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How to move accumulated agent memory to another host with Octop Memory

Pack memory from one supported host into a portable package and adopt it on another.

Who it is forA team lead who runs OpenClaw or Hermes and wants to switch hosts without losing project decisions and context.

The problemAccumulated decisions and context are tied to one host, so moving to another agent means starting over.

The outcomeMemory is exported as a .hmpkg package and adopted by the target host, with the package checked by the doctor command.

What you need first

  • Python 3.12 or newer
  • pip to install the octop-memory package
  • A database path for local SQLite storage, or a PostgreSQL DSN for server deployments
  • An injected LLMClient only if you want automated extraction, promotion, or page regeneration; manual storage and lexical recall work without a model

Steps

  1. Run pip install "octop-memory[cli]"
  2. Run octop-memory portable list-sources to see which memory sources the tool can read (inferred, check the README)
  3. Run octop-memory portable pack to write a .hmpkg package from the source memory (inferred, check the README)
  4. Run octop-memory portable adopt on the target host with the package file (inferred, check the README)
  5. Run octop-memory portable doctor to check the adopted memory (inferred, check the README)

Prompt for your agent

Use the octop-memory repo to list memory sources, pack the memory of <source host> into a .hmpkg file at <output path>, and adopt it on <target host>. Report the output of the portable doctor check and confirm that the package is not added to source control.

Caveat. Exported .hmpkg files contain memory data, so keep them out of source control and treat them as sensitive.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for TencentCloud/octop-memory and "Move accumulated agent memory to another host"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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