Phinite AI

Phinite is an infrastructure platform for multi-agent AI systems. It treats agents as first-class citizens, meaning each agent has a clear identity, version, and owner rather than being buried in code. Enterprises use it to design, govern, and scale complex AI workforces in any cloud, with the stated aim of avoiding vendor lock-in. It covers the whole lifecycle: registry management for identity and permissions, skill management to expose reusable capabilities, and lifecycle tools for version control, rollback, and behavior testing. Observability adds traces, reliability scoring, and cost attribution, while governance provides permissions, audit, and compliance.

- Register agents with unique IDs, versions, and owner permissions.

- Expose agent skills as reusable interfaces for other systems.

- Build and connect agents in a developer studio with 600+ pre-built tools.

- Deploy to isolated dev, UAT, and production environments and monitor cost and reliability.

- AI developers building and scaling production agents.

- Enterprise developers who need environment isolation and compliance.

- Executive leaders who must track cost, governance, and reliability.

Plans are listed at $20 and $100 per month, and Enterprise requires contact pricing, subject to change, so confirm costs. It is enterprise-focused, so small projects may find it heavy and slow to adopt. Running multi-agent systems still needs real engineering skill, not just a console. Expect time to set up governance and environments before agents are truly production-ready. For team use, agree on naming and editing conventions in advance to avoid version conflicts or duplicated work. Name and archive exported files consistently so you can find and reuse them, and keep a backup copy of key data.