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Market/Categories/Developer & AI Platform/Orloj

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Orlojorloj.dev

Orloj review: compare features, pricing, use cases, access model, and alternatives for this AI Agents Platform agent in 2026. Declarative agent infrastructure as code for multi-agent AI orchestration

Developer & AI Platformorloj.devTracked since 2026-08-211 discovery source
88Backlinks
16Referring domains
6Domain authority
+300%Referring domains · 90 days

Authority & distribution

How strong is Orloj’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

88Current snapshot

Referring domains

16Current snapshot

Authority

6Domain authority · category median 22

90-day move

+300%Referring domains, last 90 days
At 6, Orloj sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 129 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

AI referral visibility

Which AI assistants are already sending Orloj traffic?

Measured · Pro

Measured for this product: AI referral traffic.

Unlock this profileOpen the full profile

Product profile

What Orloj is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Orloj”

Orloj review: compare features, pricing, use cases, access model, and alternatives for this AI Agents Platform agent in 2026. Declarative agent infrastructure as code for multi-agent AI orchestration

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://orloj.dev?utm_source=aiagentsdirectory&utm_medium=affiliate&utm_campaign=aiagentsdirectory

Observed across 1 discovery source.

Research questions

What the evidence answers about Orloj.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What features does Orloj offer?

Orloj offers YAML-defined workflows, policies, and DAG graphs. It provides tool execution in isolated containers with image pins, CLI apply/rollback, lease-based scheduling with retries and dead-letter handling, and full task trace and message lifecycle logging for auditability.

How is Orloj priced or packaged?

Orloj is an open-source project that users can access and clone directly from its GitHub repository. There is no pricing information mentioned in the available evidence.

What is Orloj and what problem does it solve?

Orloj is an open-source orchestration runtime for multi-agent AI systems that defines agents, tools, policies, and workflows in YAML. It solves the problem of governing production agents by enforcing runtime constraints as policy, not convention, providing tool boundaries, cost controls, and failure handling.

What is Orloj used for and in what situations?

Orloj is used for defining and running governed multi-agent AI systems in production. It is for situations where prototypes need to become reliable production systems, replacing bespoke glue code with declarative YAML workflows, isolated tool execution, and fail-closed governance.

Who is Orloj for?

Orloj is for developers who build and operate AI agent systems, particularly those who need to move from prototype to production. It is categorized as a developer and AI platform tool.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Orloj intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 129.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured