MA
ENT-00001856 · AI Framework

ManiSkill

ManiSkill is a AI software framework associated with Research community, classified in LXKeys.world as Robotics / Embodied AI Framework.

Level IV ConnectedActiveDocumented
Human record

Overview

ManiSkill is an embodied AI or robotic system associated with Research community. The record focuses on physical interaction, sensing, autonomy, operational context and the relationship between machine intelligence and material action.

Timeline

  1. 2021Initial public software release

    ManiSkill entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Reinforcement learningEmbodied evaluationResearch reference

Known limitations

Capabilities depend on software version, runtime environment, optional integrations and supported backends.API stability, maintenance status and compatibility can change over time.The framework does not by itself guarantee the quality, safety or performance of models built with it.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for ManiSkill. Entity type: AI Framework; classification: Robotics / Embodied AI Framework; creator/organization context: ManiSkill Team. Canonical source anchor: https://maniskill.readthedocs.io/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

RoboticsBenchmarkAgentic Systems
Relationship graph

ManiSkill

Open in full graph
ManiSkill
Associated organizationOutgoing
Research community

ManiSkill is associated with Research community through its documented source context.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001856",
    "name": "ManiSkill",
    "alternateName": [],
    "additionalType": {
        "category": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ManiSkill is a AI software framework associated with Research community, classified in LXKeys.world as Robotics / Embodied AI Framework.",
    "creator": "ManiSkill Team",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001856&lang=en",
    "sameAs": "https://maniskill.readthedocs.io/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001856",
        "kind": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "classification": "Robotics / Embodied AI Framework",
        "organization": "Research community",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Reinforcement learning",
            "Embodied evaluation",
            "Research reference"
        ],
        "limitations": [
            "Capabilities depend on software version, runtime environment, optional integrations and supported backends.",
            "API stability, maintenance status and compatibility can change over time.",
            "The framework does not by itself guarantee the quality, safety or performance of models built with it."
        ],
        "tags": [
            "Robotics",
            "Benchmark",
            "Agentic Systems"
        ],
        "timeline": [
            {
                "date": "2021",
                "title": "Initial public software release",
                "description": "ManiSkill entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://maniskill.readthedocs.io/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Research community",
                "type": "Associated organization",
                "description": "ManiSkill is associated with Research community through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official project page or repository",
                "url": "https://maniskill.readthedocs.io/",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Proofs

Contribute to this record

Submit a source, correction or comment. Public changes remain moderated.

Submit proof or comment

Approved comments

No approved public comment yet.