Blockchain-grade security at inference speed.
The trust layer for AI agent networks. RealAgentID gives every AI agent a cryptographic identity - preventing spoofing, replay attacks, and unauthorized commands before they reach your infrastructure.
"As agentic AI redefines what's possible, the boldest organizations will set the pace of transformation." -Databricks, 2026 State of AI Agents
AI agents are executing trades, routing medical decisions, processing legal contracts, and running R&D pipelines. Nobody knows if the agent sending the command is actually who it says it is.
RealAgentID is the missing trust layer - cryptographic identity for verification for AI agents that operates at subsecond latency, invisible to your real time inference pipeline.
Every major platform will tell you their agents are governed. None of them can prove it without asking you to trust their infrastructure first.
RealAgenID is different. The identity verification is cyrptographic - the math either checks out or it doesn't. No vendor. No cloud console. No MCP workaround required.
Platforms like Oracle and Gemini Enterprise govern what agents do inside their cloud.
RealAgentID governs what agents are
- cryptographically, anywhere.*
- Generates Ed25519 cryptographic keypairs per agent
- Signs and verifies messages with sub-millisecond latency
- Blocks replay attacks via Redis TTL nonces
- Detects payload tampering in real time
- Logs all events to a tamper-evident audit trail
- Tracks behavioral patterns via local AI analysis
'''bash git clone https://github.com/ RealAgentID/RealAgentID.git cd RealAgentID python3 -m venv venv source venv/bin/activate pip install -r requirements.txt python3 tests/test_full_run.py
from realagentid import Agent
agent = Agent(name="signal_gen", role="signal_gen") agent.keygen() agent.register() signed = agent.sign({"action": "buy", "asset": "BTC"}, channel="signal:btc") verified = agent.verify(signed)
python3 cli/main.py keygen --name my_agent python3 cli/main.py register --agent-id my_agent --pubkey ./keys/my_agent.pem --role worker python3 cli/main.py list python3 cli/main.py sign --agent-id my_agent --message "hello" --privkey ./keys/my_agent_private.pem --channel tasks:default python3 cli/main.py audit
Finance - trade signal verification, strategy scoring, SEC/FINRA audit trails
Healthcare - clinical trial matching, revenue cycle management, R&D pipeline integrity
Legal - precedent based agent coaching, contract execution verification
Research - verified research intelligence, reproducible AI agent workflows
Python 3.12+
Redis
sudo apt install redis-server -y sudo service redis start redis-cli ping
TrailStax is the first production implementation of RealAgentID - append-only, hash-chained audit trails and code commit registry for AI agents, built on this protocol.
RealAgentID implements NIST-standardized post-quantum cryptography via liboqs.
- Signing: ML-DSA-65 (FIPS 204) - quantum-resistant digital signatures for agent identity
- Key Encapsulation: Kyber512 - quantum-resistant key exchange for vault encryption
- Security level: AES-192 / 3072-bit RSA equivalent in classical security
To enable PQC, install liboqs and the Python wrapper:
'''bash sudo apt install cmake ninja-build libssl-dev -y git clone https://github.com/open-quantum-safe/liboqs.git cd liboqs && mkdir build && cd build cmake -Gninja .. -DBUILD_SHARED_LIBS=ON && ninja && sudo ninja install && sudo ldconfig cd ~ && git clone https://github.com/open-quantum-safe/liboqs-python.git cd liboqs-python && sudo pip install . --break-system-packages
RealAgentID core is MIT licensed and free forever. Enterprise adapters and the Control Center are available under a commercial license. Contact RealAgentID@proton.me for enterprise inquiries.