Your agent needs a working memory dump (or it'll lose everything mid-conversation)

Your agent just spent 20 minutes analyzing your codebase, found three critical bugs, and was halfway through writing the fixes when Claude hit its context limit. Everything's gone. It doesn't remember what it found, where the problems are, or what it was building.

This happens because most agents treat working memory like RAM — it's all ephemeral until the task is "done." But agent tasks aren't like function calls. They're messy, interrupted, and often span multiple sessions.

The solution is a working memory dump pattern. Before your agent hits context limits or session boundaries, it writes everything important to a structured scratch file.

Think of it like a surgeon's notes during a long operation. Every 30 minutes, document current state, findings so far, and next steps. If something interrupts the procedure, anyone can pick up exactly where you left off.

Here's the working memory template I use:

# Working Memory - [Task] - [Timestamp]

## Current Objective
[What am I trying to accomplish right now?]

## Key Findings
- [Important discoveries, bugs found, patterns identified]
- [Decisions made and rationale]
- [Dead ends explored (so I don't repeat them)]

## Current State
- Files modified: [list]
- Tests written: [list] 
- Outstanding questions: [list]

## Next Steps (in order)
1. [Immediate next action]
2. [Then this]
3. [Then this]

## Context for Handoff
[Everything someone else would need to continue this work]

The key is triggering the dump before you need it. I set up automatic triggers:

• Token threshold: When context usage hits 75%, dump working memory
• Time-based: Every 25 minutes of active work
• Task transitions: Before switching between major subtasks
• Uncertainty spikes: When the agent starts asking clarifying questions

The magic happens when your agent loads this file at the start of the next session. Instead of "I need to understand your codebase," you get "I see I was implementing the user authentication bug fix. I found the session timeout issue in auth.py line 127 and was writing the test coverage. Let me continue with the password validation fix."

One gotcha: don't make the dump file part of your permanent documentation. It's working memory, not knowledge base. I keep dumps in a /tmp/agent_working_memory/ folder and auto-delete anything older than a week.

Warning: Your agent will resist this pattern at first. It feels like "extra work" when everything's going smoothly. But the first time it saves 45 minutes of rediscovery work, you'll never go back.

The working memory dump turns context limits from a productivity killer into a minor hiccup. Your agent becomes genuinely resumable instead of starting from scratch every session.

This pattern works for any long-running agent task — coding, research, writing, analysis. The key is making the dump automatic and structured, so your agent never has to remember to remember.