Status basis: npm_downloads_7d gained 28 in the last 3d vs 1 in the 3d before (ratio 28.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 28 in the last 3d vs 1 in the 3d before (ratio 28.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 29 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 43 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 43 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 10 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -105 per 3d from 20 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -110 per 3d from 49 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 47 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 47 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 49 in the last 3d vs 13 in the 3d before (ratio 3.8x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 27 per 3d from 89 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 13 per 3d from 77 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 89 in the last 3d vs 11 in the 3d before (ratio 8.1x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 89 in the last 3d vs 11 in the 3d before (ratio 8.1x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 11 per 3d from 52 (<= 40% of the prior window)
- Reactivated npm_downloads_7d did not move for 7d, then gained 63 in the last 3d
- Accelerating npm_downloads_7d gained 62 in the last 3d vs 1 in the 3d before (ratio 62.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 11 per 3d from 52 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 60 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 26 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 238 (<= 40% of the prior window)
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 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.
It brings intuitive, visual task management to complex multi-agent systems, significantly lowering the barrier to building and maintaining collaborative AI workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Orchestrate AI workflows”— readme
FAQ
What is KaibanJS?
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems using a Kanban-inspired workflow.
What does KaibanJS do?
Visually manage task flow and coordination across multiple AI agents using a Kanban-inspired interface to improve system clarity.
Why does KaibanJS matter?
It brings intuitive, visual task management to complex multi-agent systems, significantly lowering the barrier to building and maintaining collaborative AI workflows.
How much does KaibanJS cost?
Not specified
Is KaibanJS open source?
Yes — KaibanJS is open source.
How popular is KaibanJS?
As tracked by KanonAgent: 1.5k upvotes (first indexed 2026-07-24).
What are the best KaibanJS alternatives?
Similar AI agents tracked by KanonAgent: AEO Engine, ponytail, langchain, paperclip, claude-mem, BIG.