# 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.

## Install

Copy the content below into your project:

## Quick Use

```bash
python -m venv venv && source venv/bin/activate
pip install memori
python -c "import memori; print('memori import ok')"
# Docs: https://memorilabs.ai/docs/
```

## Intro

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 & Thanks

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

---

<!-- ZH -->

## Quick Use

```bash
python -m venv venv && source venv/bin/activate
pip install memori
python -c "import memori; print('memori import ok')"
# Docs: https://memorilabs.ai/docs/
```

## Intro

Memori 是 Apache-2.0 许可的 agent 记忆层，强调记录 agent 的行为轨迹而非仅对话文本；提供 Python 与 Node SDK，并支持云端方式快速接入现有架构。

**Best for:** 需要长期运行且要可追溯记忆/轨迹的 agent 团队

**Works with:** Python 与 Node 运行时、常见 agent 框架、可自托管或云端存储后端

**Setup time:** 8-15 minutes

### Key facts (verified)

- GitHub：14399 stars · 2050 forks；最近更新 2026-05-12。
- 许可证：Apache-2.0；作者头像与仓库链接均已通过 GitHub API 复核。
- README 中核对过的入口命令：`pip install memori`。

## Main

- 把记忆当基础设施：记录可持久的动作与结果，而不是只存聊天记录，方便回放与追因。

- 先从一个窄信号切入（工具调用/文件写入/任务结果），能稳定检索与总结后再逐步扩展。

- 调试 agent 时，记忆轨迹能用时间线与证据回答“发生了什么”，而不是靠猜。

### Source-backed notes

- README 的定位是记录 agent 的行为轨迹（do），而不只是对话内容（say）。
- README 同时提供了 PyPI（`memori`）与 npm（`@memorilabs/memori`）包入口。
- 仓库 LICENSE 为 Apache License 2.0。

### FAQ

- **它绑定某个框架吗？**：不绑定。README 描述其对框架与存储后端均保持中立。
- **有托管版吗？**：有。README 提供了 Memori Cloud 文档入口。
- **一定要存敏感数据吗？**：不需要。你可以决定捕获哪些事件以及存到哪里。

## Source & Thanks

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


---
Source: https://tokrepo.com/en/workflows/memori-agent-native-memory-infrastructure
Author: AI Open Source