Status basis: github_stars momentum fell to 0 per 3d from 28 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 28 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 287 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 287 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 28 per 3d from 342 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 287 per 3d from 4024 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 287 per 3d from 4024 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 348 per 3d from 3941 (<= 40% of the prior window)
- Accelerating github_stars gained 4024 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 4024 in the last 3d
- Anomaly daily change 83.0 is -311.1 standard deviations from this entity's own prior mean (394.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 342 per 3d from 3941 (<= 40% of the prior window)
- first observed Kanon started keeping permanent history for this agent
- Breaking out Breaking out detected
| 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 | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Its collaborative workspace and deployment flexibility significantly lower the barrier from prototype to production.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Deploy on cloud, VPC, or self-hosted”— readme
“Build Agentic workflows, RAG pipelines, with rich AI model and tool support”— description
FAQ
What is dify?
dify is a unified platform for building and deploying AI workflows and RAG pipelines, supporting multiple models and flexible deployment options.
What does dify do?
Build and deploy AI workflows and RAG pipelines with multi-model support and seamless integration.
Why does dify matter?
Its collaborative workspace and deployment flexibility significantly lower the barrier from prototype to production.
Is dify open source?
Yes — dify is open source.
Can I self-host dify?
Yes — dify can be self-hosted.
How popular is dify?
As tracked by KanonAgent: 109 upvotes (first indexed 2026-07-21).
When did dify take off?
KanonAgent flagged dify as breaking out on 2026-07-24 on GitHub (at 345 stars/day that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best dify alternatives?
Similar AI agents tracked by KanonAgent: langchain, BIG, claude-mem, AEO Engine, autogen, POST BRIDGE.