Self-learning AI governance that captures LLM failures, learns patterns, and prevents your Claude, Gemini, or Codex from making the same mistake twice.
They make the same mistakes over and over, with no memory of what went wrong before.
You reminded Claude to add tests last week. Today? No tests again.
Missing MFA, weak auth, exposed secrets - the same vulnerabilities every time.
AI rewrites entire files, breaks working logic, ignores your patterns.
GDPR, ISO, SOC 2 requirements? The AI forgets them constantly.
GuardLoop captures failures, learns patterns, and prevents repeats automatically.
Every AI interaction logged to SQLite
Pattern detection finds recurring failures
Dynamic guardrails auto-generated
Rules injected into next prompt
Analyzes DB for failure patterns and auto-generates guardrails from real data
Detects code vs creative tasks, skips guardrails when irrelevant
Safely executes file operations from LLM output with validation
Maintains context across interactive sessions for proper Q&A flow
Every AI prompt includes your organization's standards automatically
Catch security issues, bad patterns, and failures before they reach code
13 specialized agents ensure comprehensive quality validation
MFA, Azure AD, RBAC enforced by default in all implementations
Built-in support for ISO 27001, GDPR, SOC 2
# AI-generated code (missing error handling)
async def fetch_user_data(user_id):
result = await db.query("SELECT * FROM users WHERE id = ?", user_id)
return result
# ⚠️ Problem: No try-catch block!
$ guardloop analyze --days 7
📊 Pattern Detected:
- 5 failures: Missing try-catch in async DB calls
- Confidence: 0.85
- Severity: high
🧠 Generated Dynamic Guardrail:
"Always wrap async database calls in try-catch blocks"
Status: validated → enforced
# AI now generates (with learned guardrail)
async def fetch_user_data(user_id):
try:
result = await db.query("SELECT * FROM users WHERE id = ?", user_id)
return result
except DatabaseError as e:
logger.error(f"Failed to fetch user {user_id}: {e}")
raise
# ✅ Problem solved permanently!
One system for all your AI assistants
pip install guardloop
guardloop init
guardloop run claude "your prompt here"
Note: GuardLoop v2.0 is in alpha. Core features work great, advanced features coming soon. See status →
Join developers using GuardLoop to build safer, smarter AI workflows