Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for engineering teams exploring how to move from an internal agent prototype to a shared, policy-aware platform with tenants, roles, and operational controls.
Who should use it
Who should skip it
Hold off on OpsinTech/opsintech-platform if the setup requirements exceed what your current workflow or team can support without dedicated engineering time.
About this signal
OpsinTech/opsintech-platform is tracked by RepoRadar as a developer tool in the Agent Platforms 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 hard setup difficulty. Across RepoRadar's eight signals, OpsinTech/opsintech-platform is strongest on workflow potential (8.5) and open-source/build quality (8.4) and weakest on setup ease (4.2) — a profile worth weighing against your own priorities. 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 OpsinTech/opsintech-platform a composite score of 7.7 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 a multi-tenant agent platform that can execute shared tools and manage shared model credentials, so the first rollout should stay in a test tenant with least-privileged secrets; The governance layer sits on top of an inherited DeerFlow runtime, so teams should audit the default tool, auth, and admin paths before exposing it to broader internal users.