AgentsMédio

Persistent Memory

porropl-btc·ropl-btc· v1.0.0 · atualizado em 2026-04-10

Score

ALWAYS USE THIS SKILL when managing persistent memory within this workspace. This includes recalling task-start memory, processing explicit "remember" instructions, storing durable preferences and facts, and retrieving prior context. This skill manages the local memory workflow and CLI for initialization, synchronization, search, addition, recent items, and statistics.

persistent-memorymemory-managementknowledge-retrievalragai-agentcontext-management

Linguagens

PythonShell

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Documento do Skill

SKILL.mdpersistent-memory/workflow

Initialize Memory: — If the workspace is fresh, run `pmem init` to set up the memory system.

Sync Memory: — At the start of a task, run `pmem sync` to ensure database health.

Search for Context: — Use `pmem search "<topic keywords>" --limit 8` to retrieve relevant information for the task.

Add New Information: — When the user asks to remember something or a durable fact is learned, use `pmem add "<memory text>" --tags "<tags>" --source "assistant"`.

Verify Recall State: — Before finalizing memory-sensitive work, run `pmem stats` to check the memory status.

Prune Old Data: — Periodically, use `pmem prune --source "<label>" [--older-than <days>]` to remove outdated information.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

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Árvore do Skill

Persistent Memory

persistent-memory

Fases Cognitivas4

1.SENSE

2.CONTEXTUALIZE

3.ACT

4.REFLECT

Triggers10

manage persistent memorystore information in memoryretrieve information from memoryremember this informationrecall previous contextinitialize memorysearch for relevant informationadd information to memorysync memorywhat have I learned so far?

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download persistent-memory

$ synaptic skills detail persistent-memory

$ synaptic skills live persistent-memory

Links

GitHub Repository