Status basis: npm_downloads_7d gained 1913 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 1913 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -4 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -4 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 -19 per 3d from 15 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -76 per 3d from 72 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -76 per 3d from 72 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 15 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -57.0 is -3.1 standard deviations from this entity's own prior mean (4.8±20.2, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 72 in the last 3d vs 22 in the 3d before (ratio 3.3x, threshold 1.5x)
- Anomaly daily change 73.0 is 4.4 standard deviations from this entity's own prior mean (2.5±16.1, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -1 per 3d from 79 (<= 40% of the prior window)
- Anomaly daily change 73.0 is 4.4 standard deviations from this entity's own prior mean (2.5±16.1, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 72 in the last 3d vs 22 in the 3d before (ratio 3.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 79 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 22 per 3d from 57 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 79 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 22 per 3d from 57 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -74 per 3d from 68 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -86 per 3d from 80 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -86 per 3d from 86 (<= 40% of the prior window)
- Anomaly daily change -68.0 is -9.2 standard deviations from this entity's own prior mean (3.4±7.7, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 68 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 3 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | claudecode,codex,cursor,mcp | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It rethinks how developers navigate code by using knowledge graphs, offering a new model for improving technical comprehension and collaboration.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“A local intelligence layer for AI coding agents.”— readme
“watches the OSS frontier and continuously scores”— readme
“self-tuning learning loop shaped by what you adopt”— readme
“continuously scores relevant projects”— readme
“Claude Code, Codex and Cursor already help inside the repo”— readme
FAQ
What is Replen?
Replen maps your code repositories into a knowledge graph to help developers understand open-source project relationships and dependencies.
What does Replen do?
Map code repositories into a knowledge graph to help developers understand open-source project relationships and dependencies.
Why does Replen matter?
It rethinks how developers navigate code by using knowledge graphs, offering a new model for improving technical comprehension and collaboration.
How much does Replen cost?
Not specified
Is Replen open source?
Yes — Replen is open source.
Can I self-host Replen?
Yes — Replen can be self-hosted.
What does Replen integrate with?
claudecode,codex,cursor,mcp
How popular is Replen?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-07-09).
What are the best Replen alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.