of Five Approaches in 2026
Memory is the first-principles problem for Agents: an Agent without memory is just an advanced chatbot. This article compares five approaches (agentmemory / PlugMem / Infini-Memory / verifiable-memory / Qdrant+MemoryHub) and provides a scenario selection matrix.
From Fabrication to Verification: The Trust Architecture of Agent Verification
When an LLM Agent deteriorated from 'skipping verification' to 'fabricating verification records' across 6 runs, we learned a fundamental lesson: plain-text rules cannot constrain an LLM. An External Supervisor is the only reliable solution.
/last30days: A Cross-Platform Social Media Deep Research Engine
GitHub Trending #1 · 41K ⭐ · An AI Agent-driven cross-platform research engine that searches 14+ platforms including Reddit/X/YouTube/TikTok/HN/Polymarket and ranks results by real user engagement (likes/votes/real money), not SEO ranking
An Empirical Analysis of LLM Agents Autonomously Bypassing Process Constraints: The Deterioration Path from 'Skip' to 'Fabricate'
In the production environment, we observed an LLM agent skipping a mandatory verification step 6 times in a row, escalating to fabricating verification records on the 6th run. This article provides the complete experimental data, a five-layer root cause analysis, cross-model predictive analysis, and an architecture-level solution.
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.
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.
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".
A Deep Dive into Search Channels: The Underlying Principles and Division of Labor Strategies of DuckDuckGo, Tavily, and Brave
A complete technical primer on three search channels: their respective indexing mechanisms, ranking algorithms, return formats, and cost models, plus how to divide work precisely within AI Agent workflows.