Continual Learning
- 435 installs
- 2.5k repo stars
- Updated August 5, 2026
- cursor/plugins
Design Cursor plugins that capture session feedback and update rules or memory so agent behavior improves over time without manual prompt rewrites.
About
continual-learning from cursor/plugins encodes how to build plugins that learn across sessions: structured feedback capture, persistent memory updates, and incremental rule refinement so Cursor agents improve behavior over time instead of resetting context each chat.
- Session feedback capture
- Durable lesson retention
- Rule and memory updates
- Reduced prompt drift
- Long-horizon agent improvement
Continual Learning by the numbers
- 435 all-time installs (skills.sh)
- Ranked #1,896 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cursor/plugins --skill continual-learningAdd your badge
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| Installs | 435 |
|---|---|
| repo stars | ★ 2.5k |
| Last updated | August 5, 2026 |
| Repository | cursor/plugins ↗ |
What it does
Design Cursor plugins that capture session feedback and update rules or memory so agent behavior improves over time without manual prompt rewrites.
Files
Continual Learning
Keep AGENTS.md current by delegating the memory update flow to one subagent.
Trigger
Use when the user asks to mine prior chats, maintain AGENTS.md, or run the continual-learning loop.
Workflow
1. Call agents-memory-updater. 2. Return the updater result.
Guardrails
- Keep the parent skill orchestration-only.
- Do not mine transcripts or edit files in the parent flow.
- Do not bypass the subagent.
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