Observed since 20 Oct, 22:44 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Local-first endpoint sensor for AI coding agents: hash-chained audit trail, MITRE-mapped sequence detection, DLP
A local-first endpoint sensor for AI coding agents.
Agentmetry hooks the tool lifecycle of Claude Code, Cursor, Codex and Antigravity, writes every tool call, approval and denial to a hash-chained JSONL trail on your machine, and runs sequence detection over the session. A credential read followed by network egress becomes one finding rather than two unremarkable log lines.
Everything runs locally. There are no cloud calls and no telemetry. Forwarding to Elastic ECS, Splunk HEC or a webhook exists and is off unless you configure it.
pip install agentmetry
agentmetry doctor
The corpus ships inside the package, so this works from a clean install:
agentmetry benchmark
It replays recorded sessions through the real rule engine and exits non-zero on any missed rule or any false positive. The benign half is the number that matters: any tool can fire on an attack, and a feed that cries wolf gets muted.
Full documentation, the event schema, and the SIEM integration guides are in the repository.
Apache-2.0.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.9.9 | 19 Oct 2026 | 15 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 22:44 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:d5579325e8457c5869b57b442f3e0c218254576a080bdb5e87fe2f25cef0c5fd