Project report / GitHub evidence

MOLT Model Card

这是可索引项目报告证据页:它保留 MOLT 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。

MOLT Model Card

FieldValue
RepositoryOiiOAI/MOLT
CategoryReflexive Co-Evolution Engine
Stars / forks snapshot0 / 0
LanguageShell
LicenseMIT
Raw captureraw-github/oiioai_molt.md
Updated byhourly public metadata update, 2026-05-24

1. Role in Self Evolve

MOLT 是 OpenClaw multi-agent systems 的 reflexive co-evolution engine,用结构化观察发现重复劳动、handoff 断裂、协议偏移和 memory 不读回等系统性摩擦。

2. Working Principle

multi-agent traces -> structural friction observation -> root-cause attribution -> evidence-backed findings -> protocol/memory/team evolution

3. Evidence Path

web GitHub page observed MIT license, Shell primary language, reflexive co-evolution engine, task/team/system observation levels, OpenClaw native and Claude Code Skill signals, 0 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 Reflexive Co-Evolution Engine 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、skill install flows、memory experiments 或 production deployments;star/fork/commit 快照来自公开 GitHub 页面文本或可见页面片段。