Quark-AI – Git for AI agents. Your agent just updated. Does it still think the same?
Quark-AI — Git for AI Agents Most teams deploy AI agents without knowing if their behavior has changed from one version to the next. Quark-AI solves this problem. It captures the cognitive fingerprint of any agent based on a long-range linear model (LLM) — not its results, but its underlying behavioral patterns: its reasoning, its consistent actions across seven analytical angles, and its weaknesses. We call these "fossils." The workflow is similar to Git's:
pip install quark-agent quark snapshot --agent my-support-bot --prompt system_prompt.txt quark diff v1.2 v1.3 # did the last deploy change behavior? quark restore v1.1 --to staging_prompt.md quark log --agent my-bot --oneline
Three engines under the hood: Nautilus — behavioral fingerprinting via 7-probe observation + integration of the cosine stability score Veritas — semantic credibility score (algorithmically measured, without LLM self-assessment) La Forge — AI project orchestrator that generates and deploys code with cognitive traceability Why it matters: When your agent starts experiencing more frequent hallucinations, refuses tasks it previously handled, or simply behaves differently after a model update, Quark-AI tells you precisely what changed and allows you to revert to the previous behavior. I created it because I had lost an important model and had no way to recreate the same model.
