Status basis: npm_downloads_7d momentum fell to 2 per 3d from 34 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 2 per 3d from 34 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 6 per 3d from 33 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 6 per 3d from 33 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 34 in the last 3d vs 5 in the 3d before (ratio 6.8x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 6 per 3d from 33 (<= 40% of the prior window)
- Anomaly daily change 28.0 is 3.4 standard deviations from this entity's own prior mean (-1.4±8.6, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 33 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 28.0 is 3.4 standard deviations from this entity's own prior mean (-1.4±8.6, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 28.0 is 3.4 standard deviations from this entity's own prior mean (-1.4±8.6, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -49 per 3d from 40 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -53 per 3d from 44 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -36 per 3d from 51 (<= 40% of the prior window)
- Anomaly daily change -25.0 is -4.4 standard deviations from this entity's own prior mean (0.5±5.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 40 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -11 per 3d from 51 (<= 40% of the prior window)
- Anomaly daily change -25.0 is -4.4 standard deviations from this entity's own prior mean (0.5±5.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 44 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 51 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 51 in the last 3d vs 1 in the 3d before (ratio 51.0x, threshold 1.5x)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | — | unknown | — |
| Self-hostable | 1 | inferred | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Local AI agent sandboxes are essential infrastructure for building reliable agents, making it a foundational tool for developers.
Evidence quotesverbatim, from the product’s own materials
“Self-hostable sandbox SDK”— description
FAQ
What is npm i -g hotcell?
Provides a local sandbox environment on Mac, Linux, or bare metal for running, testing, and debugging AI agents without relying on cloud services.
What does npm i -g hotcell do?
Run, test, and debug AI agents locally to avoid risks associated with cloud dependencies or external environments.
Why does npm i -g hotcell matter?
Local AI agent sandboxes are essential infrastructure for building reliable agents, making it a foundational tool for developers.
How much does npm i -g hotcell cost?
Free
Is npm i -g hotcell free?
Yes — npm i -g hotcell has a free tier. Pricing as stated on its own page: Free
Can I self-host npm i -g hotcell?
Yes — npm i -g hotcell can be self-hosted.
How popular is npm i -g hotcell?
As tracked by KanonAgent: 111 upvotes (first indexed 2026-08-05).
What are the best npm i -g hotcell alternatives?
Similar AI agents tracked by KanonAgent: AEO Engine, langchain, BIG, autogen, POST BRIDGE, Indexsy.