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官方说明2 个来源昨天
MemGPT

MemGPT

Memory management system, providing context to LLM
在 GitHub 查看 ↗直链 · 无中转页
官方说明Letta Build stateful agents with memory that can learn and improve over time.
来源明细
收录自 e2b-dev/awesome-ai-agents 榜单(我们从中收集的条目之一) · 条目类型:开源项目
收录与活跃
收录于 2026-10-16 · 最近见到 2026-10-16 · 共见到 3 次 · 被 2 个来源列出
评分构成
综合分 203 · 2 个来源 · repo
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们还没有为它记录标签。
谁维护它、还在更新吗?
我们收录于 2026-10-16;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Letta

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Build stateful agents with memory that can learn and improve over time.
Letta (f.k.a. MemGPT) is actively developed. The current source code lives in letta-ai/letta-code, which includes the agent harness, interactive terminal UI, App Server, channels, and the runtime used by the desktop and web apps.
Get started
Install Letta from npm:
Launch the interactive terminal UI:
Run the App Server for local or self-hosted agents:
You can also use Letta through:
- the desktop app for macOS, Windows, and Linux
- chat.letta.com in your browser, including on mobile
- Slack, Telegram, Discord, and custom channels
- the Letta Agent SDK for building agents into TypeScript applications
- Letta Cloud for keeping agent memory, identity, and conversations available across computers
See the Letta documentation for current installation, development, and deployment instructions.
Historical source
The archive branch contains the retired Letta V1 API server. Existing tags and releases remain available for reproducibility, but active projects should use the current source.
来源
awesome · https://github.com/cpacker/MemGPT
收录于
昨天

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