Le Répertoire
How one engineer runs a 24/7 multi-agent AI stack across bare metal. Opinionated. Dogfooded. Broken-and-fixed in production.
Solomon's Cookbook: 66 production-tested recipes for running long-lived AI agents in tandem with daily coding harnesses. Not a framework. A record of what is actually deployed, what broke, and how it was fixed.
Cron Patterns
The scheduling stack I actually run: systemd timers for OS plumbing, crontab lines that fire reviewed Brigade runbooks, OpenClaw cron for agent tasks, and a small n8n for watchdogs. Pick the wrong…
Updated 2026-11-02 I · AI agent stackMulti-Model Orchestration
How to run multiple AI models in one OpenClaw setup, assign each to the right task tier, and stop burning expensive tokens on work that doesn't need them.
Updated 2026-11-02 IV · SecuritySecurity Hardening: Linux Host for OpenClaw
Practical hardening runbook for an Ubuntu 24.04 machine running OpenClaw as an always-on AI agent. This covers firewall configuration, SSH lockdown, fail2ban, and service binding to reduce attack…
Updated 2026-10-17 III · Self-hosted infrastructureBackup & Recovery
How to protect your OpenClaw workspace, configuration, and memory from data loss. Encrypted backups, restore testing, and disaster recovery planning.
Updated 2026-11-02Running Claude Code in OpenClaw via ACP
In April 2026, Anthropic stopped accepting subscription OAuth from third-party harnesses. The anthropic:claude-cli backend that many OpenClaw users had plugged a Max subscription into stopped working…
Updated 2026-11-02 I · AI agent stackMigrating from claude-cli to ACP
How to move Claude off the main-agent slot and onto an ACP escalation path after Anthropic blocked subscription OAuth from third-party harnesses in April 2026, and what the claude-cli runtime looks…
Updated 2026-11-02 I · AI agent stackCompaction & Context Tuning
How to configure OpenClaw's compaction, memory flush, context pruning, and session search so your agent doesn't lose its mind (or personality) during long sessions.
Updated 2026-11-02 I · AI agent stackOrchestrating with GPT 6.1 Sol: Execution Contract, Narration Guards, and Silent Loops
Running a Codex-subscription model as your main orchestrator is cheap and fast compared to frontier API billing, but it has specific failure modes that eat hours until you know to guard against them.…
Updated 2026-11-02AI agent stack
Multi-model orchestration. One orchestrator, many models, escalation lanes, and a multi-vendor worker fleet behind it. Most of these guides assume OpenClaw as the agent framework, but the patterns…
16 recipes Chapter IIAutomation
Anything scheduled, hooked, or sandbox-wrapped. The decision tree for "where does this go" lives in cron-patterns.md - start there.
8 recipes Chapter IIISelf-hosted infrastructure
The homelab. Hypervisor decisions, container layout, network storage, off-host backup, integration with daily-driver desktop, and surviving upgrades.
10 recipes Chapter IVSecurity
Defense in depth across host, agents, network, and outbound boundary. Plus what to do when the agent does something it shouldn't.
8 recipes Chapter VKnowledge management
How durable knowledge flows: cards, indexes, handoffs, sync. The goal is "future-me can pick up cold."
7 recipes Chapter VIHardware & host
The physical layer. Choosing the box, partitioning the disk, deciding what the host OS owns vs what gets virtualized.
3 recipes Chapter VIITools
Index of tools shipped from this stack - MCPs, dashboards, helpers - and how they fit together.
8 recipes Chapter VIIIPublishing
Reserved for docs about sanitizing and validating artifacts before they leave the host.
2 recipes Chapter IXPhilosophy
The opinions. Why this stack is shaped the way it is. What I will not do. Why this body of work is a cookbook and not a tool.
4 recipes