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KnowledgeMay 13, 2026·2 min de lecture

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
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Native · 94/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Memory
Installation
Pip|Npm
Confiance
Confiance : Established
Point d'entrée
pip install memori
Commande CLI universelle
npx tokrepo install 7fcb5dcd-8666-5767-a3af-208f83343287
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

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.
🙏

Source et remerciements

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

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