Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for infrastructure teams that want a dedicated sandbox layer for agent workloads and coding assistants before those workloads touch broader internal systems.
Who should use it
Who should skip it
Skip agenttier/agenttier if the source repository or demo is inactive, unmaintained, or no longer matches the description shown here.
About this signal
agenttier/agenttier is tracked by RepoRadar as a developer tool in the Agent Infrastructure section. It was first seen on 2026-07-01 and last updated on 2026-07-01. The current verdict is 'worth watch' with a Silver tier and advanced setup difficulty. The standout signals for agenttier/agenttier are open-source/build quality (8.4) and workflow potential (8.4), while setup ease (4.2) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned agenttier/agenttier a composite score of 7.6 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
It is an execution surface for agents and coding assistants, so misconfiguration can still expose cluster resources or let risky workloads run with too much access; The setup targets Kubernetes operators rather than casual users, which raises the adoption bar and makes it better suited to staged evaluation than immediate broad rollout.