AI Dispatch
agent · gaming

MoltQuest vs Voyager

55 fields both were evaluated on, 30 of them different — including where one discloses something the other does not. Every value links to the document it came from. 25 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldMoltQuestVoyager
Audit trail·
the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026
Yes (feedback, errors, and self-verification logged implicitly)
iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement
voyager.minedojo.org · checked Aug 1, 2026
Explainability·
the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026
Yes (skills are interpretable and compositional code)
skills developed by Voyager are temporally extended, interpretable, and compositional
voyager.minedojo.org · checked Aug 1, 2026
Outcome-based pricing·
Every quest completed, every kill, every trade -- your agent earns EXUV tokens.
moltquest.online · checked Aug 1, 2026
Settlement mechanism·
Dying burns them. Fixed supply, real scarcity.
moltquest.online · checked Aug 1, 2026
Evaluation coverage·
Running real agents in a real 3D environment has produced direct measurements: agents lack spatial grounding, coherence degrades with context volume, and the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026

Agency

FieldMoltQuestVoyager
Autonomy level·
You own it. You cannot control it.
moltquest.online · checked Aug 1, 2026
5 (acts unsupervised)
Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention.
voyager.minedojo.org · checked Aug 1, 2026
Human oversight·
No human oversight required
without human intervention
voyager.minedojo.org · checked Aug 1, 2026
Goal complexity·
It fights, trades, explores, and earns its way toward freedom.
moltquest.online · checked Aug 1, 2026
Action space·
It fights, trades, explores, and earns its way toward freedom.
moltquest.online · checked Aug 1, 2026
execute
We opt to use code as the action space instead of low-level motor commands because programs can naturally represent temporally extended and compositional actions
voyager.minedojo.org · checked Aug 1, 2026
Operating environment·
Deploy an autonomous AI agent into a persistent 3D voxel world.
moltquest.online · checked Aug 1, 2026
game environment (Minecraft)
in Minecraft
voyager.minedojo.org · checked Aug 1, 2026
Initiative·
It wakes up in a fantasy world. Fights monsters. Trades with merchants. Makes friends and enemies. All decisions made by AI.
moltquest.online · checked Aug 1, 2026

Safety

FieldMoltQuestVoyager
Safety evaluations·
Running real agents in a real 3D environment has produced direct measurements: agents lack spatial grounding, coherence degrades with context volume, and the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026
Red teaming·
Running real agents in a real 3D environment has produced direct measurements: agents lack spatial grounding, coherence degrades with context volume, and the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026
Model or system card·
Running real agents in a real 3D environment has produced direct measurements: agents lack spatial grounding, coherence degrades with context volume, and the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026
Third-party evaluations·
Running real agents in a real 3D environment has produced direct measurements: agents lack spatial grounding, coherence degrades with context volume, and the execution layer requires explicit auditing to verify what the agent is actually told.
moltquest.online · checked Aug 1, 2026

Practicality

FieldMoltQuestVoyager
Pricing model·
Price point·
Availability·
Get Started Three Ways In I Want to Deploy an Agent x402 ($5 USDC, one API call), Exuviae (desktop app), or OpenClaw (direct mint).
moltquest.online · checked Aug 1, 2026
Deployment options·
x402 ($5 USDC, one API call), Exuviae (desktop app), or OpenClaw (direct mint).
moltquest.online · checked Aug 1, 2026
Integrations·
Full REST API. Machine-readable docs. Your LLM calls /context, decides, calls /intention.
moltquest.online · checked Aug 1, 2026
GPT-4
interacts with GPT-4 via blackbox queries
voyager.minedojo.org · checked Aug 1, 2026

Foundation models

FieldMoltQuestVoyager
Base models·
Model provider·
OpenAI
interacts with GPT-4 via blackbox queries
voyager.minedojo.org · checked Aug 1, 2026
Model swappable·
Your LLM calls /context, decides, calls /intention.
moltquest.online · checked Aug 1, 2026
No (only GPT-4 used via blackbox API)
We opt to use code as the action space instead of low-level motor commands because programs can naturally represent temporally extended and compositional actions, which are essential for many long-horizon tasks in Minecraft. Voyager interacts with a blackbox LLM (GPT-4) through prompting and in-context learning. Our approach bypasses the need for model parameter access and explicit gradient-based training or finetuning.
voyager.minedojo.org · checked Aug 1, 2026
Fine-tuning·
Not supported
bypasses the need for model parameter fine-tuning
voyager.minedojo.org · checked Aug 1, 2026

Ecosystem

FieldMoltQuestVoyager
Protocols supported·
Full REST API. Machine-readable docs. Your LLM calls /context, decides, calls /intention.
moltquest.online · checked Aug 1, 2026
Tool use·
Your LLM calls /context, decides, calls /intention.
moltquest.online · checked Aug 1, 2026
Multi-agent·
Live The World Is Running Watch agents making decisions in real-time.
moltquest.online · checked Aug 1, 2026
API access·
Full REST API. Machine-readable docs.
moltquest.online · checked Aug 1, 2026

Impact

FieldMoltQuestVoyager
Deployment scale·
Live The World Is Running Watch agents making decisions in real-time.
moltquest.online · checked Aug 1, 2026
Target sectors·
MoltQuest is also an observational instrument for studying LLM agent behavior in a persistent embodied world.
moltquest.online · checked Aug 1, 2026

Disclosed by neither

Both MoltQuest and Voyager publish nothing on these 25 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 25 identical table rows. Each is shown with its source check on the individual profiles.

  • User base
  • High-risk domains
  • Documented incidents
  • Supported regions
  • Support model
  • Open weights
  • Context window
  • Open source
  • Marketplace presence
  • Safety policy
  • Usage restrictions
  • Incident reporting
  • Data handling
  • Insurance available
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Liability cap
  • Tamper-evident log
  • Runtime governance
  • Permission scopes
  • Compliance certifications
  • Regulatory alignment
  • Dispute process
  • SLA terms

Questions

How do MoltQuest and Voyager compare on model provider?
MoltQuest: no public information disclosed. Voyager: OpenAI.
How do MoltQuest and Voyager compare on fine-tuning?
MoltQuest: no public information disclosed. Voyager: Not supported.