Show HN: I built a tamper-evident flight recorder for AI agents

Mnestiq is a flight recorder for AI agents that records what an agent read, decided and did, tags each piece of model context by provenance, and hash-chains records sealed by Ed25519-signed Merkle checkpoints so edits, deletions and reordering fail verification. It can be used without code changes via a proxy between the agent and model APIs, or through Python SDK wrappers for Anthropic and OpenAI clients, and includes a local dashboard with detection rules such as MNQ-001 for untrusted arguments in tool calls. The project is at version 1.0 under Apache-2.0, with a documented evidence format and a stated security model noting that evidence is tamper-evident after writing but a compromised host is not made truthful at write time.