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compact-memory-implementation
Developer implementation guide for adding compact memory to an Agent — covers fork agent pattern for compaction, trigger strategy, summary format design, and memory restoration in subsequent sessions. Use when a developer asks how to implement compact memory, context compression, or memory persistence in their agent built with Claude Agent SDK or Anthropic API.
skills/compact-memory-implementation/SKILL.md
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# compact-memory-implementation
A developer guide for building compact memory into an Agent: detect when to compress, fork a compactor sub-agent, produce a structured summary, and restore it in the next session.
## Step 1 — Understand the setup
Before designing anything, clarify:
- **SDK / language**: Claude Agent SDK? Direct Anthropic API? Python or TypeScript?
- **Agent architecture**: single-agent loop, multi-agent, tool-calling?
- **Session model**: one long-running session or multiple short sessions?
- **What must survive compaction**: task state, decisions, tool results, conversation history?
This determines which pattern fits.