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General-Purpose Machine Learning > Ombre

Open source AI infrastructure layer. Eight agents run automatically: security, caching, memory, hallucination detection, and tamper-proof audit trail. Runs locally.

Package 4 stars GitHub

Ombre

The AI Security Perimeter

[

Version

](https://github.com/pypl0/Ombre/releases) [

License

](LICENSE) [

Agents

](https://github.com/pypl0/Ombre) [

Listed

](https://github.com/josephmisiti/awesome-machine-learning) [

Security

](https://github.com/pypl0/Ombre)

17 autonomous agents. One swarm intelligence. Zero data transmission.

The open source answer to Project Glasswing.


Why Ombre Exists

Anthropic's Claude Mythos Preview found thousands of zero-day vulnerabilities across every major OS and browser. They locked it away for 50 companies through Project Glasswing.

Ombre brings defensive AI security to every developer on earth. Free. Open source. No $100M membership required.


The Security Perimeter

Your Application ↓ ┌─────────────────────────────────────────────────┐ │ OMBRE SECURITY PERIMETER │ │ │ │ SENTINEL ──── coordinates all 17 agents │ │ │ │ │ ┌───▼────┐ ┌────────┐ ┌─────────┐ ┌────────┐ │ │ │Guardian│ │Firewall│ │ Vault │ │Contract│ │ │ │Zero-day│ │Indirect│ │PII Token│ │Behavior│ │ │ │scanning│ │inject. │ │ization │ │enforce.│ │ │ └────────┘ └────────┘ └─────────┘ └────────┘ │ │ │ │ ┌────────┐ ┌────────┐ ┌─────────┐ ┌────────┐ │ │ │Security│ │ Audit │ │Complian.│ │ Cost │ │ │ │ZeroTrst│ │SHA-256 │ │EU AI Act│ │Tracking│ │ │ │+8 more │ │ chain │ │ HIPAA │ │Forecast│ │ │ └────────┘ └────────┘ └─────────┘ └────────┘ │ │ │ │ SHARED THREAT INTELLIGENCE BUS │ └─────────────────────────────────────────────────┘ ↓ Any AI Model (OpenAI / Anthropic / Groq / Mistral)


Install

pip install git+https://github.com/pypl0/Ombre.git

from ombre import Ombre

ai = Ombre(openai_key="your-key")

# 17 agents activate automatically on every request
response = ai.run("Analyze this contract for legal risks")

print(response.text)
print(response.confidence)        # 0.0-1.0
print(response.cost_saved)        # Dollars saved
print(response.audit_id)          # Tamper-proof record
print(response.threats_blocked)   # Attacks stopped

Guardian — Zero-Day Vulnerability Scanner
The open source answer to Claude Mythos Preview.
# Scan your AI application code
report = ai.scan_repository("./your_ai_app")

print(f"Risk score: {report['risk_score']}/10")
print(f"Critical: {report['summary']['critical']}")
print(f"Zero-day candidates: {report['summary']['zero_day_candidates']}")
print(f"OWASP Top 10: {report['compliance']['owasp_top10_coverage']:.0%}")

# Get notified when critical vulnerabilities are found
def alert_team(notification):
    print(f"ALERT: {notification['count']} critical vulns in {notification['file']}")

ai.guardian.add_notification_callback(alert_team)

Privacy Vault — PII Never Enters The Model
Python
# PII is tokenized before inference, restored after
# The model reasons about PERSON_A not John Smith
# HIPAA and GDPR compliant by architecture

response = ai.run("Review the contract for John Smith john@acme.com")
# Model sees: "Review the contract for PERSON_A EMAIL_A"
# You see: Normal response with real names restored


Behavior Contract — Legal-Grade AI Policy
Python

from ombre.agents.contract import BehaviorContract

contract = BehaviorContract(
    forbidden_topics=["competitor_products", "legal_advice"],
    forbidden_outputs=["I cannot help", "As an AI"],
    min_confidence=0.8,
    block_violations=True,
)
ai.set_contract(contract)
# Every response validated. Violations produce cryptographic proof.

Zero Trust Gateway — Role-Based AI Access
# Assign roles to users
ai.zerotrust.assign_role("user_123", "admin")
ai.zerotrust.assign_role("user_456", "readonly")

# Block a user instantly
ai.zerotrust.block_user("user_789", reason="Policy violation")

# Rate limits enforced automatically per role


Swarm Intelligence

# See what the swarm knows
report = ai.get_intelligence_report()

print(report["sentinel_mode"])      # PASSIVE / ACTIVE / LOCKDOWN
print(report["threat_intelligence"]) # System-wide threat level
print(report["recent_signals"])      # What each agent detected

The 17 Agents
Agent
Purpose
🛡 Guardian
Zero-day vulnerability scanning
🧠 Sentinel
Swarm intelligence coordinator
🔥 Firewall
Indirect injection protection
🔐 Vault
PII tokenization — model never sees real data
📜 Contract
Legal-grade behavior enforcement
🚪 Zero Trust
Role-based access control
🔒 Security
Direct injection and threat blocking
🧠 Memory
Persistent encrypted context
💰 Token
Semantic caching — 40-60% cost reduction
⚡ Compute
Intelligent model routing
✅ Truth
Ground truth injection
⏱ Latency
P99 monitoring and SLA enforcement
🎯 Reliability
Hallucination detection
📋 Audit
Tamper-proof SHA-256 chain
🔄 Feedback
Continuous improvement loop
📊 Cost
Spend tracking and forecasting
🏛 Compliance
EU AI Act, HIPAA, SOC2, GDPR
Pricing
Tier
Price
Who
Free
$0 forever
Developers, startups
Growth
$2,500/month
Series A+ companies
Enterprise
Custom
Large organizations
Government
Custom
Agencies, defense
Enterprise licenses: USDT (TRC20)
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Contact: ombreaiq@gmail.com
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