Status basis: daily change 402.0 is 6.7 standard deviations from this entity's own prior mean (-54.1±68.3, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 402.0 is 6.7 standard deviations from this entity's own prior mean (-54.1±68.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 322 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 322 in the last 3d
- Accelerating github_stars gained 301 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 301 in the last 3d
- Anomaly daily change 26.0 is 10.7 standard deviations from this entity's own prior mean (15.3±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 402.0 is 6.7 standard deviations from this entity's own prior mean (-54.1±68.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 276 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 276 in the last 3d
- Anomaly daily change 11.0 is -4.3 standard deviations from this entity's own prior mean (15.3±0.0, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
| 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 | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Its focus on local execution and open-source transparency addresses growing developer concerns about data security and tool dependency.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“npm i -g open-computer-use”— readme
“run Computer Use on macOS, Linux, and Windows”— readme
“wrapped as `MCP`”— readme
FAQ
What is open-codex-computer-use?
An open-source alternative to GitHub Copilot's computer use, enabling AI agents to run code tasks locally for improved efficiency and data privacy.
What does open-codex-computer-use do?
Run AI agents locally to execute code tasks, improving development speed and protecting code privacy.
Why does open-codex-computer-use matter?
Its focus on local execution and open-source transparency addresses growing developer concerns about data security and tool dependency.
How much does open-codex-computer-use cost?
Free
Is open-codex-computer-use free?
Yes — open-codex-computer-use has a free tier. Pricing as stated on its own page: Free
Is open-codex-computer-use open source?
Yes — open-codex-computer-use is open source.
Can I self-host open-codex-computer-use?
Yes — open-codex-computer-use can be self-hosted.
What does open-codex-computer-use integrate with?
mcp
How popular is open-codex-computer-use?
As tracked by KanonAgent: 26 upvotes (first indexed 2026-07-08).
What are the best open-codex-computer-use alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.