Visibility and control tool that monitors AI agents running on a user's machine and their system access capabilities.

Key facts

Overview

Geiger is an open-source monitoring tool designed to provide visibility into AI agents executing on a user's machine, showing which agents are active and what system-level access they possess. Built and released via GitHub, it addresses a specific and timely gap: as AI agents become more common in local development and automation workflows, understanding their footprint and permissions becomes a security concern. The tool works by enumerating running agents and their system capabilities, presenting this information in a human-readable format. It is authored by the Atomburstofficial team and represents grassroots, community-driven security tooling rather than a commercial offering. The underlying approach is agent discovery and permission mapping. Geiger does not prevent agents from running or restrict their access; instead, it surfaces what is already happening so users can make informed decisions. This is particularly valuable in environments where multiple tools—such as GitHub Copilot agents, custom automation scripts, or third-party AI services—operate simultaneously. The tool integrates with the GitHub ecosystem and is distributed under an open-source licence, meaning installation and modification are free but require familiarity with version control and command-line operations. Geiger sits in a niche currently underserved by commercial AI management platforms. Established agent frameworks and platforms like Zapier and Make do provide workflow orchestration, but neither specialises in local machine visibility. Relative to bare-metal security tools like system-level process monitors, Geiger is specifically tuned to identify AI agents rather than generic processes, reducing noise and improving signal for those focused on agent governance. Its limitations are equally clear: it offers observation only, not enforcement; it assumes agents are already running and discoverable; and it provides no incident response or remediation workflows. Adoption remains early. The Hacker News post received modest engagement (29 points), indicating awareness among the developer community but not yet mainstream traction. For organisations serious about agent governance, Geiger is a foundation stone rather than a complete solution. It pairs well with broader security practices like least-privilege access policies and agent sandboxing.

Who it is for

• Best for: Security teams and developers who need visibility into AI agent activity and system access on their machines..
• Avoid if: You are looking for a polished, no-code security management interface or enterprise-grade agent governance platform..

Who this is for

Security engineers, DevOps professionals, AI researchers, and technically-minded individuals running multiple AI agents locally. Risk managers at organisations deploying agent automation will find value in understanding what permissions agents hold. AI safety researchers interested in observability also represent a use case.

Who should skip this

Non-technical users who prioritise ease of use over visibility. Organisations with mature endpoint detection and response (EDR) systems in place may find existing solutions sufficient. Teams not yet running AI agents on local machines have no immediate use for this tool.

Verdict

Geiger fills a genuine and timely need for visibility into AI agent activity on local machines, especially valuable as agent automation scales. Its open-source nature and focused scope make it a useful addition for technical teams prioritising transparency. However, it is a monitoring tool only—not a control or enforcement platform—and requires technical skill to deploy and interpret, limiting its audience to security-conscious developers and organisations already committed to agent governance.

Geiger FAQ

What is Geiger? +

Geiger is an open-source monitoring tool designed to provide visibility into AI agents executing on a user's machine, showing which agents are active and what system-level access they possess. Built and released via GitHub, it addresses a specific and timely gap: as AI agents become more common in local development and automation workflows, understanding their footprint and permissions becomes a security concern. The tool works by enumerating running agents and their system capabilities, presenting this information in a human-readable format. It is authored by the Atomburstofficial team and represents grassroots, community-driven security tooling rather than a commercial offering. The underlying approach is agent discovery and permission mapping. Geiger does not prevent agents from running or restrict their access; instead, it surfaces what is already happening so users can make informed decisions. This is particularly valuable in environments where multiple tools—such as GitHub Copilot agents, custom automation scripts, or third-party AI services—operate simultaneously. The tool integrates with the GitHub ecosystem and is distributed under an open-source licence, meaning installation and modification are free but require familiarity with version control and command-line operations. Geiger sits in a niche currently underserved by commercial AI management platforms. Established agent frameworks and platforms like Zapier and Make do provide workflow orchestration, but neither specialises in local machine visibility. Relative to bare-metal security tools like system-level process monitors, Geiger is specifically tuned to identify AI agents rather than generic processes, reducing noise and improving signal for those focused on agent governance. Its limitations are equally clear: it offers observation only, not enforcement; it assumes agents are already running and discoverable; and it provides no incident response or remediation workflows. Adoption remains early. The Hacker News post received modest engagement (29 points), indicating awareness among the developer community but not yet mainstream traction. For organisations serious about agent governance, Geiger is a foundation stone rather than a complete solution. It pairs well with broader security practices like least-privilege access policies and agent sandboxing.

How much does Geiger cost? +

Geiger pricing: Free (open source). Always confirm current pricing on the official site, as plans change.

Does Geiger have a free tier? +

Yes. Geiger offers a free plan or free credits you can use to evaluate it.

What is Geiger best for? +

Security teams and developers who need visibility into AI agent activity and system access on their machines..

When should you avoid Geiger? +

Avoid Geiger if: You are looking for a polished, no-code security management interface or enterprise-grade agent governance platform..

What are the main pros of Geiger? +

Open source and auditable, allowing security-conscious users to inspect the code directly; Provides real-time visibility into what AI agents are running and their system permissions; Addresses an emerging security concern as AI agents proliferate on personal devices.

What are the main cons of Geiger? +

Early-stage tooling with limited community adoption or production validation; Requires technical competency to install and interpret results effectively; No centralized dashboard or managed service offering for non-technical users.

Does Geiger have an affiliate program? +

No public affiliate program is listed for Geiger at the time of review.

How is Geiger rated? +

WireTensors rates Geiger 3.8 out of 5, based on capability, value, and fit for its intended use case.

What category does Geiger fall under? +

Geiger is categorised under productivity on WireTensors.

When was this Geiger review last verified? +

This review was last verified on 2026-09-09 against the vendor's official site.

Sources

• Geiger — official website — verified 2026-09-09