Agent FM

Categories: Coding & Developer Tools, Productivity, Automation / Agents | Pricing: Free | Official Website ↗

Agent FM provides real-time audio narration of AI coding agent activities, surfacing progress, blockers, and attention requests.

Agent FM is a macOS application that offers ambient awareness for AI coding sessions by narrating the actions of coding agents. It translates raw session output into live narration, allowing developers to stay informed about their agents' progress, decisions, errors, and requests for attention in real time. The tool supports agents like Claude Code and Codex, observing their output passively without interfering with their performance. Agent FM operates on a "Bring Your Own Key" (BYOK) model, meaning users connect their own narration providers (e.g., Gemini or OpenAI) directly. The application itself is free and open-source, with users only paying their chosen model provider for token usage. It ensures privacy by encrypting API keys on-device and sending session context directly to the provider without Agent FM servers acting as a proxy.

Key Features

Real-time narration of AI agent activity
Surfaces progress, blockers, decisions, errors, and attention requests
Ambient awareness for coding sessions
Supports Claude Code and Codex agents
BYOK (Bring Your Own Key) model for narration providers
Direct connection to model providers (Gemini, OpenAI)
Privacy-focused: encrypted keys, no server proxy, no telemetry
Passive observation of agent output

Pros

Provides real-time updates on AI coding agent status
Helps developers stay informed without constant manual checking
Free and open-source application
Ensures privacy by not storing user data or API keys on its servers
Does not slow down AI coding sessions as it observes passively

Cons

Currently only available for macOS
Requires users to bring their own API keys for narration providers
Limited to Claude Code and Codex agents (cursor support on roadmap)
Does not replace existing terminals or editors
Users are responsible for costs from their chosen model provider

Use Cases

Monitoring AI agent progress on coding tasks
Identifying blockers or errors in automated development workflows
Receiving real-time notifications for agent attention requests
Gaining ambient awareness of multiple AI agents working in parallel

Best For

Developers using AI coding agents
Teams collaborating with AI assistants
Engineers seeking real-time insights into automated coding tasks

Integrations: Gemini, OpenAI

Platforms: macOS

Watch demo on YouTube ↗

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