GraphCanon updated Sep 11, 2026 · GitHub synced Sep 11, 2026
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Decision brief
An open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes.
Good fit when
- When you need a provider-side solution that does not require altering existing codebases or SDKs to monitor performance metrics.
- For developers looking to avoid complex installations, Heron can be easily set up using pre-defined scripts.
Avoid when
- When the need is for an in-agent monitoring tool rather than a network packet-based solution, as Heron operates on traffic.
- In environments where live capture requires administrative privileges that are not available to the user performing the installation.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (23d since push)
- As of Sep 11, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 11, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add heronSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Heron is an open-source performance monitoring utility that captures network traffic to measure the performance of multiple LLMs and AI agents. It deploys on the provider side without requiring changes to SDK.
Capability facts
- Languages
- rust
Source: github.language · Sep 11, 2026
Categories
Tags
README
30 Second Quick Start No live capture needed. No privileges. Just a with LLM traffic. text Install and smoke test Heron (https://github.com/Netis/heron) on this machine: 1. Read the README and docs/install.md to pick the right install path. Use the one line installer; user local...
For agents
This page has a .md twin and JSON over the API.