Solving Tangled Terminal Sessions with AI Agents

If you are a developer running multiple AI agents simultaneously, this scenario will be familiar to you. You have dozens of terminal windows open, and when one agent starts spewing build logs, another loses its context. You end up wasting over 15 minutes just on rework. And it goes without saying that the agents often "forget" your project status and write nonsensical code. To fix this, you need to change your tool configuration.

Splitting Agent Workspaces

If you handle all tasks in a single terminal, the data gets mixed up. Agents mistake build logs for instructions and start hallucinating. Use herdr, a Rust-based multiplexer, to completely separate your project units into three sessions: planning, implementation, and testing.

1. Planning Session: Place the Pi or OMP agent here and limit its RAM to 2GB. It should only handle design and requirement definitions.
2. Implementation Session: Keep Claude Code or Cursor Agent in an 8GB environment. Focus them purely on writing and modifying code.
3. Testing Session: Allocate the Copilot CLI to a 4GB environment. Task it only with static analysis and runtime tracing.

By locking down these environments, agents won't read irrelevant logs. The herdr binary is only 10MB and consumes almost no system resources, so you don't need to worry about performance.

Reducing Server Restart Time to 1 Minute

If your computer shuts down or your SSH connection drops, you waste time rebuilding your environment. herdr's virtual terminals are decoupled from your user session, so it restores the screen exactly as it was upon reconnection.

Apply the following settings to create an automatic recovery routine:

1. Add a [session] section to ~/.config/herdr/config.toml. Include the settings resume_agents_on_restore = true and pane_history = true.
2. Create separate Git Worktrees for each project to prevent file conflicts between agents.
3. Include export HERDR_AGENT=<name> in your startup script to assign a unique ID to each agent instance.

Using this method, it reads the session.json file and renders the terminal in under 2 seconds. The environment recovery that used to take 15 minutes is completed in under 1 minute.

Archiving Decision History Logs

Don't just ignore your terminal buffers. You must leave evidence of why an agent wrote certain code so that information isn't lost when you hand off the project later. Run the following routine every week:

1. Call pane list via herdr's JSON-RPC interface to verify active agent IDs.
2. Execute the pane read command with the recent-unwrapped option to save 150 lines of logs to a file.
3. Use the sed command to scrub sensitive information like API keys or passwords using regex.

By automating this process, you can maintain 100% traceability of past decision history, even if you switch agents. Periodically clean up dormant sessions using the session stop command. You need to free up remaining memory so your agents become less "clueless."