VCP 部署在 AI 模型 API 与前端应用之间,是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架,将原本“无状态、无记忆、无工具调用能力”的大语言模型,彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
Re-anchor long conversations that drift through repeated local corrections.
A Codex plugin and local MCP runtime for context-bounded image generation and inspection.
Local, read-only audit for stale AGENTS.md, CLAUDE.md, and generic SKILL.md instructions.
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
Cross-agent plugin for manually excluding and editing AI conversation context, with search, filtering, hide/restore, undo, and original Session preservation.
为 DeepSeek Harness 打造:选中 AI 回答或思考内容,随时追问、学习、检查与纠偏。
DeepSeek Harness 的 Agent 工作台扩展 · 多智能体协作、长上下文与记忆、代码理解、电脑操作。
DeepSeek Harness 用户记忆插件:跨会话保存原则、偏好与工作方式,按 token 预算注入。DSH memory plugin for persistent user preferences, explainable memories and budgeted prompt injection.