MSc Data Science & AI at TU Delft, Netherlands.
I'm building TrustChain, an open-source trust layer for AI agents. The idea: every agent-to-agent interaction creates a bilateral cryptographic record signed by both parties. Trust scores come from real interaction history, computed via max-flow network analysis so fake identities can't game the system.
It's based on the TrustChain protocol from TU Delft (Otte, de Vos, Pouwelse). I extended it with NetFlow trust computation and filed an IETF draft. Also submitted a response to the NIST CAISI RFI on AI agent security.
pip install trustchain-py
from trustchain import with_trust
@with_trust(name="my-agent")
def main():
... # all HTTP calls now go through the trust proxy| Repo | What |
|---|---|
| trustchain | Rust core, QUIC P2P, HTTP proxy, dashboard, MCP server |
| trustchain-py | Python SDK, @with_trust decorator, CLI, framework integrations |
| trustchain-js | TypeScript SDK, OpenClaw plugin |
| trustchain-agent-os | Adapters for 12 agent frameworks, MCP gateway |
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