cloudcell/gnosislab
A scientific-method runtime for AI agents: hypotheses, experiments, evidence, provenance, reproducibility, and auditable conclusions.
Latest metrics (snapshot 2026-10-15)
| stars | 21 |
|---|---|
| forks | 7 |
| issues | 0 |
| pushed_at | 2026-10-14T08:48:59Z |
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 | 21 |
ADC Momentum: 45/100
| Growth velocity | 42 |
|---|---|
| Consistency | 33 |
| Recency | 96 |
| 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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[](https://agentdataco.com/repo/cloudcell/gnosislab)<a href="https://agentdataco.com/repo/cloudcell/gnosislab"><img src="https://agentdataco.com/badge/repo/cloudcell/gnosislab.svg" alt="ADC Momentum"></a>Details
| description | A scientific-method runtime for AI agents: hypotheses, experiments, evidence, provenance, reproducibility, and auditable conclusions. |
|---|---|
| url | https://github.com/cloudcell/gnosislab |
| language | Python |
| license | Apache-2.0 |
| topics | ai-agents ai-scientist autonomous-agents experimentation hypothesis-testing llm machine-learning mcp model-context-protocol open-source provenance python |
| created_at | 2026-10-02T05:34:22Z |
| homepage | https://loop.cloudcell.workers.dev/docs |
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