KuOnoda/AutoRef
Official implementation of “Harness Optimization for Agentic Multi-Reference Image Generation”
Latest metrics (snapshot 2026-10-15)
| stars | 28 |
|---|---|
| forks | 1 |
| issues | 0 |
| pushed_at | 2026-09-29T15:52:08Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 28 |
ADC Momentum: 33/100
| Growth velocity | 39 |
|---|---|
| Consistency | 31 |
| Recency | 46 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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Details
| description | Official implementation of “Harness Optimization for Agentic Multi-Reference Image Generation” |
|---|---|
| url | https://github.com/KuOnoda/AutoRef |
| language | Python |
| license | MIT |
| topics | ai-agent harness harness-engineering image-generation multimodel rsi self-evolving text-to-image |
| created_at | 2026-09-25T08:37:44Z |
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