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From August 18 through August 24, I merged 114 pull requests across six Escoffier Labs repositories. 103 landed in Brigade.
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Brigade 0.26.0 and 0.26.1 shipped in four days.
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Brigade 0.26.0 remains gated while fresh checks close quiet failure modes.
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This week I folded GraphTrail's Rust code graph, MiseLedger's Go evidence ledger, and agent-notify into Brigade, turning three repositories into one product without flattening the engines underneath.
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Two real failures from six months of running an always-on agent memory system: a nightly job that silently truncated the agent's memory index for weeks, and 195 handoff notes nobody was reading.
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Two failure classes in five days: a merge queue correctness bug that mutated default branches and an Elasticsearch overload that emptied PR lists.
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Anthropic's April 23 postmortem says the recent Claude Code quality slump was not a model regression.
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GPT-5.5 is less interesting as a chatbot upgrade than as OpenAI's bet on Codex, computer use, long-running tool work, and enterprise agents.
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Anthropic cut off third-party harness subscription coverage, Claude CLI reuse turned into a classifier mess, and a lot of OpenClaw users walked away.
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I ran OpenClaw Dreaming for a full week on top of my existing memory stack.
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OpenAI and Anthropic are not just shipping cyber-capable models.
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Anthropic says Mythos can autonomously find and exploit serious software flaws across major operating systems and browsers.
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North Korean actors backdoored the Axios npm package on March 31.
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Anthropic's Claude Code source leak exposed far more than implementation details.
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How I replaced SCCM with FOG Project for 72 lab workstations, fought Debian Trixie installer bugs, fixed PXE boot on newer hardware, and built a repeatable Windows 11 imaging pipeline.
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Most threat intel workflows still force you through too many screens for one simple IOC question.
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A practical look at the memory architecture I use in OpenClaw, what was already working, where it was weak, and the config changes that made long sessions much more reliable.
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What I learned building MCP servers for Wazuh, Suricata, Zeek, TheHive, MISP, and more.
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Why single-thread messengers like Telegram and Signal are holding back your OpenClaw setup, and how Discord's channel model fixes context contamination, cron confusion, and project sprawl.
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How I built a local-first semantic code search API using FastAPI, SQLite, and Ollama embeddings to make retrieval fast, free, and private.
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I tried to use GPT 5.3 Codex to summarize 70,000 code chunks.
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My AI orchestrator couldn't see its own subagent's results.
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Domain controllers, file servers, network monitoring, imaging, WiFi controllers.
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How I built a system prompt injection hook that forces my AI agent to check local APIs before burning cloud tokens, then iterated through three coder models to find one that actually works.
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Why AGENTS.md instructions fail when AI agents can bypass them.
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The real story of building an AI agent memory system.
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A current OpenClaw multi-model setup using the Codex harness on GPT-5.6 as the main lane, focused harness subagents, Ollama for embeddings, Ollama Cloud for cheap offload, a Cursor subscription overflow lane, Grok / xAI as an optional provider tier, OpenC…
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Your AI agent has access to your email, calendar, and files.
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A complete, battle-tested guide to running OpenClaw on Windows via WSL2.
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A fiber cut at 2 PM exposed gaps in our network monitoring.
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How I designed and deployed a full open-source SOC with Wazuh, TheHive, Cortex, MISP, Zeek, and Suricata for a network engineering lab, plus the integration work that made it usable.
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Broadcom's per-core licensing made a working VMware cluster financially indefensible.
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What NDG's 18-hour Proxmox VE 8 workshop actually taught me about storage, clustering, NETLAB+, Windows 11, backups, and building an academic lab environment that survives real use.
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Building a structured analysis tool for intelligence work.
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Building an automated threat intelligence tool that delivers BLUF briefings with MITRE ATT&CK mapping, IOC extraction, and multi-source aggregation.
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Building an incident response playbook generator that creates NIST-aligned, role-specific runbooks.