MorphMorph
Morph Compact

The Best Context Compaction

Near-lossless context compaction in under 3 seconds. Shrink agent context 50-70% while keeping every surviving sentence verbatim. Your agents run for hours, not minutes.
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Context compaction visualization — large input compressed to compact output
Morph Compact

When a capable model feels dumb, the problem is context

Compaction, not summarization

Summarization rewrites your context. Factory's eval on 36K real sessions scored it 3.4-3.7/5 on accuracy: file paths, error codes, and decisions get paraphrased away. Compact deletes filler and keeps every surviving sentence word-for-word.

Compaction vs summarization — raw signal preserved, filler removed

Under 3 seconds

Every compaction finishes in under 3 seconds. Fast enough to run inline before every call, not just at the 95% capacity cliff.

Token cost reduction — descending cost bars

Near-lossless

Output lines are character-for-character matches from the input. No generated content, no reformatting. JetBrains found summarization causes 13-15% longer agent trajectories. Verbatim compaction avoids that.

Context compression — large input distilled to compact output

Enable 24+ hour agent sessions

Prompt-aware compaction

Prompt-aware compaction

Stop restarting sessions. Start shipping.

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Free tier available. Pay only for what you use.