Status basis: npm_downloads_7d momentum fell to -59 per 3d from 150 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -59 per 3d from 150 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -59 per 3d from 147 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 147 (<= 40% of the prior window)
- Anomaly daily change 150.0 is 23.6 standard deviations from this entity's own prior mean (1.0±6.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 150 in the last 3d vs 31 in the 3d before (ratio 4.8x, threshold 1.5x)
- Anomaly daily change 150.0 is 23.6 standard deviations from this entity's own prior mean (1.0±6.3, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 147 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 147 in the last 3d vs 34 in the 3d before (ratio 4.3x, threshold 1.5x)
- Anomaly daily change 150.0 is 23.6 standard deviations from this entity's own prior mean (1.0±6.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 147 in the last 3d vs 26 in the 3d before (ratio 5.7x, threshold 1.5x)
- Anomaly daily change 150.0 is 23.6 standard deviations from this entity's own prior mean (1.0±6.3, baseline excludes this point) — unusual, not necessarily adoption
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -3 per 3d from 26 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 147 in the last 3d vs 26 in the 3d before (ratio 5.7x, threshold 1.5x)
- Anomaly daily change 150.0 is 23.6 standard deviations from this entity's own prior mean (1.0±6.3, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 34.0 is 8.7 standard deviations from this entity's own prior mean (0.2±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 18 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 26 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 34.0 is 8.7 standard deviations from this entity's own prior mean (0.2±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 18 (<= 40% of the prior window)
- Reactivated npm_downloads_7d did not move for 7d, then gained 26 in the last 3d
- Accelerating pypi_downloads_30d gained 18 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 18 in the last 3d
- Anomaly daily change 34.0 is 8.7 standard deviations from this entity's own prior mean (0.2±3.9, baseline excludes this point) — unusual, not necessarily adoption
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | gmail,notion,slack,ollama | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It addresses the core challenge of enterprise AI—lacking context—by building explainable, data-connected agentic workflows
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“https://hub.docker.com/r/pipeshubai/pipeshub-ai”— readme
“langchain,langgraph”— topics
“gmail,knowledge-graph,langchain,langgraph,llamaparse,notion,ollama,perplexity,rag,slack”— topics
“unifies your business data for explainable enterprise search”— description
FAQ
What is pipeshub-ai?
PipesHub AI is an open-source platform that connects fragmented enterprise data to give AI assistants contextual awareness for reliable search and automated tasks.
What does pipeshub-ai do?
To unify scattered internal data sources and provide AI assistants with context for accurate information retrieval and automated task execution.
Why does pipeshub-ai matter?
It addresses the core challenge of enterprise AI—lacking context—by building explainable, data-connected agentic workflows
How much does pipeshub-ai cost?
Open-source (free)
Is pipeshub-ai free?
Yes — pipeshub-ai has a free tier. Pricing as stated on its own page: Open-source (free)
Is pipeshub-ai open source?
Yes — pipeshub-ai is open source.
Can I self-host pipeshub-ai?
Yes — pipeshub-ai can be self-hosted.
What does pipeshub-ai integrate with?
gmail,notion,slack,ollama
How popular is pipeshub-ai?
As tracked by KanonAgent: 48 upvotes (first indexed 2026-08-18).
What are the best pipeshub-ai alternatives?
Similar AI agents tracked by KanonAgent: AEO Engine, langchain, BIG, autogen, POST BRIDGE, nanobot.