Agent FM Analysis
What is Agent FM?
Agent FM is a desktop app that gives engineers one group chat to hear, steer, and interact with their coding agents running Claude Code, Codex, and OpenCode. It passively observes session output in a separate process and provides live audio updates, voice-to-text transcription anywhere on a Mac or Windows PC, and agent observability and insights. The company is backed by Y Combinator (Summer 2026 batch).
Location
San Francisco, California 94107, United States
Employees
1-10
Founded
2026
Industry
B2B, Engineering, Product And Design
AI Pattern
AI-native application
Builds Hardware
Software only
Business Model v4
Developer infrastructure
Delivery Model
Self-serve SaaS / software
Extruct Category
DevTools
Founders LinkedIn
- Aniket Deshpande: https://www.linkedin.com/in/anideshp
- Mugdhaa P.: https://www.linkedin.com/in/mugdhaa-patankar
Sub-cluster
coding agent interface
YC Partner
Brad Flora
Product Description
Agent FM offers a desktop application designed for engineers, providing a unified group chat interface to interact with various coding agents, including Claude Code, Codex, and OpenCode. The app passively observes session outputs in a separate process, allowing users to receive live audio updates and voice-to-text transcription on both Mac and Windows PCs.
Key features of Agent FM include:
- Unified Communication: A single group chat for engineers to manage interactions with multiple coding agents.
- Live Audio Updates: Users receive real-time audio notifications about their coding sessions, enhancing engagement and awareness.
- Voice-to-Text Transcription: The app converts spoken words into text, making it easier for users to document and follow along with their coding processes.
- Agent Observability and Insights: Engineers can monitor the performance and outputs of their coding agents, gaining valuable insights into their work.
Benefits of using Agent FM include improved collaboration among engineering teams, enhanced productivity through real-time updates, and streamlined communication with coding agents, ultimately leading to more efficient coding sessions.
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