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Pick up yesterday's work with more than an AI chat history

A morning-resume workflow for recovering what you read, tried, decided, and left unfinished—not just the last message you sent to an agent.

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Resume workWork historyAI chat historyLocal memory

The chat log often starts after the investigation

Agent conversations preserve requests, decisions, revisions, and review results. They matter. But they are only one part of a work session.

Before sending a prompt, you may already have read documentation, inspected code and logs, tested an idea, and narrowed the options. The final request to the agent does not explain all of that earlier work.

What disappears before the first prompt

Suppose you are debugging authentication. You read a GitHub issue and official docs, try a change in your editor, and find that it fails. Only then do you ask Claude Code to implement a different approach.

The agent's chat history may contain the chosen approach, but not the failed attempt or the source that ruled it out. When you return the next morning, those missing steps are exactly what you need to avoid repeating the investigation.

Screens and browser activity can restore clues

An open file, a terminal error, an issue page, and the app you were using can all help identify the point where work stopped. Browser titles and URLs show the shape of an investigation; screenshots and activity timestamps add sequence and visual context.

These signals need interpretation. Opening a page does not prove you read it, and a screenshot does not explain why you made a decision. Treat them as evidence to inspect, not an automatically correct narrative.

Keep memory with the person doing the work

If you switch among Claude Code, Codex, and Cursor, deciding which agent owns the full history becomes awkward. The work happened in your environment, across all three tools.

Contextberg keeps that context on the user's side and exposes selected parts through MCP. The goal is not to replace agent conversations; it is to connect them with browser, screen, and app activity so the next agent can understand the surrounding work.

The minimum useful morning recap

You do not need every event from yesterday. You need the smallest set that tells you where to begin and what still needs checking.

A short resume brief
QuestionWhy it mattersPossible evidence
What was I editing?Find the restart pointRecent app and agent activity
What failed?Continue the investigationTerminal view and agent conversation
What did I read?Recover possible decision inputsBrowser history and screenshots
What did I decide?Avoid repeating the same debateAgent history and memory notes
What remains open?Choose the first actionActivity and an explicit note

A question to ask in the morning

Example resume prompt
What did I implement in the last two hours of yesterday's work, where did I stop, and what was I going to do next?
List only the pages and observations that may explain the decision.
Mark anything you cannot confirm, then suggest the first 15 minutes of work in order.

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