Status basis: npm_downloads_7d gained 25 in the last 3d vs 4 in the 3d before (ratio 6.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 25 in the last 3d vs 4 in the 3d before (ratio 6.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -5 per 3d from 12 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -5 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 8 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -75 per 3d from 43 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -70 per 3d from 43 (<= 40% of the prior window)
- Anomaly daily change -51.0 is -10.9 standard deviations from this entity's own prior mean (9.4±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 43 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -51.0 is -10.9 standard deviations from this entity's own prior mean (9.4±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 43 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| 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.
It acts as a foundational memory layer in the agent ecosystem, addressing the critical gap of context retention across tasks.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“adds a GUI + built-in Skills/tools”— readme
“persistent memory. Stop repeating yourself”— readme
“Skills-first support: oc init generates user-level skills (Cursor/Claude Code/Codex)”— readme
FAQ
What is OpenContext?
OpenContext provides AI agents with a persistent personal context store, enabling seamless reuse of project knowledge across tasks through CLI and GUI interfaces.
What does OpenContext do?
Persist and reuse project context across multiple AI tasks to avoid redundant input and information loss.
Why does OpenContext matter?
It acts as a foundational memory layer in the agent ecosystem, addressing the critical gap of context retention across tasks.
Is OpenContext open source?
Yes — OpenContext is open source.
How popular is OpenContext?
As tracked by KanonAgent: 46 upvotes (first indexed 2026-09-11).
What are the best OpenContext alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, open-design, deer-flow, ruflo, career-ops.