Run an autonomous employee-like agent for company tasks
This is interesting. Task: This is interesting. I haven't used OpenClaw but I set up my own autonomous agent using Codex + ChatGPT Plus + systemd + normal UNIX email and user account infrastructure. And it's been working great! I'm very happy with it. It's been doing all kinds of tasks for me, effectively as an employee of my company.I haven't seen any issues with memory so far. Using one long rolling context window, a diary and a markdown wiki folder seems sufficient to have it do stuff well. It's early days still and I might still encounter issues as I demand more, but I might just create a second or third bot and treat them as 'specialists' as I would with employees.; tools: Codex, ChatGPT. Human role: The original post does not say how a person stayed involved.; limitations: The setup relies on the author's specific UNIX infrastructure and email-based interaction model, which may not suit all workflows. The author notes the agent is 'kinda slow' and requires proper written instructions. There is no mention of formal security audits or cost analysis for the API usage..
Tools
Published on Agent Work Atlas:
Overview
This is interesting.
Workflow
This is interesting. I haven't used OpenClaw but I set up my own autonomous agent using Codex + ChatGPT Plus + systemd + normal UNIX email and user account infrastructure. And it's been working great! I'm very happy with it. It's been doing all kinds of tasks for me, effectively as an employee of my company.I haven't seen any issues with memory so far. Using one long rolling context window, a diary and a markdown wiki folder seems sufficient to have it do stuff well. It's early days still and I might still encounter issues as I demand more, but I might just create a second or third bot and treat them as 'specialists' as I would with employees.
Reported result
The author reports the agent is 'working great' and 'very happy' with its performance, noting no memory issues so far. However, no quantitative metrics or specific success rates are provided. The author acknowledges it is 'early days' and potential issues may arise as demands increase.
Human role
The original post does not say how a person stayed involved.
Limitations
The setup relies on the author's specific UNIX infrastructure and email-based interaction model, which may not suit all workflows. The author notes the agent is 'kinda slow' and requires proper written instructions. There is no mention of formal security audits or cost analysis for the API usage.
Try it
I want to replicate the autonomous agent workflow described by mike_hearn. I have access to Codex, ChatGPT Plus, and a UNIX environment with systemd and email capabilities. My goal is to set up an agent that can handle [replaceable: specific business tasks, e.g., bug triage or report generation]. Please guide me through the following steps: 1. Design the memory structure using a long rolling context window, a diary file, and a markdown wiki folder. 2. Set up the systemd service to manage the agent's lifecycle and email integration. 3. Define the initial task prompts for [replaceable: task category]. 4. Implement a human-in-the-loop approval step for any external actions. Before proceeding with the full setup, perform a dry run on a single sample task using dummy data. Show me the proposed configuration files and the expected output format. Wait for my confirmation before generating the actual systemd unit files or email scripts. Ensure the agent has no access to my personal email, only a dedicated account.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.