DOS Kernel

Overview

DOS Kernel is an observability tool that verifies AI agents' claims about their work by checking them against git history. It catches discrepancies between what an agent says it shipped and what actually appears in the repository. Written in Python, it is designed for teams that want to audit agent output without trusting the agent's self-report.

Best for

Best for
Teams using AI agents for coding who need an independent check on what actually gets shipped

Use cases

• Audit AI agent commit claims against actual git history
• Detect when an agent reports work that was never committed
• Add a verification step to agent-driven development workflows

Notes

DOS Kernel is an observability tool that verifies AI agents’ claims about their work by checking them against git history. It catches discrepancies between what an agent says it shipped and what actually appears in the repository. Written in Python, it is designed for teams that want to audit agent output without trusting the agent’s self-report.

20 stars on GitHub. Last updated 2026-09-27. Licensed MIT.

Use cases

• Audit AI agent commit claims against actual git history
• Detect when an agent reports work that was never committed
• Add a verification step to agent-driven development workflows

Pros

• Directly addresses the problem of agent hallucination about completed work
• Leverages git as a source of truth, which is already standard in development
• Lightweight Python tool that can be integrated into existing pipelines

Cons

• Only verifies against git, so it cannot validate work done outside version control
• Small community project with limited adoption and likely minimal maintenance
• Requires agents to make claims in a format the tool can parse, which may not be standardized

Indexed from awesome-llmops and enriched against its public facts.