DeepSecure: Effortless Identity & Auth for AI Agents

🎯 Why DeepSecure?

The Problem: AI Agents Are Security Nightmares

# ❌ Current state: Security chaos
# 🔑 API keys scattered everywhere
os.environ["OPENAI_API_KEY"] = "sk-..." # Same key shared across all agents

# 🤖 No agent identity - who did what? which actions?
agent1 = YourFavoriteFramework()  # Anonymous agent
agent2 = AnotherFramework()  # Another anonymous agent

# 🚫 All-or-nothing permissions
agent.call_internal_api()  # Full admin access to everything
agent.call_external_api()  # Full admin access to everything

# No delegation, no policy enforcement, no audit trail
# Result: One breach = Complete system compromise

The Solution: Comprehensive Zero-Trust for AI Agents

# ✅ With DeepSecure: Complete security transformation
# 🔐 Cryptographic identity per agent  
client = deepsecure.Client()
agent = client.agent("financial-analyst", auto_create=True)  # Ed25519 identity

# 📋 Fine-grained policy enforcement happens automatically
# When agent fetches secrets, gateway validates JWT claims and enforces policy
secret = client.get_secret(
    agent_id=agent.id, 
    secret_name="openai-api", 
    path="/v1/chat/completions"
)
# Gateway enforces: Does agent have OpenAI access? Rate limits? Business hours?
# Policy controls which agents can access which APIs, when, and how often

# 🔄 Secure delegation between agents
delegation_toke

... [View full README on GitHub](https://github.com/DeepTrail/deepsecure#readme)