InALign

Tamper-proof audit trails for AI coding agents

Know what your AI agents did. Prove it. Cryptographically.

--- ## The Problem AI coding agents (Claude Code, Cursor, Cursor) can read, write, and execute anything on your machine. When something goes wrong, you have no reliable way to answer: - **What** did the agent actually do? - **Who** told it to do that? - **When** did it happen? - **Can I prove it** to my team, auditors, or a court? Logs can be edited. Memory fades. You need a chain of evidence that **cannot be tampered with**. ## The Solution InALign is an open-source [MCP server](https://modelcontextprotocol.io/) that sits inside your AI agent and records every action into a **SHA-256 hash chain** -- each record cryptographically linked to the previous one. Modify any record and the chain breaks. Immediately detectable. ``` User prompt ──> Agent action ──> InALign records it | +-- SHA-256 hash chain (tamper-proof) +-- W3C PROV knowledge graph (ontology) +-- Full conversation capture (prompts + responses) +-- 6-tab interactive HTML dashboard +-- GraphRAG risk analysis (11 MITRE ATT&CK

Agents

inalign