Techniques··4 min read

How to Compress Long Chat History Without Losing Context

Keep long AI conversations useful by summarizing and compressing earlier turns, preserving decisions and key details.

Long chats degrade

As a conversation grows, early instructions get less attention or drop off entirely. Answers drift, and you repeat yourself.

Make a handoff brief

Copy the conversation, run it through the Context Compressor with key terms preserved, and edit it into a brief. Check the size with the Token Counter.

  • Goal
  • Decisions made
  • Constraints
  • Current state
  • Next steps

Start fresh

Open a new chat with the brief. You get the benefit of the history without its weight.

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  • Context Compressor — Reduce token usage with compression strategies tuned for LLMs.
  • Token Counter — Live token, character, and context-window meter for any prompt. Uses official tiktoken encoders.

Tools mentioned

Frequently asked

Why does the AI forget earlier messages?

Old turns fall out of the context window or get less attention as conversations grow.

What should a handoff summary include?

Goal, decisions, constraints, current state, and next steps.

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