The language your AI agents speak to each other — structured, unambiguous, and designed for machine-speed coordination.
An agent communication protocol is the standardized language and method AI agents use to share information, hand off tasks, and coordinate actions across an AI workforce.
An agent communication protocol defines how AI agents exchange information within an AI workforce — specifying message formats, semantic conventions, handoff procedures, and context-sharing mechanisms that enable agents to collaborate without ambiguity. Just as human teams rely on shared language and communication norms (meetings, emails, status updates), AI agents require structured protocols to pass tasks, share findings, escalate issues, and maintain shared situational awareness across the digital workforce.
Agent communication protocols are the nervous system of an AI workforce. Without them, agents operate in isolation — each doing their own work but unable to collaborate, share insights, or coordinate on complex multi-agent tasks. With well-designed protocols, the AI workforce functions as an integrated system where information flows freely and accurately between agents. Tycoon's agent communication protocol operates on several layers. At the transport layer, agents communicate through secure, authenticated API channels with guaranteed message delivery and ordering. At the semantic layer, messages follow structured schemas that make intent unambiguous — a task handoff message includes the task definition, current state, relevant context, expected deliverable, and deadline in a format that the receiving agent can process deterministically. At the orchestration layer, communication patterns (broadcast, direct message, publish-subscribe, request-response) are selected based on the coordination need. The protocol also includes escalation patterns. When an agent encounters a situation it cannot handle, the escalation message includes not just 'I need help' but the full context: what the agent was trying to accomplish, what it encountered, what it tried, why those attempts failed, and what it believes is needed to resolve the situation. This structured escalation means the receiving human or supervising agent has everything they need to make a decision immediately. Importantly, Tycoon's agent communication protocol is transparent to human supervisors. Every message between agents is logged, searchable, and surfaced in the workforce dashboard. Founders can see the 'conversations' happening across their AI workforce in real time, understand how decisions are being made, and intervene when necessary. This transparency transforms agent communication from a black box into an observable, auditable business process — essential for trust, compliance, and continuous improvement.
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Yes. While Tycoon provides a robust default protocol, you can define custom message types, escalation rules, and communication patterns that match your organizational structure and workflows. Custom protocols are especially valuable for regulated industries with specific communication audit requirements.
The protocol includes rate limiting, priority-based message filtering, and relevance scoring. Agents are not flooded with every message in the system — they receive only communications that are relevant to their current tasks, role, and explicit subscriptions. This prevents the AI equivalent of Slack overload.
Yes. Tycoon's agent communication protocol includes adapters for common business systems — Slack, email, project management tools, CRMs — so agents can both receive triggers from and send outputs to the tools your human team already uses.