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