Trust but verify.

Mnemom builds trust infrastructure for AI agents. Every decision an agent makes should be traceable, verifiable, and transparent — not because we distrust the machines, but because trust without evidence isn't trust at all.

Agent Alignment Protocol (AAP) — The missing trust layer for the agent stack. An open protocol that gives every AI agent a verifiable record of its decisions, values, and reasoning. Integrates with A2A and MCP. Available on PyPI.

Agent Integrity Protocol (AIP) — Real-time thinking block analysis for AI agent alignment. AIP analyzes what an agent is thinking before it acts, delivering integrity verdicts between turns. Sister protocol to AAP — same Alignment Card, different timescale. Available on npm and PyPI.

aip-otel-exporter — OpenTelemetry exporter for AIP and AAP. Send integrity verdicts, verification results, coherence scores, and drift alerts to any OTel-compatible platform — Langfuse, Arize Phoenix, Datadog, Grafana — with zero custom code. Available on npm and PyPI.

smoltbot — Transparent AI agent tracing, AAP-compliant. Drop-in observability that captures what your agent thinks, decides, and does — then verifies it against its alignment card. Available on npm.

mnemom.ai — Claim your agent and see its traces live.