agentos is a skill AI agent for Run and coordinate AI agents in a secure, low-cost isolated environment. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 758 upvotes. First indexed by KanonAgent on 2026-07-18.
agentos provides a lightweight, low-cost environment for running and coordinating AI agents in isolated Linux VMs, reducing the overhead of traditional sandboxes.
758 upvotes
Tracked by Kanon since Jul 18, 2026
Status basis: npm_downloads_7d gained 17 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 17 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -2242 per 3d from 17 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 17 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -2402 per 3d from 130 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 1166 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -93 per 3d from 3212 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 130 per 3d from 2989 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1166 per 3d from 3042 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 3212 in the last 3d vs 1089 in the 3d before (ratio 2.9x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 1166 per 3d from 3042 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 2989 in the last 3d vs 1089 in the 3d before (ratio 2.7x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 3042 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 1953.0 is 9.2 standard deviations from this entity's own prior mean (76.2±204.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 1089 in the last 3d vs 688 in the 3d before (ratio 1.6x, threshold 1.5x)
- Anomaly daily change 1953.0 is 9.2 standard deviations from this entity's own prior mean (76.2±204.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 1089 in the last 3d vs 639 in the 3d before (ratio 1.7x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 946 (<= 40% of the prior window)
- Anomaly daily change 688.0 is 3.6 standard deviations from this entity's own prior mean (39.4±179.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 1089 in the last 3d vs 639 in the 3d before (ratio 1.7x, threshold 1.5x)
- Anomaly daily change 688.0 is 3.6 standard deviations from this entity's own prior mean (39.4±179.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 688 in the last 3d vs 258 in the 3d before (ratio 2.7x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 946 (<= 40% of the prior window)
- Anomaly daily change 688.0 is 3.6 standard deviations from this entity's own prior mean (39.4±179.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 946 in the last 3d vs 526 in the 3d before (ratio 1.8x, threshold 1.5x)
🔎 Known / Unknown
14 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🚀 Breakout logappend-only · timestamped
2026-07-30ProductHuntflagged at 139 upvotes → now ▲143
Full breakout log →🤖 Agent teardown · skill
Job to be doneRun and coordinate AI agents in a secure, low-cost isolated environment
AutonomyL2 · tool-calling(evidence: "Agents call your functions directly via bindings…")
Who it is forDevelopers
Prerequisitesopen source · self-hostable
Traction · why it is rising48 votes
Why it matters
It addresses the core tension between security and resource efficiency in AI agent deployment, representing a key advancement in AI-native infrastructure.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Just an npm package. Run locally with `npx rivetkit dev`, then deploy to Rivet Cloud or self-host”— readme
“Agents call your functions directly via bindings”— readme
Signal source: GitHub
Visit official site →
📛 Official badgefor your site / README
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FAQ
What is agentos?
agentos provides a lightweight, low-cost environment for running and coordinating AI agents in isolated Linux VMs, reducing the overhead of traditional sandboxes.
What does agentos do?
Run and coordinate AI agents in a secure, low-cost isolated environment
Why does agentos matter?
It addresses the core tension between security and resource efficiency in AI agent deployment, representing a key advancement in AI-native infrastructure.
Is agentos open source?
Yes — agentos is open source.
Can I self-host agentos?
Yes — agentos can be self-hosted.
How popular is agentos?
As tracked by KanonAgent: 758 upvotes (first indexed 2026-07-18).
When did agentos take off?
KanonAgent flagged agentos as breaking out on 2026-07-30 on ProductHunt (at 139 upvotes that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best agentos alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, open-design, deer-flow, ruflo, career-ops.