Practical overview
When it fits
Use it when AI-generated code needs enforceable repository gates beyond the agent’s own completion report.
Who it is for
- Developers using AI coding agents in repositories
- Teams seeking repository-level evidence checks for agent-generated changes
- Projects that want agent instructions reinforced by hooks and CI
Documented uses
- Define coding-agent rules with AGENTS.md.
- Require evidence for workflow phases such as planning, review and testing.
- Detect leaked credentials before changes proceed.
- Reject specified CI conditions such as a green test result when zero tests ran.
Requirements & limits
The repository is public and identifies an MIT license. It is described as usable on Linux, macOS and Windows through a CLI and self-hosted workflow.
- Its core distinction is enforcement outside the agent: validators read work-trail evidence and hooks or CI can fail specified conditions.
- It supports repository rules through AGENTS.md and names Claude Code, Codex, Cursor, GitHub Copilot and Antigravity.
- The documented local pre-commit hook is opt-in and bypassable, while required CI checks provide the non-skippable merge floor described by the repository.
- The supplied material does not document per-agent setup commands or implementation details.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Add evidence-gated governance to an AI coding repository
Apply Agentic OS rules and validation to an AI coding workflow.
Before you start
- A repository using Claude Code, Codex, Cursor, GitHub Copilot, Antigravity, or another Markdown-reading agent.
- A repository workflow that can use AGENTS.md rules and git hooks or CI.
- Source documentation for Agentic OS.
Steps
Add the repository’s Agentic OS governance rules through AGENTS.md.
Use the documented workflow phases for the task, including planning, implementation, review, testing and shipping where applicable.
Connect the validator to repository git hooks and CI checks.
Require the documented checks to pass before the change proceeds.
Expected outcome
The repository has an evidence-gated workflow in which specified missing evidence, leaked secrets or invalid test claims can fail local or CI validation.
Guide limitations
- The supplied documentation does not include configuration steps for each supported coding agent.
- The local pre-commit hook is opt-in and can be bypassed with --no-verify.
- Security scanning jobs are not required merge checks unless branch protection adds them.
Compare options for AI coding assistance
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Agentic OS — KbWen | Define coding-agent rules with AGENTS.md. | CLI, Linux, macOS, Self-hosted | The repository is public and identifies an MIT license. It is described as usable on Linux, macOS and Windows through a CLI and self-hosted workflow. |
| Harness Score | Measure the presence and structure of agent guidance, skills, hooks, feedback tools and safeguards. | CLI | The project is documented as a CLI and is MIT-licensed. The README shows invocation through `npx harness-score` and references a GitHub Action. |
| Agenttrail | See which project components and files are changing. | CLI, Desktop | Kitchen setup requires Node.js 20 or later, a browser with WebGL and a local project folder. The README describes Kitchen as a public experimental preview. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 3 October 2026
- Original website title
- KbWen/agentic-os · Official homepage title · retained in its source language

