Status basis: npm_downloads_7d gained 327 in the last 3d vs 9 in the 3d before (ratio 36.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 327 in the last 3d vs 9 in the 3d before (ratio 36.3x, 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 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 -668 per 3d from 15 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -191 per 3d from 335 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 403 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 15 per 3d from 117 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 15 per 3d from 117 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -203 per 3d from 152 (<= 40% of the prior window)
- Anomaly daily change -271.0 is -3.5 standard deviations from this entity's own prior mean (21.2±84.6, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -271.0 is -3.5 standard deviations from this entity's own prior mean (21.2±84.6, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -174 per 3d from 415 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -220 per 3d from 478 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -26 per 3d from 284 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 415 in the last 3d vs 10 in the 3d before (ratio 41.5x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -26 per 3d from 284 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 478 in the last 3d vs 169 in the 3d before (ratio 2.8x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 284 in the last 3d vs 120 in the 3d before (ratio 2.4x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 10 per 3d from 129 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 284 in the last 3d vs 120 in the 3d before (ratio 2.4x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 10 per 3d from 129 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 130 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -30 per 3d from 160 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 179 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | 1 | inferred | 1 quote(s) |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | subscription | inferred | 1 quote(s) |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It acts as an operational dashboard for AI teams, solving the visibility and orchestration challenges of multi-agent systems in real-world workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“self-hosted, multiplayer-ready web workspace”— readme
“Agor ships no model of its own. It drives the coding-agent CLIs and SDKs you already run”— readme
“Agents run in the browser instead of a terminal, with per-prompt token and cost accounting”— readme
“Each branch is a first-class git working directory with its own dev environment and conversation history”— readme
“bring your own provider and subscription, no vendor lock-in.”— readme
FAQ
What is agor?
A centralized command center for teams to monitor, manage, and coordinate multiple AI agents across workflows, preventing task overlap and information silos.
What does agor do?
Provide centralized visibility and coordination for multiple AI agents within a team to avoid conflicts and ensure alignment across tasks.
Why does agor matter?
It acts as an operational dashboard for AI teams, solving the visibility and orchestration challenges of multi-agent systems in real-world workflows.
Is agor open source?
Yes — agor is open source.
Can I self-host agor?
Yes — agor can be self-hosted.
What does agor integrate with?
mcp
How popular is agor?
As tracked by KanonAgent: 1.4k upvotes (first indexed 2026-07-24).
What are the best agor alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.