Rank #2291 · on radar since 2026-07-07
learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
learn-agentic-ai is a AI agent on the Cresting radar since 2026-07-07, currently ranked #2291 of 2371 tracked tools with a momentum score of 19.2. It has 4,270 GitHub stars. Momentum measures how fast a tool is rising, not how big it is; the score recomputes hourly from public signals.
Momentum
19.2
24h· new7d· new
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.324 |
| Recency boost | 0.000 |
| Signal decay | 0.991 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks+0 in window · 993 latest · 2 snapshots
github · stars+0 in window · 4,270 latest · 2 snapshots
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