AgenticComm
What happens when AI agents coordinate through structured channels with typed messages, acknowledgments, and replayable history in one portable file?
End-to-end: multi-agent feature pipeline
A team of three agents needs to coordinate building a feature: a planner breaks down work, a developer implements, and a reviewer validates. Without AgenticComm, they pass files around with no structure. With it, every handoff flows through named channels with typed messages.
Channel setup
The planner creates three channels: "task-queue" for work items, "review-queue" for completed work, and "status" for broadcasts. Each agent subscribes to its input channel. Setup takes 0.08 ms total.
Task delegation
The planner sends three task messages to "task-queue": build the login form, add validation, write tests. Each message includes context, acceptance criteria, and priority. The developer receives all three in 0.01 ms.
Work handoff
As the developer completes each task, it sends a completion message to "review-queue" with the implementation summary. The reviewer picks up each item, validates, and sends feedback. All handoffs are ordered and searchable.
Status broadcasting
On completion, the reviewer broadcasts "Feature complete: all 3 tasks implemented and approved" to all channels. Every agent sees the final status. The entire communication history is preserved in a single .acomm file.
Pipeline complete → Channels: 3 (task-queue, review-queue, status). Messages: 12 total. Subscriptions: 3. Total coordination time: 0.15 ms. Full history searchable. Artifact: agents.acomm (4.2 KB).
In plain terms
This is the difference between agents that pass unstructured text files around hoping the other agent reads them, and agents that communicate through named channels with ordered messages, subscriptions, search, and broadcast — all in one portable file. AgenticComm turns ad-hoc agent coordination into structured, searchable, replayable communication.