Archived Project Writeup

OpenClaw / AI Workflow Lab

Status: Closed / Archived

A private AI assistant and automation lab focused on OpenClaw deployment testing, model provider configuration, gateway behavior, browser workflows, and safe automation guardrails.

Project Goal

The goal of this project was to explore whether OpenClaw could serve as a private AI assistant and workflow automation base for technical research, documentation, controlled browser tasks, and future scheduled actions.

The project was intentionally designed as a private lab rather than a public-facing or uncontrolled bot. The focus was on safe assistant behavior, controlled access, and practical troubleshooting.

This project is no longer hosted on Proxmox or a VPS. It was closed due to funding constraints, provider limitations, and the decision not to leave an unfinished automation stack running.

Environment Summary

Deployment Testing

Tested OpenClaw in a Linux VPS environment using SSH, local configuration files, gateway behavior, and controlled service access.

Model Provider Work

Worked through model provider configuration, Codex-focused provider profiles, authentication behavior, and context-size limitations.

Automation Concepts

Explored future support for scheduled actions, memory, Telegram-based interaction, browser workflows, and controlled external automation.

Project Closure

Archived the project after determining that funding requirements and service-side limitations made continued hosting impractical.

Architecture Tested

Private User Access | v Ubuntu VPS Test Environment | +-- OpenClaw Configuration +-- Local Gateway Mode +-- Controlled Access +-- Model Provider Profiles +-- Workspace Directory | +-- Optional Workflow Components +-- Browser Support +-- Memory Hooks +-- Telegram Bot Testing +-- Future Scheduled Actions

Technologies and Concepts Used

OpenClaw Ubuntu VPS Linux Administration SSH Gateway Configuration Controlled Authentication Model Provider Setup OpenAI Codex Testing Browser Workflow Testing Telegram Bot Testing Memory Hooks Workspace Management Troubleshooting Project Documentation

What I Built and Tested

Built and troubleshot a VPS-hosted OpenClaw AI agent environment.
Configured OpenClaw state and workspace directories for a private assistant workflow.
Tested local gateway behavior, service access, and controlled authentication.
Worked through model provider setup and Codex-focused provider configuration.
Explored Telegram bot integration as a controlled private interaction channel.
Tested browser workflow concepts using headless Linux tooling and remote access approaches.
Explored memory hooks and future scheduled-action concepts.
Created backups before risky changes and tested rollback after configuration problems.
Documented issues with configuration parsing, version compatibility, provider behavior, and upstream service blocking.

Problems Diagnosed

JSON and JSON5 configuration parsing failures that prevented clean startup.
Version compatibility issues between OpenClaw releases and existing configuration files.
Terminal UI and session behavior problems during remote operation.
Model context-size limitations when large chat history or oversized requests were passed through the toolchain.
OAuth, API provider, and CLI authentication behavior across different model providers.
Local bridge and browser automation errors in a VPS environment.
Provider-side blocking and unusual activity detection that could not be solved purely with more VPS resources.

Security and Guardrails

The project was treated as a private assistant lab, not a public bot.
External automation concepts were approached with strict control and human oversight.
Private access details, private configuration, workspace paths, and service details are not published.
Rollback planning and configuration backups were used before risky troubleshooting steps.
The project was shut down instead of leaving an incomplete automation environment exposed or unmanaged.

Operational Value

Even though the project was closed, it provided practical experience with Linux VPS administration, AI tooling, authentication workflows, configuration troubleshooting, service rollback, and the realities of running automation tools under budget and provider constraints.

The value of the project was not only in what ran successfully, but in learning when a system should be stopped, documented, and archived rather than forced into production without stable funding or reliable provider behavior.

What This Demonstrates

This project demonstrates AI workflow experimentation, Linux troubleshooting, service configuration, provider integration testing, risk awareness, rollback planning, and honest project lifecycle management. It also shows the ability to evaluate technical feasibility instead of treating every lab experiment as production-ready.

Project Status

Closed and archived. OpenClaw is no longer hosted on my Proxmox environment or on a VPS. The project remains documented as a technical case study in AI-assisted workflow testing, service troubleshooting, and infrastructure decision-making.