Memori

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