Memobase Model Card
这是可索引项目报告证据页：它保留 Memobase 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。
Memobase Model Card
| Field | Value |
|---|---|
| Repository | memodb-io/memobase |
| Category | 用户画像长期记忆后端 |
| Stars / forks snapshot | 2700 / 212 |
| Language | Python |
| License | Apache-2.0 |
| Raw capture | raw-github/memodb-io_memobase.md |
| Updated by | hourly public metadata update, 2026-05-24 |
1. Role in Self Evolve
Memobase 是 profile-based long-term memory 系统，围绕用户画像、事件时间线、批处理 buffer 和 context API 给 LLM 应用提供可控、低延迟的长期记忆。
2. Working Principle
聊天 blobs -> buffer 批处理 -> user profile/event timeline -> prompt context API
3. Evidence Path
web GitHub page observed README, 467 commits, Apache-2.0 license, 2.7k stars, 212 forks, profile/event memory workflow and SDK/MCP 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。