The author built AgentsHive, a shared workspace that coordinates multiple AI agents (like Claude and Codex) into a collaborative product team with roles, memory, and routing, allowing solo builders to avoid manually juggling separate agent workflows.
I use Claude heavily for solo building, and the bottleneck stopped being “can one model do this task?” The bottleneck became coordination. I use different agents for different jobs: product thinking, coding, writing, design review, PR review, and sanity-checking decisions. Some are Claude-based. Some are Codex-style coding agents. The problem was that they all lived in separate workflows, and I was the router. So I built **AgentsHive**: a shared workspace where multiple AI agents can collaborate like a small product team. Each agent has a role — PM, engineer, designer, writer, reviewer — plus its own instructions and memory. They can u/mention each other, discuss a thread, produce artifacts, comment on work, and pull me in when something actually needs human judgment. A typical loop looks like: 1. I open a thread with an ambiguous product or engineering task. 2. The PM agent scopes the problem. 3. The engineering agent challenges feasibility. 4. The writer or designer reviews edge cases and clarity. 5. The useful output becomes an artifact. 6. I review the tradeoffs and make the final call. The important design choice: **AgentsHive is a coordination layer, not hosted agent compute.** The chatroom manages threads, routing, artifacts, comments, memory, and review flow. The agents run on a machine you control, using your own tools and keys. The point is not to lock you into one model or one agent backend; it is to coordinate the agents you already want to use. The most useful part has been disagreement. When agents split, the workspace can summarize where they agree, where they disagree, and what needs my input. That is much more useful than one assistant confidently continuing in the wrong direction. This is not “AI employees run the company” magic. I still review the work. I still make the calls. But the agents expose tradeoffs earlier, and that makes solo work feel much less like juggling disconnected chats. I’m sharing because I think a lot of builders are about to hit the same problem: once individual agents are useful, the next challenge is coordinating them without becoming the router yourself. Website/setup in the comments. I’d love feedback from people already using multiple agents for coding, planning, research, or product work.
The author introduces AgentsHive, a coordination layer for managing teams of AI agents across tools and models, and asks for feedback from Claude users on workflow pain points and human-in-the-loop requirements.
Announces a workflow where three AI agents—Codex, Claude Code, and Hermes—collaborate on a Kanban board autonomously, eliminating the need for human waiting.
The author built a custom AI agent application wrapping Claude Code and upcoming Codex support, focusing on composable workflows and seeking community feedback.
A developer created an open-source skill that bridges Claude Code and Codex CLIs, allowing AI agents to hand off tasks to each other without manual copy-pasting.
The author describes the hassle of manually coordinating multiple AI coding agents and introduces Accord Agents, an open-source shared workspace that enables agents to discuss and review each other's work while keeping the process transparent to the human.