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Memory Keeper

porgithub·github· v1.0.0 · atualizado em 2026-04-10
78
Score

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

memory-managementknowledge-basedomain-driven-designcode-organizationreusable-patternsinstitutional-memory
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Documento do Skill

SKILL.mdremember/workflow
1. Parse user input to extract domain and scope.
2. Search existing memory files to understand current domain structure.
3. Analyze the lesson learned from user input and chat session content.
4. Categorize the learning (new gotcha, enhancement, best practice, etc.).
5. Determine target domain(s) and file paths.
6. Read the domain and domain memory files to avoid redundancy.
7. Update or create memory files with new learnings.
8. Write succinct, clear, and actionable instructions.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Memory Keeper
remember
Fases Cognitivas4
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.REFLECT
Triggers8
remember this lessonstore this learningcreate a memory instructionadd to the knowledge basepersist this informationsave this debugging sessionrecord this workflow discoveryavoid this mistake in the future

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Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download remember
$ synaptic skills detail remember
$ synaptic skills live remember

Links

GitHub Repository