gnhf is a skill AI agent for Automate agent sleep and wake cycles through task scheduling to manage autonomy and resource use. Pricing: Not specified. As of 2026-10-28, KanonAgent records 984 upvotes. First indexed by KanonAgent on 2026-07-08.
A tool that lets AI agents schedule their own sleep and wake cycles, enabling autonomous rest and activity patterns.
984 upvotes
Tracked by Kanon since Jul 8, 2026
Status basis: npm_downloads_7d gained 785 in the last 3d vs 50 in the 3d before (ratio 15.7x, threshold 1.5x)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 785 in the last 3d vs 50 in the 3d before (ratio 15.7x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 50 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 50 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -377 per 3d from 82 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -222 per 3d from 28 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -86 per 3d from 28 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 82 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -10 per 3d from 65 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -67 per 3d from 20 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -65 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 20 per 3d from 55 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -21 per 3d from 354 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -14 per 3d from 806 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 55 per 3d from 710 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 55 per 3d from 710 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 710 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 452.0 is 5.0 standard deviations from this entity's own prior mean (-27.4±96.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 452.0 is 5.0 standard deviations from this entity's own prior mean (-27.4±96.2, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -103 per 3d from 129 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -191 per 3d from 217 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -167 per 3d from 246 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 129 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -117 per 3d from 246 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 217 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
🔎 Known / Unknown
15 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 3 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.
🤖 Agent teardown · skill
Job to be doneAutomate agent sleep and wake cycles through task scheduling to manage autonomy and resource use.
AutonomyL2 · tool-calling(evidence: "each iteration is committed on success…")
Who it is forAI agent enthusiasts and experimental developers
Prerequisitesopen source
PricingNot specified
Traction · why it is rising1,045 users suggest strong interest in playful, human-like agent behavior.
Why it matters
Introduces a novel, anthropomorphic approach to agent lifecycle management, pushing the boundaries of AI interaction design.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“each iteration is committed on success”— readme
“with sensible retries”— readme
“keeps your agents running while you sleep”— readme
“ralph-style orchestrator that keeps your agents running while you sleep”— readme
Signal source: GitHub
Visit official site →
📛 Official badgefor your site / README
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FAQ
What is gnhf?
A tool that lets AI agents schedule their own sleep and wake cycles, enabling autonomous rest and activity patterns.
What does gnhf do?
Automate agent sleep and wake cycles through task scheduling to manage autonomy and resource use.
Why does gnhf matter?
Introduces a novel, anthropomorphic approach to agent lifecycle management, pushing the boundaries of AI interaction design.
How much does gnhf cost?
Not specified
Is gnhf open source?
Yes — gnhf is open source.
How popular is gnhf?
As tracked by KanonAgent: 984 upvotes (first indexed 2026-07-08).
What are the best gnhf alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.