Status basis: npm_downloads_7d gained 183 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 183 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -59.0 is -3.0 standard deviations from this entity's own prior mean (1.2±20.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 183 in the last 3d vs 2 in the 3d before (ratio 91.5x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 183 in the last 3d vs 2 in the 3d before (ratio 91.5x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 7 in the last 3d vs 2 in the 3d before (ratio 3.5x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 8 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 9 per 3d from 174 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 5 per 3d from 174 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 5 per 3d from 174 (<= 40% of the prior window)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Offers essential safety guardrails for AI agents, serving as a foundational layer for deploying trustworthy AI in production environments.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
FAQ
What is SteerPlane?
An open-source framework that adds runtime safety controls to AI agents, preventing unintended or harmful behavior during execution.
What does SteerPlane do?
Provide runtime safety controls for AI agents to prevent unauthorized or harmful actions.
Why does SteerPlane matter?
Offers essential safety guardrails for AI agents, serving as a foundational layer for deploying trustworthy AI in production environments.
Is SteerPlane open source?
Yes — SteerPlane is open source.
How popular is SteerPlane?
As tracked by KanonAgent: 1 upvotes (first indexed 2026-07-21).
What are the best SteerPlane alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.