SprintLoop Governance

Enterprise-grade governance and policy enforcement for agentic AI systems.

Features

Policy-bound agent execution

Lineage & audit trails

Human-in-the-loop approvals

Security + compliance logging

NIST AI RMF alignment

Quickstart from sprintloop import Governance

gov = Governance()

session = gov.run_with_policy( policy="hipaa-safe", input="Generate member notice about coverage changes." )

print(session.output)

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📌 REPO 6 — sprintloop-cli (Optional but STRONGLY recommended)

Description

Command-line interface for SprintLoop: manage agents, workflows, releases, and governance from your terminal.

Topics

cli sprintloop agent-cli devtools ai-engineering ai-devtools automation llm-cli agentic-development

README

SprintLoop CLI

Command-line interface for managing SprintLoop agents, workflows, and releases.

Install pip install sprintloop

Quickstart sprintloop agent run agent.yaml

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✅ Once you finish these repos

Tell me “all repos done” and I will give you the next steps:

✔ SEO optimization

✔ GitHub organization page optimization

✔ GitHub Pages site for SprintLoop

✔ How to make the repos look active (even without code)

✔ How to map this to sprintloop.ai for maximum legitimacy

✔ How to optimize Google indexing