adk-memory-self-improvement

SKILLFlusso di lavorocommunity
v0.0.0Folken2MITAggiornato 14 g faFonte →

EXPERIMENTAL, opt-in memory self-improvement for long-lived ADK agents — relevance-conditioned preload, the periodic consolidation "dream" pass, the after-turn judge fork, fire-and-forget sibling runs, per-session throttling, and the skill curator that proposes SKILL.md files. Read before enabling a

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
2Stelle del repo
1Client
1Formati
14 g faUltimo aggiornamento
Skill
AutoreFolken2
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

EXPERIMENTAL, opt-in memory self-improvement for long-lived ADK agents — relevance-conditioned preload, the periodic consolidation "dream" pass, the after-turn judge fork, fire-and-forget sibling runs, per-session throttling, and the skill curator that proposes SKILL.md files. Read before enabling any NUVEL_MEMORY_* or NUVEL_SKILL* flag, when budgeting the extra LLM calls these add per turn, or wh

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