Space ChatGPT Plugins
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Last reviewed
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v2 · 2,421 words
Add missing citations, update stale details, or suggest a clearer explanation.
Space ChatGPT plugins were a group of third-party tools that extended ChatGPT with the ability to fetch astronomical imagery, track the International Space Station, retrieve Mars rover photographs, query near-Earth object data, and surface educational content from public space agency archives. The group was active from the launch of the plugin system on March 23, 2023, until OpenAI shut the runtime down on April 9, 2024. During those twelve and a half months, space-themed plugins formed a small but unusually photogenic corner of the store. Most of them wrapped a single public NASA endpoint and turned it into something a large language model could call without needing the user to manage API keys or read JSON.
This article is a historical reference. The plugins listed below can no longer be installed or invoked through the original plugin runtime. Some of the underlying APIs they wrapped, such as NASA's Astronomy Picture of the Day feed and the Mars Rover Photos endpoint, are still publicly available, and several of the developers later rebuilt their tools as Custom GPTs inside the GPT Store.
OpenAI did not publish an official taxonomy for the plugin store. The boundary between space and adjacent groupings such as science, education, and data was loose, and aggregator sites that catalogued the store applied their own labels. In practice, a plugin was placed in the space category when its primary purpose was one of the following:
The same tools often appeared in the science ChatGPT plugins listings as well, because retrieval of curated scientific data was the dominant pattern in both groups. The space framing leaned toward visual content and live mission data rather than peer-reviewed literature or symbolic mathematics. For context on how the broader store was organized, see ChatGPT plugin categories.
| Date | Event |
|---|---|
| March 23, 2023 | OpenAI announces the ChatGPT plugin system with twelve initial partners. None of the inaugural plugins focus on space, but the manifest format and OpenAPI specification published that day become the basis for every later space plugin.[1] |
| April 13, 2023 | Marcelo Arias publishes a developer tutorial on Dev.to documenting how he built Astrodaily, an early NASA image plugin, on the Autocode platform.[2] |
| May 12, 2023 | OpenAI opens the plugin store to all ChatGPT Plus subscribers. Space-themed plugins begin to appear in the public catalogue over the following weeks.[3] |
| June 20, 2023 | A wave of space plugins is listed on third-party aggregators, including Astrodaily, Space Photo Explorer, NASA Media Explorer, ISS Location, and Space Server.[4][5][6][7][8] |
| June 28, 2023 | The Space plugin by ptcapo is listed, bundling roughly nineteen NASA-derived endpoints into a single tool.[9] |
| September 7, 2023 | Asteroid Alert by Kesha Williams appears, focused on near-Earth object counts and threat assessment.[10] |
| November 6, 2023 | OpenAI announces Custom GPTs at DevDay, beginning the migration away from plugins.[11] |
| January 10, 2024 | The GPT Store opens. Several space plugin developers begin porting their tools to GPT actions. |
| March 19, 2024 | OpenAI closes the plugin store and disables the creation of new plugin conversations.[12] |
| April 9, 2024 | The runtime is fully shut down; existing plugin conversations stop working. The space category ceases to exist as a live system. |
The space group was always small in absolute numbers. Aggregator catalogues from mid 2023 typically listed six to ten plugins under labels such as Space, Astronomy, or NASA. Three reasons explain why the group never grew larger.
First, the underlying data was concentrated in a small set of public APIs. NASA's Open APIs portal, the Astronomy Picture of the Day feed, the Mars Rover Photos endpoint, the NASA Image and Video Library, and the SSD/CNEOS near-Earth object database accounted for most of what space plugins exposed. A second or third plugin wrapping the same APIs added little for users, so the category clustered around a few well-known endpoints rather than spreading out across many independent data sources.
Second, the plugins were free, non-commercial, and educational by nature. Unlike travel or shopping plugins, which had clear revenue models tied to bookings or referrals, space plugins were generally hobbyist projects or developer demos. They tended to be built by individual developers as portfolio pieces or tutorials, and their authors had little economic reason to keep iterating once the novelty of the launch passed.
Third, the plugin runtime imposed limits that made richer space applications difficult. Plugins received and returned text, with images surfaced as Markdown links to public URLs. Real-time three-dimensional visualization, sky maps tied to a user's coordinates, and interactive star charts were impractical inside the chat surface. The plugins that survived were the ones that mapped cleanly onto the text-plus-image pattern: retrieve a picture, retrieve a coordinate, retrieve a count.
The following plugins were documented on at least two independent third-party aggregator sites or developer publications during the active period of the plugin store. The list is not exhaustive of every space-themed plugin that ever passed OpenAI's review, because the official catalogue was not preserved after April 9, 2024, but it covers the tools that received sustained coverage.
