geospatial
RingMo-Agent
RingMo vision-language model.
Levelmodel
Classgeospatial
Parametersnot in the notes
Contextnot in the notes
Released28 Jul 2025
Opennessunknown
Runs onnot in the notes
Statusactive
Identity
- Developer
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS)
- Family
- RingMo family
- Released
- 28 Jul 2025 sourcesannouncement page
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- other Multi-platform, multi-modal perception and reasoning from text instructions; RS-VL3M dataset
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image, text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS)national lab, China
Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS)national lab, ChinaModelRingMo-AgentAerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), geospatial
RingMo-AgentAerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), geospatialR&D TopicsEarth Observation Foundation Models
Use CasesSatellite Monitoring (Land Cover, Floods, Forests)Public SectorLand Use and Crop MappingAgricultureUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
BRIN Data Science and Information Research Center (PRSDI)Research, 10 Mar 2026Deployments of these use cases; none names this model.
BRIN Data Science and Information Research Center (PRSDI)Research, 10 Mar 2026Deployments of these use cases; none names this model.Organisations 1
Sources
- RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning arxiv.org https://arxiv.org/abs/2507.20776
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "RingMo-Agent", https://aurion.semai.id/models/aircas-ringmo-agent/, records of October 2026.