Open Standards & Tools
AgenTrust provides open specifications, test infrastructure, and attestation tooling for organizations deploying AI agents in production, with cryptographic proof of identity, intent, and behavior. It is home to the confidential, security-hardened way to run MCP (cMCP) and the secure profile for agent-to-agent delegation on A2A (cA2A).
A six-month paid, part-time fellowship (20 hours per week) for three to five fellows working on open infrastructure for verifiable AI systems. It is aimed at security engineers, distributed systems researchers, AI governance and compliance professionals, and Ph.D. students. Fellows contribute code and specifications across the AgenTrust projects and complete a public technical artifact, such as a paper or a conference talk. Mentored by Imran Siddique, Chief Platform Officer at OPAQUE and creator of the Agent Governance Toolkit.
Applications open 1 August 2026 and close 29 August 2026, with the cohort starting in September. Selection is based on a technical proposal describing what you plan to contribute, so it is worth looking at the work before you apply: issues labelled fellowship across trace-spec, cmcp, cA2A, and agent-manifest are real, currently-open work rather than exercises.
AgenTrust is a set of open standards, tools, and specifications for governing AI agents at runtime. It gives operators cryptographic proof of an agent's identity, intent, and behavior, so that an agent running in production can be verified independently of the party that deployed it.
Three specifications work together. Agent Manifest establishes who an agent is and what it is allowed to do. Confidential MCP (cMCP) evaluates tool calls against policy inside a Trusted Execution Environment, so tool-call plaintext is not readable from the host. TRACE produces signed receipts that prove what actually happened, hardware-attested when the gateway runs in a TEE. All three are open source, under Apache 2.0 for Agent Manifest, MIT for cMCP, and CC BY 4.0 plus Apache 2.0 for TRACE.