OpenSite Skills Memory Sync Model Card
这是可索引项目报告证据页:它保留 OpenSite Skills Memory Sync 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。
OpenSite Skills Memory Sync Model Card
| Field | Value |
|---|---|
| Repository | opensite-ai/opensite-skills |
| Category | Cross-Agent Skills and Memory Sync |
| Stars / forks snapshot | 7 / 0 |
| Language | Python/Shell |
| License | Unknown |
| Raw capture | raw-github/opensite-ai_opensite-skills.md |
| Updated by | hourly public metadata update, 2026-05-25 |
1. Role in Self Evolve
OpenSite Skills 把 Claude、Codex、Cursor、Copilot 与 Perplexity Computer 的技能保持在一个 Git 真相源中,并加入跨会话记忆、RAG 与 Playwright 云端上传自动化。
2. Working Principle
single skills repo -> cross-agent skill sync -> persistent cross-session memory -> Playwright cloud upload automation
3. Evidence Path
web GitHub page observed 7 stars and 0 forks, no releases, Python/Shell stack; About text says it is an AI agent skills library built by OpenSite AI, a single git repo that keeps Claude, Codex, Cursor, Copilot and Perplexity Computer in sync with persistent cross-session memory and automated cloud upload via Playwright; topics include multi-agent, persistent-memory, codex, rag, github-copilot, ai-workflow, claude-code, and agent-skills-standard. Shell GitHub API access remained blocked by DNS and local gh auth was invalid in this run, so this card treats the current snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Cross-Agent Skills and Memory Sync 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、skill install flows、memory experiments、MCP servers、agent evolution loops、security scanners 或 production deployments;star/fork/commit/release 快照来自公开 GitHub 页面文本或可见页面片段。