Bloome:基于共享上下文的多人-AI 协作系统

Rohan Paul · @rohanpaul_ai · X·2026-07-04 01:56·60天前
AI 导读

Bloome 是一个人类–AI 队友系统,核心是共享上下文与多智能体协作。人类提出任务后,Claude、ChatGPT、Deepseek 在同一个对话中分别负责起草、质疑逻辑和改进漏洞,共同得出答案。其记忆机制采用“个人笔记”(per-person notes),让每个智能体记住自己的偏好与历史而不混淆。系统宣称上下文从输入到输出始终连续,从而解决传统 AI 工作流在交接时信息断裂的问题。核心观点:更好的 AI 协作不依赖更聪明的单个模型,而在于保存共享上下文即判断发生的场域。

Rohan Paul@rohanpaul_ai
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Bloome:基于共享上下文的多人-AI 协作系统

2026-07-04 01:56· 60天前
AI 导读

Bloome 是一个人类–AI 队友系统,核心是共享上下文与多智能体协作。人类提出任务后,Claude、ChatGPT、Deepseek 在同一个对话中分别负责起草、质疑逻辑和改进漏洞,共同得出答案。其记忆机制采用“个人笔记”(per-person notes),让每个智能体记住自己的偏好与历史而不混淆。系统宣称上下文从输入到输出始终连续,从而解决传统 AI 工作流在交接时信息断裂的问题。核心观点:更好的 AI 协作不依赖更聪明的单个模型,而在于保存共享上下文即判断发生的场域。

Most AI workflows still break at the handoff, because one tool drafts, another reviews, and the human keeps rebuilding context between steps.

Bloome tries to remove that fracture by letting Claude, ChatGPT, Deepseek, and human users work inside the same conversation.

A human brings the task, while different AI agents draft, question, and improve the answer together.

This means one agent can write, another can test the logic, and another can refine gaps.

The bigger problem is memory, because group AI must know who each fact belongs to.

Its mechanism is per-person notes, so agents recall preferences, history, and tasks without mixing people up.

The system’s main claim is that context stays connected from the first input to the final output.

The conversation becomes the operating surface for work itself.

Bloome’s strongest idea is that better AI collaboration may depend less on smarter individual agents and more on preserving the shared context where judgment actually happens.

BloomeIntroducing Bloome: a human–AI teammate system built around shared context and multi-agent collaboration. → You bring your task, and AI teammates collaborate wi...

来源:Rohan Paul· x.com