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MemoriLabs/MemoripublicPythongithub.com/MemoriLabs/Memori
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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. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

AGENT MEMORYAI AGENTSCLAUDE CODELLM INFRAAGENTAITRENDING #2268
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// OWNER · MemoriLabs · REPO SNAPSHOT

github.com/MemoriLabs

MemoriLabs

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

GitHubMemoriLabs
STARS15,665+37 · 7d
FORKS2,882+0 · 7d
CONTRIBUTORS0maintainer graph thin
OPEN ISSUES · PRS13· 0 
LICENSE—no license file
LANGUAGEPython 
FOUNDED—
LOCATION—
MEMBERS—
PUBLIC REPOS—
TOTAL STARS—
FOCUS—
FUNDING—

//STAR HISTORY · 12M

+15,659 all-time-window
Stars · cumulative15,661 · today
//WHY IT'S TRENDING· expert verdict · 70% confidence
ANALYSIS BY AISO.TOOLS

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent exec…

Memory from what agents do, not just what they say. Memori plugs into the software and infrastructure you already use. It has reached 14,897 GitHub stars, written primarily in Python.

Why now: Recent coverage — "Agents | Memori – The memory fabric for enterprise AI" — alongside renewed developer interest is driving current visibility.

  • 14,897 GitHub stars, 2,374 forks — verifiable at github.com/MemoriLabs/Memori.
  • Primary language Python; topics: agent, agent-memory, ai, ai-memory.
  • Licensed NOASSERTION.
  • Third-party coverage: "Agents | Memori – The memory fabric for enterprise AI".

Considerations: Solid adoption (14,897 stars) but quiet cross-source signal right now — established utility more than a current breakout.

EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Python) will tell you more than the metrics.

Sources: MemoriLabs/Memori on GitHub · Project homepage · Agents | Memori – The memory fabric for enterprise AI · Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents · Memori Labs Releases New Agent-Native Memory Infrastructure, Automatically Creating Structured Memory from Agent Trace

↻ refreshed 5m ago· next sync in now· sourced from 0 channels · 1 mention / 24h

Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.

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▌ FAQ · answers from the data spine

What is MemoriLabs/Memori?
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Who maintains Memori?
Maintained by MemoriLabs (the owner) on GitHub.
What language is Memori written in?
Primarily Python.
When was Memori created? When was the last update?
Created July 24, 2025 · last commit June 15, 2026.
How do I install Memori?
Clone the repo:
git clone https://github.com/MemoriLabs/Memori.git
Then follow the README in the cloned directory.
Is Memori actively maintained?
stalled — no commits for an extended period

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