Hyperspace
An AI project centered on agent operating systems and in-depth research capabilities, with the official website slogan "The Place for Agent Work", has released system scores on the DRACO benchmark, reproducible operation methods, and an open letter from 2023 to 2026.
Updated: 2026-10-30
What is Hyperspace?
Hyperspace is an AI project centered on an agent operating system and in-depth research capabilities. The official homepage features only one slogan: "The place where agents work," and it notes that it is publicly built. The website has three entrances: the Super Intelligence Benchmark Station, an open letter, and a changelog. Its core publicly disclosed content is an agent framework named AgenticOS and an in-depth research benchmark report card named DRACO. The official emphasizes that the results are reproducible and the answers are publicly available in their original form, and it has also released open letters for the years 2023 to 2026.
Who is it for?
- Researchers and engineers who are concerned about the evaluation of agent systems and in-depth research capabilities.
- Model teams that want to reproduce public benchmarks and compare the performance of their own systems.
- Technical investors or observers tracking the open-weight and decentralized inference directions.
- Knowledge workers who need ideas for automating long-cycle research tasks.
- Teams developing similar in-depth research products who want to find public reference baselines for self-calibration.
Key features
6Agent Operating System
Officially named AgenticOS, it adopts a two-stage process of drafting, multi-person review, and then verification and completion, and the official website states that it consumes approximately twice the computing power.
Deep Research Benchmark
Officially, DRACO consists of 25 long-cycle agent research tasks, scored according to weighted binary scoring criteria, covering factual accuracy, breadth and depth, as well as presentation and citation quality.
Public Leaderboard
The official website publicly displays the scores of different systems and single-model systems on the same benchmark, and indicates the main evaluation model and the cross-review model.
Open-weight approach
The official public letter lists open weights as one of the main propositions, and the leaderboard also includes multiple sets of open-source weight systems.
Local and Edge Tiers
The official website lists tiers that can run on local devices, as well as configuration combinations with low or even zero costs.
Reproducible and Verifiable
The official stated that all three tiers are released with command-line tools, allowing users to run the same configurations to verify results, and all answers on the page are produced as-is.
How to use Hyperspace
- 1Treat the official website's leaderboard as results under a single benchmark, and the official also clearly states that the conclusions are limited to this benchmark and these baselines.
- 2If you really want to make a comparison, run the official tools yourself, which is far more reliable than just looking at the numbers on the leaderboard.
- 3The leaderboard relies on scoring by review models, and the results may change with different review criteria; please indicate the scoring method when citing.
- 4The answers on the page are produced exactly as they are without any editing, as stated by the official, so be mindful of potential inaccuracies when reading them.
- 5The project's form and entry points may be adjusted; confirm whether the current official website link is still valid before accessing it.
Traffic & popularity
Data month Sep 2026
Hyperspace receives about 5.4K visits per month and ranks #4,698,279 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct40.7%
- Search33.8%
- Referrals10.3%
- Social6.2%
- Mail3.1%
- Other5.9%
Top countries
- United States36.6%
- India13.7%
- Pakistan8.1%
- Turkey8.0%
- Germany7.8%
Estimated from third-party traffic data.
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