Build Safe, Private &
Autonomous AI Agents
Deploy AI agents with cryptographic proofs, verifiable execution, and hardware-enforced privacy. From autonomous trading bots to personal assistants.
How to Build Safe, Private & Autonomous Agents
Check TemplatesCurate
Knowledge retrieval pattern for RAG agents. Query databases, search embeddings, and curate context before responding to user queries.
Plan-and-Execute
Break down complex tasks into steps. Agent plans the approach, executes each step, and adjusts based on intermediate results.
Multi-Agent
Coordinate multiple specialized agents. Divide tasks among expert agents and synthesize their outputs into cohesive responses.
Critique-Revise
Self-improving agents that critique their outputs and iterate. Generate, evaluate, refine until meeting quality thresholds.
Compress-ReAct
Reasoning and Acting pattern with context compression. Agent reasons, takes actions, observes results, and compresses long context.
Popular Frameworks
LangChain & LangGraph
Build stateful multi-actor applications with cycles and controllability
N8n
Low-code automation platform for complex workflows and integrations
MCP
Model Context Protocol for connecting AI models to data sources
Postgrep
PostgreSQL-based RAG system for semantic search and retrieval
Microsoft Presidio
PII detection and anonymization for privacy-preserving AI
Autonomous Agents
Self-operating agents that make decisions, execute transactions, and interact with blockchains autonomously in secure enclaves
Financial Agents
- Autonomous trading with cryptographic execution proofs
- Real-time market data analysis in secure enclaves
- Risk management with verifiable calculations
- Portfolio rebalancing with audit trails
- DeFi protocol integration with privacy
- MEV protection through private transactions
- Yield optimization across multiple chains
- Smart order routing with confidential strategies
- Compliance monitoring with private data
- API key security in hardware enclaves
AI Wallet Copilot
Intelligent wallet assistant with secure key management in TEE
- Private key protection in hardware enclave
- AI-powered transaction insights and recommendations
- Verifiable execution for all wallet operations
ERC-8004 TEE Agent
Ethereum standard for verifiable AI agents with TEE attestation
- On-chain attestation of agent execution
- Cryptographic proof of AI model integrity
- Standardized interface for verifiable agents
Coinbase X402 TEE
Secure Coinbase integration with TEE-protected API credentials
- API key security in hardware enclave
- Private trading execution with attestation
- Verifiable transaction logs for compliance
Personal Agents
Your digital assistant running in a secure enclave. Handle daily tasks with complete privacy and verifiable execution.
Vijil: Automated smart contract audit agent with verifiable security analysis
Blormmy: E-commerce agent with private shopping behavior analysis
Nous Research x Flashbot: Truth of autonomous AI agents with verifiable execution
NEAR: Financial agent with private DeFi strategies and secure execution
Rabbi: Trading agent with confidential strategies and verifiable execution
Newton: Payment agent powering verifiable AI for autonomous finance
Why Verifiable Agents Matter
Traditional AI agents run in black-box environments. Users can't verify behavior, operators can modify code, and keys/secrets are exposed to infrastructure.
Agent actions cannot be cryptographically proven
Traditional cloud infrastructure exposes sensitive information to operators and administrators.
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Execution can be tampered with by operators
Hardware-enforced isolation prevents unauthorized access while maintaining computational efficiency.
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Private keys exposed to cloud infrastructure
End-to-end encryption protects data in transit, at rest, and critically during computation.
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No guarantee agent code matches what was published
Cryptographic verification ensures code integrity and proves execution in genuine TEE hardware.
More InformationIndustry-Leading Enterprise Compliance
Meeting the highest compliance requirements for your business
