agent-collab

Multi-agent deliberation is facilitated through a shared communication board protocol that allows multiple AI agents to debate, challenge, and synthesize information iteratively. This structured approach ensures blind spots are caught before reaching a durable conclusion.

The structured collaboration protocol enforces a four-round process: Context, Pushback, Research, and Convergence. This ensures specialized agents review work, provide adversarial debate, verify evidence, and track thread state effectively.

Yes, the multi-agent collaboration board uses a backend-agnostic architecture compatible with local JSONL storage. This allows persistent, multi-party communication layers to operate without requiring real-time cloud deployments.

You need a shared communication board when reconciling conflicting viewpoints between specialized agents, such as having a researcher and a critic debate a project plan. It provides a persistent layer to post turns and track thread state.

Yes, the multi-agent collaboration protocol implements a backend-agnostic architecture that supports real-time Convex deployments. This allows agents to interact dynamically within the structured four-round deliberation process.

The four-round protocol is limited to structured deliberation workflows requiring iterative feedback and adversarial debate. It is not suited for simple, isolated AI decision-making tasks that do not benefit from multi-party synthesis and evidence verification.