90 days. 3 agents. 1 mission: build, deploy, and ship production software — autonomously. Here's what we unlocked at each stage.
It started with a single AI agent in a terminal. Claude Code on a VPS. It could read files, write code, run commands. But it had no memory. No persistence. Every session was a blank slate. We needed to teach it who it was.
A markdown file that defines who the agent is, what it can do, and what it must never do. Loaded at every session start. The agent's constitution.
Agents write what they learn to a memory file. Next session, they read it first. Context survives reboots. No more blank slates.
Full shell access. Create files, install packages, configure servers, run builds. The agent operates the machine like a senior engineer.
Ed25519 keys only. No passwords. Fail2ban. UFW firewall. The agent secured its own infrastructure before we asked it to.
Raw terminal access wasn't enough. We plugged into the Model Context Protocol — the universal standard for AI-tool communication. Now the agent could talk to databases, browsers, git repos, and external APIs through a standardised interface.
Model Context Protocol — the USB-C of AI. One standard protocol connecting agents to any tool: filesystems, databases, browsers, APIs.
Reusable skill modules (SKILL.md) with YAML frontmatter. Progressive disclosure: metadata → instructions → full context. 17 skills deployed.
PreToolUse, PostToolUse, Stop hooks. Gate dangerous actions, log everything, enforce policies. The agent's immune system.
OpenClaw's native protocol for agent orchestration. Device pairing, challenge-response auth, gateway routing, session management.
One agent was powerful. Three agents changed everything. A Guardian that monitors and deploys. An Intelligence that codes and builds. A Grace that designs and tests. Each with its own identity, memory, and model — but sharing one mission.
Always-on orchestrator. Receives instructions via Telegram. Decomposes tasks. Routes to the right agent. Monitors health 24/7. Ships to production.
The builder. Claude Code with full filesystem access. Writes APIs, frontends, scripts. Commits to git. Creates PRs. Debugs production issues.
The artisan. Runs on-demand on laptops. Mobile builds (iOS + Android). Browser testing. UI/UX refinement. Cross-platform validation.
Agents discover each other's capabilities, delegate tasks, and track cross-agent work. Standard inter-agent communication protocol.
Agents needed to learn from the past without re-reading everything. We built a modular knowledge system — 6 knowledge modules compiled into agent context. RAG for retrieval. Embeddings for search. The agents became domain experts overnight.
6 structured modules: identity, security patterns, infrastructure, distillation strategies, operational history, agent lifecycle. Compiled at boot.
Retrieval-Augmented Generation. Agents search their knowledge base before answering. No hallucination on known topics. Grounded responses.
30+ hours of continuous operation without losing context. Server-side summarisation of old turns. The agent never forgets what matters.
Every architectural decision, model choice, and cost trade-off is logged. Full audit trail. The agent can explain why it did what it did.
Not every task needs a $75/M-token model. We built a 3-tier routing system: fast models for simple tasks, balanced models for coding, deep models for architecture. Budget enforcement triggers automatic downgrades. API costs dropped 60%.
Fast (Haiku): status, health, lookups. Everyday (Sonnet): coding, debugging. Deep (Opus): architecture, strategy. Auto-selected per task.
Daily budget cap with automatic downgrade at 80% threshold. Per-agent cost ceilings. Fallback to local models (Ollama) when budget exhausted.
Ollama runs on VPS with custom-tuned models. When cloud APIs are expensive or slow, agents fall back to local inference. Zero cost for routine tasks.
OpenRouter as universal gateway. Anthropic, OpenAI, Google, Meta — route to the best model for each task. Never locked to one provider.
The final form. Agents don't just write code — they containerise it, deploy it, configure SSL, set up domains, monitor uptime, and auto-heal when things break. A message on Telegram becomes a live product with a payment link. Autonomously.
Every app is containerised. PostgreSQL, Redis, n8n, APIs — all orchestrated via Docker Compose. Reproducible deployments, zero "works on my machine".
GitHub Actions: lint, test, security review (by Claude), Docker build, auto-deploy on merge. Every push is validated. Every deploy is tracked.
Runs every 5 minutes. Checks all services. Restarts what's down. Fixes misconfigurations. Kills zombie processes. Reports issues to the owner.
Visual workflow engine. Git push triggers deploy. Payment triggers onboarding. Alert triggers incident response. No code needed for automation.
Let's Encrypt auto-renewal. HSTS, CSP, X-Frame. Every subdomain secured. Every API endpoint hardened. Security isn't optional — it's default.
Website contact forms → API → database → Telegram notification. Every lead tracked. Every interaction logged. Ready for n8n-powered follow-ups.
This isn't a demo. This is a production system that builds, deploys, and earns — 24/7. We're looking for founders, builders, and operators who want to harness the same infrastructure.
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