Govrix-AI

Govrix-AI / govrixaioss

Public

Govrix -AI Agent Governance Platform

31
0
100% credibility
Found Mar 06, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Govrix AI OSS is a self-hosted proxy for monitoring, logging, and governing AI agent traffic to LLM providers like OpenAI and Anthropic, with dashboards, CLI tools, cost tracking, and policy enforcement.

How It Works

1
🔍 Discover Govrix

You hear about a simple way to watch your AI helpers' spending and chats without any coding.

2
📥 Grab it easily

Run one quick command to download and set everything up on your computer.

3
🚀 Start with a click

Your monitoring station comes alive – dashboard, logs, and controls ready instantly.

4
🔗 Connect your AI friends

Change one setting in your tools to route through your new watcher.

5
📊 See it all unfold

Watch live as your AI agents chat, track costs, spot patterns, and stay safe.

6
⚙️ Set your rules

Add spending limits or privacy guards to keep everything under control.

✅ You're in charge

Now you save money, audit usage, and run your AI world confidently.

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Star Growth

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AI-Generated Review

What is govrixaioss?

Govrixaioss is a Rust-based AI agent governance platform that runs as a transparent proxy for APIs like OpenAI and Anthropic. Point your agents at it via a single env var like OPENAI_BASE_URL=localhost:4000, and it intercepts traffic to log events, track token usage, estimate costs, and detect agents automatically. Developers get a dashboard for real-time monitoring, CLI commands for status/events/agents, and REST APIs for budgets/projects/reports—all deployable via Docker in minutes.

Why is it gaining traction?

It stands out with zero-code setup—no SDKs or agent changes needed—while delivering precise cost tracking, lineage auditing, and budget enforcement across agent fleets. Rust ensures low-latency proxying without dropping requests, plus TimescaleDB powers efficient time-series queries for costs and events. Early adopters praise the self-hosted dashboard and Prometheus metrics for observability without vendor lock-in.

Who should use this?

AI engineers deploying LangChain/CrewAI fleets who need cost visibility and PII alerts. DevOps teams capping LLM spend per agent or project. Security leads auditing tool calls and compliance in production agents.

Verdict

Worth a spin for small teams prototyping agent governance—Docker install is seamless, docs solid despite 31 stars. 1.0% credibility reflects early maturity (light tests, basic policies), so pair with your own monitoring before scaling.

(187 words)

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