evolve-lite-adapt-memo…
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
Apply data-retention rules to the local evolve store — flag or delete stale and unused memories and expired sessions (dry-run by default)
> /plugin marketplace add AgentToolkit/altk-evolve > /plugin install evolve-lite@evolve-marketplace
How it fires
How this command gets triggered: by you, by Claude, or both.
/evolve-lite-retentionContext preview
What this command does when you run it.
Apply data-retention rules to the local evolve store — flag or delete stale and unused memories and expired sessions (dry-run by default)
description: Apply data-retention rules to the local evolve store — flag or delete stale and unused memories and expired sessions (dry-run by default)
Use the `evolve-lite-retention` skill on the current conversation. Follow the skill's instructions exactly.
Coding agents repeat the same mistakes because they start fresh every session. Evolve gives agents memory — they learn from what worked and what didn't, so each session is better than the last.
Repo: AgentToolkit/altk-evolve
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.
Publish a private guideline to a configured write-scope repo.
Save the current conversation as a trajectory JSON file in OpenAI chat completion format for analysis and fine-tuning
Captures the current session's successful workflow and saves it as a reusable skill with SKILL.md and helper scripts
Add a shared guidelines repo (read-scope subscription or write-scope publish target) to the unified repos list.