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FACTUAL COMPARISON

Orchestration Engines Compared

Every Quox cell was re-checked in source for this build. The Ruflo, CrewAI and LangGraph columns stand as last checked in March 2026 against public documentation and source, not a fresh audit. The band under the table names what was verified and what was not.

In plain words

What it is, where it lives, when to reach for it

What is it
A factual comparison of multi-agent orchestration engines: Quox against Ruflo, CrewAI and LangGraph.
Where do I use it
Right here, in one feature-by-feature table covering the four engines.
When would I use it
When you are choosing an orchestration engine and want the differences stated without marketing.
How do I use it
Read the table, then the verification band beneath it, which says how each claim was checked.
FeatureQuoxRufloCrewAILangGraph
Topology selection
4 modes (star, hierarchical, pipeline, mesh)
4 modes (YAML)
Sequential or hierarchical only
Custom (code-defined)
Agent count (shipped)
49 audited agent personas
5 real, ~60 templates
Custom only
Custom only
Learning router
Epsilon-greedy with composite scoring
Q-learning (partial)
None
None
Crash recovery
Orphan reaper + startup recovery
Session files only
None
Temporal-style durable execution
Circuit breaker
Policy-driven, escalates to human
None
None
None
Fallback routing
Domain-aware agent substitution
None
None
None
Human-in-the-loop
Checkpoints, inbox, approval gates
None
None
Interrupt nodes
Evidence trail
AEE envelopes + VOLT evidence chains
None
None
None
Structured output
JSON Schema validation + guided retry
None
Pydantic contracts
None
Policy governance
Per-team policies (retry, budget, timeout)
None
None
None
Shared team context
Auto-updated after each task
Agent memory (basic)
Shared memory
State graph
Scheduling
Cron with overlap prevention + timezone
Cron (basic)
None
None
Test coverage
314+ tests
~75
Varies
Varies
Self-hosted
Docker Compose
npm install
pip install
pip install (+ LangGraph Cloud)

Last updated March 2026. Ruflo data from public repo + docs. CrewAI from v0.x docs. LangGraph from LangChain docs.

Where these numbers come from

  • The agent-count row now resolves from the site's facts module rather than a typed cell: 49 is the audited persona population, its definition and its known defects are recorded in src/content/facts/facts.json, and the row cannot drift from the rest of the site again. It has previously read 25 and 37 while other pages read 32, 22 and 19
  • Topology (4 modes), the epsilon-greedy learning router, the default 3-failure circuit breaker, domain-aware fallback routing, cron overlap prevention + timezone support, and the JSON Schema output validator were all confirmed present in source this session
  • Not every Quox cell above is equally mature: budgets and HITL are Beta with named gaps in the dashboard’s own status docs (see the Agentic Teams honest band below the fold on that page), a single checkmark here does not mean production-hardened
  • Ruflo, CrewAI and LangGraph cells were not re-verified this session: this environment has no live web access, so those columns stand as last checked (March 2026) against public docs and source, not a fresh audit