El catálogo se convierte en una fuerza laboral.
Cada conector certificado se proyecta automáticamente como una herramienta que un agente de IA puede invocar. Así, los mismos paquetes que alimentan las plantillas de un solo clic también impulsan una fuerza laboral de agentes gobernada: una planificación de 40 agentes a través de 4 capas, todos en un solo runtime.
El runtime, los dos primeros agentes, BYOK de LLM y la consola de administración están activos hoy. Las capas 2 a 4 a continuación son el desarrollo planificado secuencial, aún no implementado.
First-party agents
Ready-to-run agents hosted on the Zervanor runtime. Each runs as an isolated pod in the same runtime as your workflows.
AI Assistant
ai-agent Conversational AI assistant with connector-backed tools. Built on the Generic Agentic Runtime shell (ADR-038): understands goals in natural language, uses available connector tools to take real action
Content Agent
content-agent Content operations agent: drafting, editorial calendar, and social scheduling across CMS and publishing tools. Built on the Generic Agentic Runtime shell (ADR-038).
Data Agent
data-agent Autonomous data and analytics agent. Queries databases and BI tools, transforms raw results into readable reports, identifies trends and anomalies, and delivers summaries via email or Slack. Read-only
DevOps Agent
devops-agent Autonomous DevOps and infrastructure agent. Monitors deployments, triages incidents, coordinates on-call via PagerDuty, checks GitHub PR status, and automates routine ops tasks — across GitHub, Kubern
E-commerce Agent
ecommerce-agent E-commerce operations agent: order management, inventory tracking, and fulfillment across store platforms. Built on the Generic Agentic Runtime shell (ADR-038).
Education Agent
education-agent Education operations agent: student progress tracking and feedback across LMS and scheduling tools. Built on the Generic Agentic Runtime shell (ADR-038).
Executor Agent
executor-agent Multi-step automation archetype: reliably executes a defined multi-step procedure end to end, idempotently. Built on the Generic Agentic Runtime shell (ADR-038).
Finance Agent
finance-agent Finance operations agent: invoicing, AP/AR, expense approvals, and reconciliation across accounting and payment tools. Built on the Generic Agentic Runtime shell (ADR-038).
generic-agent
generic-agent Generic Agentic Runtime shell (ADR-038). One configurable runtime: a new agent product is this shell + a manifest (system prompt + tool bindings), not a new codebase. ReAct planning loop over AG-02 co
HR Agent
hr-agent HR operations agent: employee onboarding, policy Q&A, and time-off handling across HRIS and chat tools. Built on the Generic Agentic Runtime shell (ADR-038).
Legal Agent
legal-agent Legal review agent: contract clause review and risk flagging — read-only, escalates to counsel. Built on the Generic Agentic Runtime shell (ADR-038).
Marketing Agent
marketing-agent Marketing analytics agent: campaign performance analysis, segmentation, and reporting across ad and email tools. Built on the Generic Agentic Runtime shell (ADR-038).
Monitor Agent
monitor-agent Threshold-alerting archetype: evaluates a metric or condition against a threshold and reports status or raises an alert. Built on the Generic Agentic Runtime shell (ADR-038).
Planner Agent
planner-agent Domain-agnostic multi-phase task orchestrator: decomposes a complex goal into ordered phases and drives each with real tools. Built on the Generic Agentic Runtime shell (ADR-038).
Project Manager Agent
pm-agent Project management agent: sprint planning, standup summaries, and backlog grooming across issue trackers. Built on the Generic Agentic Runtime shell (ADR-038).
Real Estate Agent
realestate-agent Real estate operations agent: listing management, lead qualification, and showing scheduling across CRM tools. Built on the Generic Agentic Runtime shell (ADR-038).
Recruiting Agent
recruiting-agent Recruiting agent: CV screening, candidate ranking, and interview scheduling across ATS and calendar tools. Built on the Generic Agentic Runtime shell (ADR-038).
Research Agent
research-agent Autonomous research specialist. Given a research goal, gathers information from connected sources (web, documents, APIs), synthesizes findings, and returns a structured research report. Read-only tool
Responder Agent
responder-agent Context-aware Q&A archetype: answers questions grounded in retrieved data and tool calls, with citations. Built on the Generic Agentic Runtime shell (ADR-038).
Sales Agent
sales-agent Autonomous sales operations agent. Manages CRM pipelines, enriches prospect data, drafts outreach, tracks deal activity, and surfaces revenue insights — across HubSpot, Salesforce, email, and calendar
Security Agent
security-agent Security operations agent: threat-alert triage and audit-log review — read-only, escalates incidents. Built on the Generic Agentic Runtime shell (ADR-038).
Slack AI Agent
slack-agent Conversational AI over Slack (Socket Mode) powered by the Generic Agentic Runtime shell (ADR-038, PH-AG-03C). Every inbound DM or @mention drives a ReAct planning loop that can use connector tools to
Support Agent
support-agent Autonomous customer support agent. Triages incoming tickets, routes to the right queue, drafts responses from knowledge base, escalates when needed, and keeps Slack updated — across Zendesk, Freshdesk
Uptime Watcher
uptime-watcher L3 Ambient Watcher: on a schedule, evaluates endpoint/service uptime against a threshold and raises an ALERT verdict when degraded, cascading to a role agent. Built on the Generic Agentic Runtime shel
WhatsApp AI Agent
whatsapp-agent-v2 Conversational AI over WhatsApp powered by the Generic Agentic Runtime shell (ADR-038). Replaces command rules with LLM intelligence: every inbound message drives a ReAct planning loop that can use co
whatsapp-agent
whatsapp-agent WhatsApp provider agent built with Zervanor Agent SDK
Un nuevo agente es un manifiesto, no una base de código.
Un shell genérico de runtime de agentes (ADR-038) ejecuta cada agente. Un nuevo producto es un agent.manifest.json (prompt de sistema, modo de planificación, modo de memoria y una vinculación de herramientas seleccionada) más zervanor push. Sin código personalizado, sin nuevo repositorio.
- Bucle de planificación ReAct: razonar → actuar → observar, con herramientas preparadas desde el catálogo de conectores al inicio.
- Trae tu propio modelo: OpenAI / Gemini hoy a través de una interfaz de proveedor/base-url; nunca un solo proveedor preprogramado.
- Gobernado: aislamiento por tenant, listas blancas de herramientas seleccionadas y políticas de aprobación de HITL por agente.
{
"id": "support-agent",
"agentic": {
"system_prompt": "You triage support tickets…",
"planning_mode": "react",
"memory_mode": "session",
"tool_sources": ["zendesk", "slack"],
"tool_policy": { "require_confirmation": true }
}
}