LangMem Model Card
这是可索引项目报告证据页：它保留 LangMem Model Card 的源材料入口、机制线索和限制提醒；正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。
LangMem Model Card
| Field | Value |
|---|---|
| Repository | langchain-ai/langmem |
| Category | Agent 长期记忆 SDK |
| Stars / forks snapshot | 1500 / 168 |
| Language | Python |
| License | MIT |
| Raw capture | raw-github/langchain-ai_langmem.md |
| Updated by | hourly public metadata update, 2026-05-24 |
1. Role in Self Evolve
LangChain 的 LangMem 帮助 agent 从交互中学习并适配用户，提供记忆抽取、prompt refinement、长期记忆管理工具和 LangGraph store 集成。
2. Working Principle
对话/交互 -> 记忆抽取 -> hot-path 工具检索 -> LangGraph 长期存储
3. Evidence Path
web GitHub page observed README, 125 commits, MIT license, Python language, 1.5k stars, 168 forks, memory tools and LangGraph long-term memory integration; shell GitHub API was blocked by DNS and gh auth was invalid, so this run marks freshness as web-page observed rather than API verified.
4. Teaching Use
Use this card to explain whether a repository is a runtime, benchmark, harness-evolution loop, memory/skill substrate, or resource index. The key reading path is: raw capture -> classification row -> public site card -> project report -> aggregate GitHub analysis.
5. Limits
当前未克隆源码，未运行 benchmark 或 SDK examples；star/fork/commit 快照来自公开 GitHub 页面文本或可见页面片段。