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Ele combina memoria semantica, working memory, decision state, fatos estaveis do lead, historico de tools, estado operacional, action ledger, timeline de entidades, compressao de memoria, grafo, mensagens recentes e diagnosticos.\n\n## Smoke tecnico\n\nAntes de publicar uma build lab, rode:\n\n```bash\nnpm run smoke:n8n:multiturn\n```\n\nO smoke simula 12 trocas com tools de agenda, valida tool history, working memory, decision state, memory compression e exige `contextHealth` com score minimo de `970/1000`.\n\n## Principais recursos\n\n- Porta `ai_memory` para conectar direto no AI Agent do n8n.\n- Campo `Projeto` para isolar memórias por cliente/workspace mesmo quando a origem repete o mesmo ID de conversa.\n- Entradas opcionais `ai_languageModel` e `ai_embedding` para usar os modelos conectados pelo cliente no proprio n8n.\n- Profile facts: nome, empresa, email, telefone, preferencias e contexto comercial.\n- Tool history: quais tools foram chamadas, quando, com qual status e resultado.\n- Tool guard: bloqueia acoes dependentes quando falta contexto previo.\n- Working memory: objetivo atual, intencao recente, entidades ativas, ultimo erro e proxima acao esperada.\n- Decision state: decisoes ativas, ferramentas que nao devem ser repetidas e politica de resolucao de conflitos.\n- Operational state: resumo deterministico do estado atual das tools e do proximo passo seguro.\n- Action ledger: linha cronologica das acoes executadas pelo agente.\n- Entity timeline: evolucao compacta de entidades, fatos, relacoes e eventos relevantes.\n- Memory compression: resumos de turno, sessao, entidades e workflow para reduzir ruido e aproximar o contexto do comportamento do ChatGPT/Codex.\n- Vector memories com scores, recent messages, highlights, graph e resumo.\n\n## Custo de IA\n\nO node nao fornece LLM nem embedding gerenciados pela Tembory. Todo uso de LLM e embedding deve vir dos nodes/modelos conectados no cluster do n8n do cliente. O backend do Tembory armazena e consulta os vetores recebidos prontos.\n\n## Presets operacionais\n\nO campo avancado `Preset Operacional` preenche defaults sem sobrescrever valores configurados manualmente:\n\n- `Custom`: comportamento manual.\n- `Lab`: diagnostico completo para teste e auditoria.\n- `Producao Balanceada`: contexto rico com menos ruido.\n- `Producao Economica`: reduz secoes e resultados para economizar tokens.\n- `Auditoria`: payload detalhado para depuracao.\n\n## Blocos de contexto\n\nQuando habilitados, o agente recebe:\n\n- `Profile facts`\n- `Working memory`\n- `Decision state`\n- `Operational state`\n- `Action ledger`\n- `Entity timeline`\n- `Memory compression`\n- `Tool guard`\n- `Vector memories`\n- `Graph`\n- `Recent messages`\n- `Recent highlights`\n- `Tool history`\n- `Diagnostics`\n\n## Teste local\n\n```bash\nnpm test\nnpm pack --dry-run\n```\n\nSite: https://tembory.com\n","readmeFilename":"README.md"}