OS-level telemetry
Monitors from the kernel rather than relying on the agent’s own logs, so activity can be reviewed independently of what the agent reports.
ContextFort
RevendiquerContextFort monitors AI coding and browser agents at the OS level so engineering teams can see files, processes, and network activity in real time. It is positioned for environments where agents like Cursor or Claude Code run with broad system permissions.
Overview
ContextFort is an endpoint visibility product for AI coding and browser agents. The site positions it as a way to detect and track AI agents in real time so engineering teams can see what those agents are doing on developers’ machines.
Its core purpose is to provide independent, OS-level visibility into file access, network activity, and spawned processes. The product is framed as a response to the access that agents like Cursor and Claude Code inherit when they run with a user’s system permissions.
Core capabilities
File access telemetry
Captures every file the agent reads or writes, including source code, credentials, SSH keys, and environment files such as `.env`.
Network monitoring
Tracks outbound connections initiated during agent activity so teams can see what data may have been sent and where it went.
Process tree tracking
Records subprocesses and shell activity, giving visibility into commands, installs, and build steps launched by the agent.
Independent audit trail
Maintains an audit trail of agent actions that the product says the agent cannot tamper with after the fact.
Cross-platform endpoint monitoring
Describes platform coverage across Linux, macOS, and Windows using eBPF, Apple’s Endpoint Security Framework, and ETW plus Minifilter.
Practical uses
Session review for engineering teams
Review what an AI coding agent accessed during a session, including files opened, commands launched, and network connections made.
Sensitive file exposure checks
Investigate whether an agent read sensitive files such as `.env`, SSH keys, or cloud credentials while working on a repository.
Command and build visibility
Track subprocesses and shell execution when an agent installs packages, runs builds, or spawns helper processes.
Network activity investigation
Correlate outbound network activity with agent behavior to understand what data may have left the machine.
Pros and Cons
Pros
- Provides OS-level monitoring rather than relying on agent self-reporting.
- Surfaces file, network, and process activity in one place.
- Covers Linux, macOS, and Windows in the product description.
- Explicitly targets AI coding agents and the permissions they inherit from users.
Cons
- The site does not show pricing or plan details; the pricing page currently returns a 404.
- Public documentation on integrations, deployment steps, and supported workflows is limited on the pages provided.
FAQ
Who is ContextFort for?
ContextFort is designed for engineering environments where AI coding or browser agents run with broad system access. It helps teams understand what those agents touched so they can review activity after the fact.
What does ContextFort monitor?
The source describes OS-level monitoring for file access, network activity, and process trees, plus an independent audit trail. It is presented as monitoring from the kernel rather than relying on agent self-reported logs.
Which platforms does it support?
The site references Linux, macOS, and Windows support through eBPF, Endpoint Security Framework, and ETW plus Minifilter, respectively.
Is there pricing or setup information on the site?
The public site does not provide setup steps, pricing details, or integration documentation. It points users to book a demo or view the GitHub repository for more information.
Quick Facts
- Category
- Endpoint monitoring for AI agents
- Primary users
- Engineering teams using AI coding agents
- Platform support
- Linux, macOS, Windows
- Monitoring level
- Kernel / OS-level telemetry
- Source domain
- contextfort.ai
- Pricing page
- Returns a 404 on the public site
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