head to head · open source

codex-security vs code-on-incus

codex-security has 10,750 GitHub stars, 797 forks, 220 open issues and last shipped yesterday. code-on-incus has 720 stars, 62 forks, 24 open issues and last shipped 3 days ago. codex-security leads on adoption by 1,393% (10,750 vs 720 stars). codex-security is written in TypeScript under Apache-2.0; code-on-incus is written in Go under MIT. codex-security has attracted 7% as many forks as stars, code-on-incus 9%. codex-security was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (codex), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

codex-security ★ 11K code-on-incus ★ 720 category AI & Machine Learning

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Side by side

codex-security code-on-incus
GitHub stars ★ 11K ★ 720
License Apache-2.0 MIT
Written in TypeScript Go
Last push 2026-09-17 2026-09-15
Forks ⑂ 797 ⑂ 62
Self-hosting Yes Yes
Data ownership Your server Your server

pick codex-security if

  • You weight community size — 11K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full codex-security profile →

pick code-on-incus if

  • You want the code-on-incus feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Go
  • You evaluated both and code-on-incus fits your workflow better

full code-on-incus profile →

About codex-security

Codex Security is OpenAI's command line tool and TypeScript SDK, published on npm as @openai/codex security , that finds, validates, and fixes security vulnerabilities in a codebase, and it serves application security engineers, DevSecOps teams, and developers who want that scanning to run from their own terminal or CI.

read the full codex-security overview →

About code-on-incus

code on incus (coi) is an MIT licensed Go tool that runs AI coding agents such as Claude Code, Codex, opencode, pi, and omp inside their own isolated Incus system containers — full Linux machines with root, systemd, and Docker — and adds kernel level active defense that pauses or kills the container when it detects dangerous behavior, for developers who need real machine access without exposing the host or their credentials.

read the full code-on-incus overview →

More in AI & Machine Learning

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Compare either of these against the rest of the AI Security & Privacy field.

codex-security vs strix codex-security vs shannon codex-security vs SkillSpector codex-security vs iFixAi codex-security vs garak codex-security vs AI-Infra-Guard codex-security vs giskard-oss codex-security vs Agentic-Bug-Hunter codex-security vs nono codex-security vs CyberStrike codex-security vs AiSOC codex-security vs pentest-ai-agents

Frequently asked questions

Is codex-security or code-on-incus more popular?

codex-security has 10,750 GitHub stars and code-on-incus has 720. codex-security has the larger community by that measure.

Are codex-security and code-on-incus free?

Both are open source. codex-security is licensed under Apache-2.0 and code-on-incus under MIT. Neither carries a licence fee.

What is the difference between codex-security and code-on-incus?

codex-security is written in TypeScript and code-on-incus in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, codex-security or code-on-incus?

Choose codex-security if you want the larger community (10,750 stars) or its Apache-2.0 licence terms. Choose code-on-incus if its feature set, stack or MIT licence fits better. Both are self-hostable.