Centralizing AI Agent Workflows with Bloome
Lukas Margeriego watch the original →
the gist
Bloome acts as a group-chat interface that consolidates multiple AI models and local coding agents like Claude Code and Codex into a single workspace, enabling cross-agent collaboration without manual context copying.
Unified Agent Collaboration
Bloome functions as a multi-agent orchestration layer that allows users to group disparate AI models and local coding agents into a single chat interface. By treating agents like members of a WhatsApp group, users can facilitate hand-offs between specialized roles—such as product managers, designers, and engineers—without manually transferring context between separate browser tabs or subscription silos. The platform supports adding live local sessions, such as Claude Code or Codex, directly into these group chats, allowing the agents to access shared project history and collaborate on tasks like website design and data analysis.
Integrating Local Development Environments
The primary utility for developers is the ability to connect local coding agents to the Bloome desktop application. When creating a new agent, the platform detects installed local tools and allows the user to inherit existing project memories. This ensures that the agent retains context from previous work, such as specific coding projects or technical documentation. Once connected, users can create group chats that combine these local coding agents with pre-built specialized agents, enabling the local agent to brief the team on project requirements while the other agents execute design or planning tasks based on that shared technical context.