r/MachineLearning · · 1 min read

Phinite — multi-agent OS with first-class agent identity, composable skills, behavioral evaluation [P]

Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.

We spent the last year building what we think is the missing infrastructure layer for multi-agent systems. Open to everyone starting today.

The technical problem:

  1. Agents have no identity. In microservices you have a service mesh + IAM. In agent systems you have a Python file. We built a registry where every agent has a first-class ID, version, owner, skill graph.

  2. Behavioral evaluation, not function testing. Agents are non-deterministic same input can produce different execution paths. Traditional unit tests don't work. We implemented compound reliability scoring + behavioral regression instead.

  3. Composability without rebuilding. Skills are versioned, reusable, agent-inheritable. Inspired by how Kubernetes operators work, applied to agents.

  4. Cloud-agnostic deployment with built-in observability traces, cost attribution, drift detection.

Model-agnostic. SOC 2 Type II.

Genuinely interested in technical feedback especially on the eval methodology and the composability primitive. Free credits this week to test it.

https://phinite.ai/?utm_source=reddit&utm_medium=organic&utm_campaign=public_launch_jun2026&utm_content=machinelearning

submitted by /u/Embarrassed-Radio319
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