SW
ENT-00000295 · Agent IA

SWE-agent

SWE-agent is a AI agent associated with Princeton NLP, classified in LXKeys.world as Autonomous / Agentic AI.

Niveau IV ConnectéActifStructured
Fiche publique

Vue d’ensemble

SWE-agent is an agentic AI system or development framework associated with Princeton NLP. The entity is documented for its ability to organize multi-step tasks, operate with tools or code, coordinate workflows and extend language models into action-oriented systems.

Chronologie

  1. 2024Initial public release

    SWE-agent entered the documented public record in 2024. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

task planningtool useworkflow automationsoftware execution support

Limites connues

Agent behavior depends on the underlying model, tool permissions, execution environment and user-defined constraints.Autonomous actions may require confirmation and should be monitored where external systems or consequential changes are involved.Capabilities and reliability can vary significantly across versions and integrations.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for SWE-agent. Entity type: AI Agent; classification: Autonomous / Agentic AI; creator/organization context: Princeton NLP. Canonical source anchor: https://github.com/SWE-agent/SWE-agent. 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.

Tags contrôlés

AgentWorkflowCodingAgentic System
Graphe relationnel

SWE-agent

Ouvrir dans le graphe complet
SWE-agent
Contexte organisationnelSortante
Princeton NLP

Princeton NLP is the primary organization or public context associated with SWE-agent.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000295",
    "name": "SWE-agent",
    "alternateName": [],
    "additionalType": {
        "category": "Agents",
        "type": "AI Agent",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "SWE-agent is a AI agent associated with Princeton NLP, classified in LXKeys.world as Autonomous / Agentic AI.",
    "creator": "Princeton NLP",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000295&lang=fr",
    "sameAs": "https://github.com/SWE-agent/SWE-agent",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000295",
        "kind": "Agents",
        "type": "AI Agent",
        "subtype": "",
        "classification": "Autonomous / Agentic AI",
        "organization": "Princeton NLP",
        "originContext": "Public AI and cultural record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "documentationStatus": "Structured",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T00:00:00+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T00:00:00+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "task planning",
            "tool use",
            "workflow automation",
            "software execution support"
        ],
        "limitations": [
            "Agent behavior depends on the underlying model, tool permissions, execution environment and user-defined constraints.",
            "Autonomous actions may require confirmation and should be monitored where external systems or consequential changes are involved.",
            "Capabilities and reliability can vary significantly across versions and integrations."
        ],
        "tags": [
            "Agent",
            "Workflow",
            "Coding",
            "Agentic System"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "Initial public release",
                "description": "SWE-agent entered the documented public record in 2024. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/SWE-agent/SWE-agent",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Princeton NLP",
                "type": "Organization Context",
                "description": "Princeton NLP is the primary organization or public context associated with SWE-agent.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "SWE-agent official/reference source",
                "url": "https://github.com/SWE-agent/SWE-agent",
                "source_type": "Official Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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