TiMem Model Card
这是可索引项目报告证据页：它保留 TiMem 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。
TiMem Model Card
| Field | Value |
|---|---|
| Repository | TiMEM-AI/timem |
| Category | 长程 Agent 时间记忆 |
| Stars / forks snapshot | 134 / 8 |
| Language | Python |
| License | NOASSERTION |
| Raw capture | raw-github/timem-ai_timem.md |
| Updated by | hourly public metadata update, 2026-05-24 |
1. Role in Self Evolve
Temporal-Hierarchical Memory Consolidation 项目，用五层 Temporal Memory Tree 组织长程对话记忆并支持云服务与自托管部署。
2. Working Principle
把长对话切成从细粒度证据到稳定 persona 的多层时间树，按查询复杂度决定召回范围。
3. Evidence Path
web GitHub page observed Temporal Memory Tree README and memory service directories; 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；star/fork/commit 快照来自公开 GitHub 页面文本。