Project report / GitHub evidence

agent-memory Model Card

这是可索引项目报告证据页:它保留 agent-memory 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。

agent-memory Model Card

FieldValue
Repositoryjayzeng/agentmemory
CategoryCoding Agent Memory CLI
Stars / forks snapshot5 / 0
LanguageTypeScript
LicenseMIT
Raw captureraw-github/jayzeng_agentmemory.md
Updated byhourly public metadata update, 2026-05-24

1. Role in Self Evolve

agent-memory 是面向 Claude Code、OpenAI Codex、Cursor 和 Agent CLI 的本地优先记忆 CLI,用 Markdown 文件保存长期事实、daily log、topic note 和 scratchpad,并用 qmd 做语义检索与上下文注入。

2. Working Principle

agent turn -> local markdown memory -> qmd search -> selective context injection -> skill-installed recall

3. Evidence Path

web GitHub page observed 36 commits, MIT license, TypeScript primary language, Claude/Codex/Cursor skill install paths, qmd search, local markdown storage, 5 stars and 0 forks. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the current snapshot as web-observed rather than API-verified.

4. Teaching Use

Use this card to explain Coding-agent memory substrate in the raw -> classification -> project card -> site/report pipeline. The 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、SDK examples 或 skill install flows;star/fork/commit 快照来自公开 GitHub 页面文本或可见页面片段。