Status basis: npm_downloads_7d gained 7450 in the last 3d vs 125 in the 3d before (ratio 59.6x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 7450 in the last 3d vs 125 in the 3d before (ratio 59.6x, threshold 1.5x)
- Anomaly daily change 2483.3 is 4.2 standard deviations from this entity's own prior mean (59.1±577.6, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 125 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 2483.3 is 4.2 standard deviations from this entity's own prior mean (59.1±577.6, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 125 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -2381 per 3d from 710 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 987 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -136 per 3d from 1961 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -136 per 3d from 1961 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 1961 in the last 3d vs 163 in the 3d before (ratio 12.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 1278 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 1001 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -423 per 3d from 293 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -246 per 3d from 540 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 293 in the last 3d vs 1 in the 3d before (ratio 293.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -243 per 3d from 364 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 116 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 971 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 364 per 3d from 1041 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 116 per 3d from 952 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 971 in the last 3d vs 97 in the 3d before (ratio 10.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 116 per 3d from 952 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 1041 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -1636 per 3d from 1118 (<= 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 delivers deep optimization for a specific model (DeepSeek), making it a practical and reliable step toward real-world AI coding agent adoption.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Engineered around prefix-cache stability — leave it running.”— description
FAQ
What is DeepSeek-Reasonix?
A DeepSeek-native AI coding agent for terminal use, optimized for long-running tasks with stable prefix caching, helping developers automate code generation and editing.
What does DeepSeek-Reasonix do?
Serve as a long-running, stable AI coding agent for terminal use, automating code tasks with consistent performance.
Why does DeepSeek-Reasonix matter?
It delivers deep optimization for a specific model (DeepSeek), making it a practical and reliable step toward real-world AI coding agent adoption.
How much does DeepSeek-Reasonix cost?
Free + 27,736 users
Is DeepSeek-Reasonix free?
Yes — DeepSeek-Reasonix has a free tier. Pricing as stated on its own page: Free + 27,736 users
Is DeepSeek-Reasonix open source?
Yes — DeepSeek-Reasonix is open source.
How popular is DeepSeek-Reasonix?
As tracked by KanonAgent: 36.0k upvotes (first indexed 2026-07-14).
What are the best DeepSeek-Reasonix alternatives?
Similar AI agents tracked by KanonAgent: deepseek-harness, Codédex, LLM Gateway, oh-my-openagent, goose, Hack2hire.