uber/ADR
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Latest metrics (snapshot 2026-10-14)
| stars | 2042 |
|---|---|
| forks | 219 |
| issues | 15 |
| pushed_at | 2026-10-14T17:57:56Z |
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 |
|---|---|
| 2026-10-14 | 2042 |
ADC Momentum: 47/100
| Growth velocity | 45 |
|---|---|
| Consistency | 36 |
| Recency | 100 |
| 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/uber/ADR)<a href="https://agentdataco.com/repo/uber/ADR"><img src="https://agentdataco.com/badge/repo/uber/ADR.svg" alt="ADC Momentum"></a>Details
| description | ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. |
|---|---|
| url | https://github.com/uber/ADR |
| language | Python |
| license | Apache-2.0 |
| topics | agent-security ai-agents ai-security benchmark claude claude-code codex cursor llm-security mcp model-context-protocol prompt-injection |
| created_at | 2026-04-19T18:01:42Z |
| homepage | https://arxiv.org/abs/2605.17380 |
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