by MemoriLabs · Codex 技能 · ★ 16.4k
Memory from what agents do, not just what they say. Memori plugs into the software and infrastructure you already use. It is LLM, datastore and framework agnostic and seamlessly integrates into the architecture you've already designed. → Memori Cloud — Zero config. Get an API key and start building in minutes. <img src="https://img.shields.io/discord/1
| Stars | 16,395 |
| Forks | 3,321 |
| Language | Python |
| Category | Codex 技能 |
| Quality Score | 64.5091856251664/100 |
| Open Issues | 33 |
| Last Updated | 2026-09-03 |
| Created | 2025-07-24 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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Memori is 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 wo. It is categorized as a Codex 技能 with 16.4k GitHub stars.
Memori is primarily written in Python. It covers topics such as agent, agent-memory, agenticai.
You can find installation instructions and usage details in the Memori GitHub repository at github.com/MemoriLabs/Memori. The project has 16.4k stars and 3321 forks, indicating an active community.