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Memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot15k stars

2.6k forks · 43 contributors

Doramagic.ai Last verification date: 2026-06-22 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-22

What is Memori?

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/MemoriLabs/Memori, https://github.com/MemoriLabs/Memori#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

RepositoryMemoriLabs/Memori

15k stars · 2.6k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Memori Overview, Installation, and Quickstart

Related topics: System Architecture: Python, TypeScript, and the Rust Core, LLM Provider Adapters, Framework Integrations, and Advanced Augmentation, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

System Architecture: Python, TypeScript, and the Rust Core

Related topics: Memori Overview, Installation, and Quickstart, LLM Provider Adapters, Framework Integrations, and Advanced Augmentation, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

LLM Provider Adapters, Framework Integrations, and Advanced Augmentation

Related topics: Memori Overview, Installation, and Quickstart, System Architecture: Python, TypeScript, and the Rust Core, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

BYODB Storage Layer, CLI, and Operations

Related topics: Memori Overview, Installation, and Quickstart, System Architecture: Python, TypeScript, and the Rust Core, LLM Provider Adapters, Framework Integrations, and Advanced Augme...

Source: https://github.com/MemoriLabs/Memori / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/MemoriLabs/Memori, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars15k stars

Forks2.6k forks

Contributors43 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using Memori with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
[Feature] Add Dark Mode Toggle Support
github / github_issue
02
[Feature] Add support to opencode
github / github_issue
03
Self-hosted (BYODB) usage: `capture_agent_turn()` POSTs to the cloud API
github / github_issue
04
Version 3.3.6
github / github_release
05
Version 3.3.5
github / github_release
06
Version 3.3.4
github / github_release
07
Version 3.3.3
github / github_release
08
Version 3.3.2
github / github_release
09
Version 3.3.1
github / github_release
10
Version 3.3.0
github / github_release
11
Version 3.3.0rc1
github / github_release
12
Version 3.2.8
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm install @memorilabs/memori

Official start command · https://github.com/MemoriLabs/Memori#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

Memori Manual

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

Open the full manual

https://github.com/MemoriLabs/Memori Project Manual
Table of Contents
Memori Overview, Installation, and Quickstart
Related Pages
Purpose and Scope
Core Architecture
Memory Scoping
Installation

Memori Overview, Installation, and Quickstart

Related topics: System Architecture: Python, TypeScript, and the Rust Core, LLM Provider Adapters, Framework Integrations, and Advanced Augmentation, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

System Architecture: Python, TypeScript, and the Rust Core

Related topics: Memori Overview, Installation, and Quickstart, LLM Provider Adapters, Framework Integrations, and Advanced Augmentation, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

LLM Provider Adapters, Framework Integrations, and Advanced Augmentation

Related topics: Memori Overview, Installation, and Quickstart, System Architecture: Python, TypeScript, and the Rust Core, BYODB Storage Layer, CLI, and Operations

Source: https://github.com/MemoriLabs/Memori / Human Manual

BYODB Storage Layer, CLI, and Operations

Related topics: Memori Overview, Installation, and Quickstart, System Architecture: Python, TypeScript, and the Rust Core, LLM Provider Adapters, Framework Integrations, and Advanced Augme...

Source: https://github.com/MemoriLabs/Memori / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.