agent-memory-onboarding

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On-demand provisioning guide for a Memmy GUI task that fully connects an explicitly named local Agent: discover its active history store, install or remove its rendered Memmy Skill, bootstrap a scan boundary, persist a validated automatic-sync recipe, and verify GUI-visible readiness.

AI & Automation 1,880 stars 163 forks Updated today MIT

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# Agent Memory Onboarding Provision an unknown local Agent at runtime without adding a framework-specific parser to Memmy. Inspect the installed Agent, install the rendered Memmy Skill through its native extension mechanism, and persist one declarative history recipe that the backend can reuse without another Agent session. This is a button-triggered guide, not startup initialization. Run it only when the current task explicitly names `$agent-memory-onboarding`. The Memmy GUI creates the managed source record before launching the task. Preserve that record and its exact `source_id`; never create a replacement source. ## Connect Success Contract Treat `operation="connect"` as one provisioning transaction. Imported memories are only bootstrap and validation evidence. They do not prove that automatic scanning was installed. Declare a connection complete only when all of these are true: 1. `verify_installation` confirms an authoritative pre-existing installation, either by normalized discovered identity or by an installation path explicitly supplied by the user. 2. The rendered Memmy Skill is installed in the active Agent surface and passes content and health checks. 3. `dataPath` identifies the verified native conversation store for that same installed product surface. 4. The initial import returns `failed=0` and a non-null `syncBoundaryAt`. 5. `save_sync_recipe` returns `syncReady=true`. 6. A final `get_status` returns the original `sourceId`, `status="skill_installed"`, ...

Details

Author
MemTensor
Repository
MemTensor/memmy-agent
Created
1 months ago
Last Updated
today
Language
TypeScript
License
MIT

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