Memary vs Memori
Side-by-side comparison of two AI agent tools
Short answer
- Memary has had no commit in 23 months; Memori is actively maintained (5 commits in the last 90 days).
- Memori is growing faster: +370 GitHub stars in the last 30 days vs +12 for Memary.
- Memary is open-source; Memori is freemium.
- Pick Memary for: the Open Source Memory Layer For Autonomous Agents. Pick Memori for: lLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state.
From GitHub data refreshed daily.
Memaryopen-source
The Open Source Memory Layer For Autonomous Agents
M
Memorifreemium
LLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state
Metrics
| Memary | Memori | |
|---|---|---|
| Stars | 2.7k | 17.1k |
| Star velocity /mo | 11.842105263157896 | 370 |
| Commits (90d) | 0 | 5 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 40 | 19.1K |
| Overall score | 0.1952301943477728 | 0.6281376966364172 |
Pros
- +开源透明的记忆管理系统，允许完全自定义和扩展记忆机制
- +同时支持本地模型（Ollama）和云端模型（OpenAI），提供灵活的部署选择
- +内置模型切换功能，可以无缝在不同AI提供商之间切换而无需重写代码
Cons
- -严格的Python版本限制（<=3.11.9），可能与较新的开发环境不兼容
- -复杂的初始配置，需要设置多个API密钥和数据库连接
- -依赖特定的模型框架和外部服务，增加了系统的复杂性和维护成本
Use Cases
- •构建需要跨会话保持记忆的AI客服或助手系统，提供个性化的用户体验
- •开发具有长期学习能力的自主AI智能体，用于复杂的决策和规划任务
- •创建多轮对话AI应用，如教育助手或咨询系统，需要记住历史交互内容
FAQ
- Which is more popular, Memary or Memori?
- Memori has more GitHub stars (17,064 vs 2,653).
- Which is more actively developed, Memary or Memori?
- Memori had more commits in the last 90 days (5 vs 0).
- Should I use Memary or Memori?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.