Self-hosted AI agent development

Self-Hosted AI Agent Developer in the Philippines

I build AI agents on client-controlled infrastructure when ownership, data boundaries, auditability, and deployment portability matter more than a fully managed black box.

1,346ClawBridge Codex commits at the July 2026 site update
36Repository tags documenting an actively versioned project
86%TypeScript codebase for the public agent platform
12+Supported communication and work channels

What self-hosted means

Self-hosted does not mean every model runs locally. It means the orchestration layer, configuration, data path, logs, workspaces, and integrations run on infrastructure the client controls. Model APIs may still be external when they are the right technical choice.

Typical architecture

  • A host process receives messages and owns credentials
  • Per-session or per-agent containers isolate execution
  • Only approved workspaces and context are mounted
  • Memory and databases remain behind the host boundary
  • Health checks, logs, backups, and restart policies support operation

Security boundaries

Container isolation is one layer, not a complete security promise. A production design also needs scoped mounts, network policy, secret handling, permission review, input validation, tool allowlists, logging, updates, and an incident path.

Deployment options

Depending on workload and access requirements, systems can run on a Linux VPS, a dedicated server, or local hardware such as a Mac mini. The choice should follow data sensitivity, uptime, channel connectivity, and maintenance capacity.

Engineering services

Choose the system, not just the keyword.

Each service page describes a distinct delivery scope with public project evidence, technical boundaries, and a clear handoff path.

Operations

AI Automation Engineer

Workflow automation across CRM, email, calendars, reporting, lead response, and business APIs.

Explore AI automation →
Infrastructure

Self-Hosted AI Agent Developer

Client-owned runtimes with Docker isolation, host-side secrets, storage, and monitoring.

Explore self-hosted AI →
Remote delivery

Remote AI Engineer

Project-based AI agent and automation delivery for distributed teams worldwide.

Explore remote delivery →
Evidence

ClawBridge Codex

Review the architecture and public repository behind Mark’s self-hosted agent work.

Review the case study →

Available for remote builds

Bring me the workflow that keeps falling back to manual work.

I’ll help identify whether it needs an AI agent, deterministic automation, an OpenClaw deployment, a custom integration, or a simpler system.

Email Mark Carmona →