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KnowledgeMay 13, 2026·2 min de lectura

Memori — Agent-Native Memory Infrastructure

Memori is an Apache-2.0 memory layer that captures what agents do (not just say) and plugs into existing stacks via Python/Node SDKs and a cloud option.

AI Open Source
AI Open Source · Community
Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 94/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Memory
Instalación
Pip|Npm
Confianza
Confianza: Established
Entrada
pip install memori
Comando CLI universal
npx tokrepo install 7fcb5dcd-8666-5767-a3af-208f83343287
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

Memori is an Apache-2.0 memory layer that captures what agents do (not just say) and plugs into existing stacks via Python/Node SDKs and a cloud option.

Best for: teams building long-running agents that need durable memory and audit-friendly traces

Works with: Python and Node runtimes, existing agent frameworks, self-hosted or cloud storage backends

Setup time: 8-15 minutes

Key facts (verified)

  • GitHub: 14399 stars · 2050 forks · pushed 2026-05-12.
  • License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: pip install memori.

Main

  • Treat memory as infrastructure: log durable actions and outcomes, not just chat transcripts, so you can replay decisions later.

  • Start by capturing one narrow signal (tool calls, file writes, or task outcomes), then expand once you can query and summarize it reliably.

  • When debugging agents, memory traces help you answer “what happened” with timestamps and artifacts instead of vibes.

Source-backed notes

  • README tagline emphasizes memory from what agents do, not just what they say.
  • README links both PyPI (memori) and npm (@memorilabs/memori) packages.
  • Repo license file is Apache License 2.0.

FAQ

  • Is it framework-specific?: No—README describes it as framework and datastore agnostic.
  • Is there a hosted option?: Yes—README links to Memori Cloud documentation.
  • Do I have to store private data?: No. You control what events are captured and where they are stored.
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Fuente y agradecimientos

Source: https://github.com/MemoriLabs/Memori > License: Apache-2.0 > GitHub stars: 14399 · forks: 2050

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