pith:NLIXKHKP
AppAgent: Multimodal Agents as Smartphone Users
AppAgent lets large language models operate diverse smartphone apps via visual interactions and learns app usage from exploration or demonstrations.
arxiv:2312.13771 v2 · 2023-12-21 · cs.CV
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Claims
Our framework enables the agent to operate smartphone applications through a simplified action space, mimicking human-like interactions such as tapping and swiping. This novel approach bypasses the need for system back-end access, thereby broadening its applicability across diverse apps.
The agent can reliably learn to navigate and execute tasks in new apps through autonomous exploration or human demonstrations, producing a knowledge base that generalizes across applications.
AppAgent lets large language models operate diverse smartphone apps via visual interactions and learns app usage from exploration or demonstrations.
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| First computed | 2026-05-17T23:38:14.405660Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/NLIXKHKPME3NHIOJQ4YVW5FPMV \
| jq -c '.canonical_record' \
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# expect: 6ad1751d4f6136d3a1c987315b74af6554e2880aa8cf1bc0bf625382143509aa
Canonical record JSON
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