ENT-00001464 · AI Research System

PettingZoo

PettingZoo is a multi-agent reinforcement learning environments associated with Farama Foundation.

Level IV — ConnectedActiveStructured

Human readable record

Overview

PettingZoo is a multi-agent reinforcement learning environments associated with Farama Foundation. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Timeline

2020PettingZoo public release or documentation
PettingZoo appears in public documentation as a multi-agent reinforcement learning environments associated with Farama Foundation.

Capabilities

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Known limitations

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.

Technical and registry detail

Technical description

Structured record for PettingZoo. The technical layer captures creator, release period, source anchor, system category, capability profile, limitations and relationships to adjacent models, platforms, benchmarks or research systems.

Controlled tags

AI Research SystemDocumented EntityContemporaryBatch 03 Candidate

Relationship graph

PettingZoo

Created or maintained byFarama Foundation

PettingZoo is associated with Farama Foundation.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "identifier": "ENT-00001464",
    "name": "PettingZoo",
    "alternateName": [],
    "additionalType": "AI Research System",
    "description": "PettingZoo is a multi-agent reinforcement learning environments associated with Farama Foundation.",
    "creator": "Farama Foundation",
    "url": "entity.php?id=ENT-00001464",
    "sameAs": "https://pettingzoo.farama.org/",
    "lxkeysWorld": {
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        "organization": "Farama Foundation",
        "originContext": "AI model, architecture and research record",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
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        "lxCalendarium": {
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            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
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        },
        "capabilities": [
            "Documented AI capability",
            "Research or product source anchor",
            "Model or system lineage",
            "Relationship mapping"
        ],
        "limitations": [
            "Capabilities depend on version, training data, deployment configuration and evaluation setting.",
            "The record documents public identity and source context rather than private implementation details."
        ],
        "tags": [
            "AI Research System",
            "Documented Entity",
            "Contemporary",
            "Batch 03 Candidate"
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        "timeline": [
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}

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