Status basis: npm_downloads_7d gained 1733 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 1733 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 608.3 is 3.5 standard deviations from this entity's own prior mean (8.0±172.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -694 per 3d from 52 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -694 per 3d from 382 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 455 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 52 per 3d from 926 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 52 per 3d from 926 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 415 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 342 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -545 per 3d from 14 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -602 per 3d from 126 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -395 per 3d from 94 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 14 per 3d from 278 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 126 per 3d from 501 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 94 per 3d from 825 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 94 per 3d from 653 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 501 in the last 3d vs 152 in the 3d before (ratio 3.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 501 in the last 3d vs 152 in the 3d before (ratio 3.3x, threshold 1.5x)
- Anomaly daily change 278.0 is 3.0 standard deviations from this entity's own prior mean (-15.3±97.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 430 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 324.0 is 4.9 standard deviations from this entity's own prior mean (-28.9±71.4, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 324.0 is 4.9 standard deviations from this entity's own prior mean (-28.9±71.4, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -318 per 3d from 21 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -449 per 3d from 156 (<= 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 | 2 | inferred | 1 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.
It introduces the concept of 'controllable context' in AI agents, making it a foundational component for trustworthy AI systems.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“run development commands”— readme
FAQ
What is lean-ctx?
lean-ctx is a local Rust-based tool that gives developers control over what AI agents see, remember, and access, ensuring security and auditability.
What does lean-ctx do?
Run locally to control what AI agents see, remember, and access, ensuring security and auditability.
Why does lean-ctx matter?
It introduces the concept of 'controllable context' in AI agents, making it a foundational component for trustworthy AI systems.
Is lean-ctx open source?
Yes — lean-ctx is open source.
How popular is lean-ctx?
As tracked by KanonAgent: 15 upvotes (first indexed 2026-07-21).
What are the best lean-ctx alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.