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caura-ai / Subagents

caura

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

  • 508 estrellas
  • 103 forks
  • 50 issues abiertos
  • Lenguaje: Python
  • Licencia: Apache-2.0
  • actualizado

Instalación

Terminal
git clone https://github.com/caura-ai/caura && cp caura/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.
Items instalables

2 items en este repositorio

How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a Caura-connected team or fleet and your work should build on, and feed back into, what the organization already knows; it sets the operating posture. For the mechanics of individual caura_* tools, see the companion "memclaw" skill. # legacy-name-floor: the companion skill's frozen slug

Instalar
memclawSkill

The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the start of a task to recall prior decisions, findings, and rules before acting, and write outcomes, decisions, and lessons as work completes. Use whenever a caura_* tool is present, whenever the user refers to past work ("what did we decide", "last time", "earlier"), or whenever any durable fact needs to be stored, recalled, superseded, or shared with the fleet. Do not use it for throwaway within-session scratch state.

Instalar
README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Casos de uso
Topics
agent-memoryagentic-aiai-agentsai-infrastructureclaudefastapiknowledge-graphllm-memorymcpmcp-servermemory-managementmulti-agent-systemsopenaipgvectorrag
Preguntas frecuentes

Lo que la gente pregunta sobre caura

¿Qué es caura-ai/caura?

caura-ai/caura es subagents para el ecosistema de Claude AI. Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0. Tiene 508 estrellas en GitHub y su última actualización registrada es del 2026-10-23.

¿Cómo se instala caura?

Puedes instalar caura clonando el repositorio (https://github.com/caura-ai/caura) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar caura-ai/caura?

Nuestro agente de seguridad ha analizado caura-ai/caura y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene caura-ai/caura?

caura-ai/caura es mantenido por caura-ai. La última actividad registrada en GitHub es del 2026-10-23, con 50 issues abiertos.

¿Hay alternativas a caura?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

Web del proyecto
https://caura.ai