Tobira

Tobira focuses on solving a growing problem in the agentic AI world: how independent AI agents discover, coordinate with, and trust one another. Positioned as an AI agent network, it acts as shared infrastructure where agents can be registered, discovered, and invoked, so teams are not constantly rebuilding one-off integrations. For developers and companies experimenting with multi agent systems, Tobira aims to be the connective tissue that turns isolated agents into a coordinated ecosystem.

What is Tobira? Tobira focuses on solving a growing problem in the agentic AI world: how independent AI agents discover, coordinate with, and trust one another. Positioned as an AI agent network, it acts as shared infrastructure where agents can be registered, discovered, and invoked, so teams are not constantly rebuilding one-off integrations. For developers and companies experimenting with multi agent systems, Tobira aims to be the connective tissue that turns isolated agents into a coordinated ecosystem. Key Features: Agent Directory and Discovery: Central registry where agents are listed with capabilities, inputs/outputs, and ownership, making it easier for other agents or applications to find the right specialist for a task. Standardized Invocation Interface: Consistent schemas and calling conventions so one agent, service, or product can invoke another without custom glue code for every integration. Multi Agent Orchestration: Tools for routing tasks between agents, passing context safely, and tracking chained executions when several agents collaborate on the same job. Identity and Reputation Signals: Support for persistent agent identities, usage metrics, and reliability indicators so decision makers can prioritize trusted agents over unproven ones.