agent-apprenticeship is a skill AI agent for Enable AI agents to evolve their capabilities through repeated task execution, feedback, and experience accumulation. Pricing: not stated on the product page. As of 2026-10-26, KanonAgent records 1.6k upvotes. First indexed by KanonAgent on 2026-07-24.
A system where AI agents learn and improve over time by executing tasks in iterative loops, receiving feedback, and building reusable experience.
1.6k upvotes
Tracked by Kanon since Jul 24, 2026
Status basis: npm_downloads_7d gained 5 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 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -24.0 is -5.8 standard deviations from this entity's own prior mean (1.2±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -24 per 3d from 16 (<= 40% of the prior window)
- Anomaly daily change -24.0 is -5.8 standard deviations from this entity's own prior mean (1.2±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -24.0 is -5.8 standard deviations from this entity's own prior mean (1.2±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -24 per 3d from 16 (<= 40% of the prior window)
- Anomaly daily change -24.0 is -5.8 standard deviations from this entity's own prior mean (1.2±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 16 in the last 3d vs 1 in the 3d before (ratio 16.0x, threshold 1.5x)
- Anomaly daily change -24.0 is -5.8 standard deviations from this entity's own prior mean (1.2±4.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 7 per 3d from 25 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 7 in the last 3d vs 1 in the 3d before (ratio 7.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -2 per 3d from 24 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 26 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 25 in the last 3d vs 4 in the 3d before (ratio 6.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 28 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 24 in the last 3d vs 4 in the 3d before (ratio 6.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 26 in the last 3d vs 2 in the 3d before (ratio 13.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 28 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -19 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -19 per 3d from 19 (<= 40% of the prior window)
- Anomaly daily change -14.0 is -9.0 standard deviations from this entity's own prior mean (0.8±1.6, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -15 per 3d from 19 (<= 40% of the prior window)
🔎 Known / Unknown
13 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 | 4 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 doneEnable AI agents to evolve their capabilities through repeated task execution, feedback, and experience accumulation.
AutonomyL2 · tool-calling(evidence: "complete tasks through workflow loops, improve through itera…")
Who it is forAI researchers and developers
Prerequisitesopen source · self-hostable
Traction · why it is rising1333 on Product Hunt
Why it matters
It introduces a learning-by-doing paradigm for AI agents, moving beyond one-off task execution toward persistent, cumulative intelligence.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“npx agent-apprenticeship init”— readme
“complete tasks through workflow loops, improve through iterative execution”— readme
“workflow loops”— readme
“improve through iterative execution, are evaluated by mentor agents”— readme
“turn completed work into reusable work experience”— readme
Signal source: GitHub
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FAQ
What is agent-apprenticeship?
A system where AI agents learn and improve over time by executing tasks in iterative loops, receiving feedback, and building reusable experience.
What does agent-apprenticeship do?
Enable AI agents to evolve their capabilities through repeated task execution, feedback, and experience accumulation.
Why does agent-apprenticeship matter?
It introduces a learning-by-doing paradigm for AI agents, moving beyond one-off task execution toward persistent, cumulative intelligence.
Is agent-apprenticeship open source?
Yes — agent-apprenticeship is open source.
Can I self-host agent-apprenticeship?
Yes — agent-apprenticeship can be self-hosted.
How popular is agent-apprenticeship?
As tracked by KanonAgent: 1.6k upvotes (first indexed 2026-07-24).
What are the best agent-apprenticeship alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.