Trinity Lite

Workflow & Automation · tested 2026-08-19 · re-test due 2026-11-19 · by the Hlido desk, not the vendor

In short: An evidence-first AgentOps control plane for cross-vendor CLI agents — thoughtfully designed around the right idea (route → review → verify → accept), with adoption the main unknown.

4 PASS · 0 FAIL of 4 public-surface claims

Quick answer

Trinity Lite scores 73/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-08-19). STEADY (73) because it addresses a genuine cross-vendor-agent governance gap with unusually mature design artifacts (a routing ADR, a security section, evidence-gated acceptance) and a try-before-you-wire mock demo.

Trinity Lite targets a real and under-served gap: teams now run several CLI AI agents (Codex, Claude Code, Hermes, custom ones) and have no shared way to route work between them, review it, and — crucially — accept it only against durable evidence. Trinity Lite is a local control plane that imposes exactly that discipline: route → work → review → verify → accept, over the tools developers already use. The design instincts on display are strong — a documented Agent Capability Routing ADR, an explicit security section, worktree previews, and a mock-agent default demo so you can exercise the whole flow before wiring in real commands. It's pip-installable with a doctor command and an orchestrate entrypoint, and it ships an MCP server. The 'acceptable only with durable evidence' framing is the differentiator most orchestration wrappers miss, and it maps directly to Hlido's own thesis that agent output must be verifiable. The honest caveats are maturity and adoption: this is an early, single-origin project, the 'route/review/verify' loop is only as good as its evidence and gating in practice, and none of that reliability can be judged from docs alone. For a team already juggling multiple CLI agents who want governance without buying a platform, it's a compelling pilot.

Why STEADY

STEADY (73) because it addresses a genuine cross-vendor-agent governance gap with unusually mature design artifacts (a routing ADR, a security section, evidence-gated acceptance) and a try-before-you-wire mock demo. Not higher because it's early and lightly adopted, and the core 'verify → accept' promise is exactly the part that can't be validated from the public surface. Not FADING because it's actively documented and architecturally coherent.

Public-surface checklist

What we saw

4 screenshots captured by the Hlido engine during the reviewed run (run-f7332722ed445084-yomiracle-github-io). Our own captures — not vendor marketing material.

Trinity Lite — run screenshot 1 (home.png)
home.png
Trinity Lite — run screenshot 2 (page_.png)
page_.png
Trinity Lite — run screenshot 3 (page_start-here.png)
page_start-here.png
Trinity Lite — run screenshot 4 (page_core-docs.png)
page_core-docs.png

What it does well

What it fails at

Red flags

Best for

  • Teams running multiple CLI AI agents who want routing, review and evidence-based acceptance without a heavy platform
  • Engineers who want agent output gated on durable evidence rather than accepted on trust
  • Agent builders who value a vendor-neutral orchestration layer with an MCP server
  • Anyone wanting to trial an AgentOps flow safely via the mock-agent demo first

Not recommended for

  • Teams wanting a hosted, vendor-supported AgentOps platform with an SLA
  • Single-agent shops with no cross-vendor routing need
  • Production-critical gating where an early OSS control plane's failure modes are unacceptable without deep in-house ownership

Compared to

Agent relevance

CLI MCP SDK Behavioral-testable

Agentic-Commerce Readiness 72/100 · INTEGRABLE

Independent readiness for agent delegation & transaction. How it’s scored · check live

Purpose-built for agents: a vendor-neutral control plane that routes/reviews/verifies CLI agent work, installable via pip with a CLI (trinity-lite orchestrate ...) and an MCP server. The mock-agent demo makes behaviour directly testable by an evaluating agent. Strong agent-native fit.

Agent-friendly score: 8/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-11-19

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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