| Plugin | Developer | Listed | Primary APIs | Headline features |
|---|---|---|---|---|
| Astrodaily | Marcelo Arias | June 2023 | NASA APOD, NASA Image and Video Library | Daily Astronomy Picture of the Day, keyword image search, results returned as Markdown so images render inline.[2][4] |
| Space Photo Explorer | Nikk Mitchell | June 20, 2023 | NASA APOD, NASA Image Library, Mars Rover Photos | Date-filtered APOD lookup, NASA image search, Mars rover photos by sol, camera, and Earth date, with the Curiosity rover as the default.[5] |
| NASA Media Explorer | spacemediaexplorer.com team | June 20, 2023 | NASA Image and Video Library | Free-text searchMedia command and a getAsset command for retrieving full manifests for a NASA media identifier; supports images and videos.[6] |
| ISS Location | Laura Apenza | June 20, 2023 | Open Notify ISS Now, Open Notify Astros | getCurrentCoordinates returns the live latitude and longitude of the International Space Station; getCurrentAstronauts returns the names of the people currently in orbit.[7] |
| Space Server | Nabil Brag | June 20, 2023 | NASA Technology Transfer, InSight Mars Weather, SSD/CNEOS, NASA Mars Rover Photos, NASA Image and Video Library | Five commands covering technology transfer search, Mars weather data, near-Earth object queries, recent Mars rover photographs, and image and video library access.[8] |
| Space (ptcapo) | ptcapo | June 28, 2023 | NASA APIs, Open Notify, NOAA space weather feeds | The largest space plugin by surface area, with roughly nineteen commands covering ISS location, astronauts, Mars weather, APOD, near-Earth asteroids, solar flares, coronal mass ejections, geomagnetic storms, planetary data, and natural event alerts.[9] |
| Asteroid Alert | Kesha Williams | September 7, 2023 | NASA Near-Earth Object Web Service | A small plugin with two commands. One returns the count of asteroids currently approaching Earth; the other returns whether any of those asteroids meet NASA's potentially hazardous criteria.[10] |
Several other plugins were occasionally tagged as space on individual aggregator sites but appeared only in single listings, lacked verifiable developer information, or wrapped data sources that no longer respond. Those entries are omitted from the table because they cannot be cross-checked.
A plugin was a specification, not a model. The work of understanding the user's question, deciding which plugin to call, and explaining the response all happened inside GPT-4. Each space plugin published an OpenAPI specification listing its commands and an ai-plugin.json manifest with a name, a logo, and a short description that the model could use to decide when invocation was appropriate.
A typical session with Space Photo Explorer ran like this. The user asked for the latest photographs from the Curiosity rover. The model recognised that the request matched the plugin's Mars rover command, called the endpoint with default parameters, received a list of image URLs and metadata in JSON, and produced a chat reply that embedded the images as Markdown along with a short caption. The user could then refine the request, switching to the Perseverance rover or asking for a specific sol, and the model would issue follow-up calls.
Astrodaily and NASA Media Explorer worked the same way for the image and video library. The user asked for galaxies, supernovae, the James Webb Space Telescope, or any other topic, the model issued a search query, and a handful of public URLs came back along with their captions. Because the responses were Markdown, the images rendered inline in the chat surface.
ISS Location produced a different shape of result. Instead of imagery, the user asked where the station was right now or who was on board, and the plugin returned a coordinate pair or a list of astronauts pulled from the long-running Open Notify service. Asteroid Alert and the near-Earth object commands inside Space Server and Space sat at the more dramatic end. The user asked how many asteroids were heading toward Earth or whether any of them were dangerous, and the plugin answered with a count and a yes-or-no flag derived from NASA's classification of potentially hazardous objects.
When Custom GPTs launched in November 2023, the migration path for space plugins was straightforward. A plugin's existing OpenAPI specification could be uploaded as an action inside a custom GPT with very few changes, and the manifest's natural-language description translated cleanly into the GPT's instructions. Several developers rebuilt their plugins as GPTs during the transition window, and the GPT Store eventually accumulated a much larger collection of space-themed tools than the plugin store ever held.
The trade-offs of the move were real. GPTs gave space tools a richer surface, including memory, file uploads, and image generation, and the GPT Store offered better discovery than the plugin store ever did. Against that, GPT actions could only be created by paying ChatGPT Plus subscribers, and the publication process required ownership verification of the API domain. Some of the smallest plugin authors, who had built their tool as a one-evening hack, did not bother to make the transition. Their tools simply went dark on April 9, 2024.
A related shift was that GPTs blurred the boundary between a plugin and a piece of prompt engineering. Many of the post-shutdown space tools in the GPT Store were thin wrappers around the same NASA APIs but added richer instructions, persona, and pre-built prompt templates. The plugin era treated the model's instructions as a separate layer, hidden from the developer; the GPT era folded those instructions into the tool itself.
Space plugins were popular as demonstrations and rarely as workhorses. Reviewers and bloggers used them to illustrate what the new plugin system could do, often pairing a request for the day's APOD with a follow-up question that the model answered without needing the plugin. Astronomy enthusiasts on community forums pointed out that the plugins did not replace dedicated tools such as Stellarium or NASA's own apps for serious work, but they did make casual exploration faster.
Known limitations of the space category mirrored the limits of the plugin runtime as a whole.
None of these limitations were unique to the space category, but they constrained the kinds of experiences that could be built. The category was therefore dominated by lookup tools rather than experiences.
The space category disappeared as a runtime on April 9, 2024, but its legacy is visible in two places. First, the OpenAPI-and-manifest pattern that the plugins used became the foundation of GPT actions, and the same pattern was adopted by competing assistant platforms. Second, the plugins were many users' first practical encounter with NASA's open APIs. The APOD feed, the Mars Rover Photos endpoint, and the Image and Video Library all saw upticks in third-party traffic during the plugin era, and several of the original plugin authors went on to build standalone web applications or successor GPTs around the same endpoints. The plugins did not produce new astronomy data; they produced new ways for non-specialists to ask questions of existing data.
See also: ChatGPT Plugins, ChatGPT Plugin Categories and Space