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AI agent management

Case study

AgentOS

Observe, organize, and control AI agents across tools — Claude Code, Cursor, and more.

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Problem

AI agents are proliferating across development tools without visibility or governance. Teams don't know which agents are running, what context they carry, or how to enforce standards across Claude Code, Cursor, and custom tools.

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Solution

A local-first platform providing hierarchical structure for AI agent sessions: projects, teams, and CHARTER.md-driven context inheritance. Cross-tool observability detects and tracks agents regardless of which tool runs them; HMAC-secured bridge and approval workflows enforce governance.

  • Local-first platform providing hierarchical structure for AI agent sessions: projects, teams, and CHARTER.md-driven context inheritance.
  • Cross-tool observability: detect and track agents regardless of which tool runs them; HMAC-secured bridge and approval workflows.
  • TypeScript backend with Supabase, APNs/FCM push, and mobile pairing API.
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Outcome

Teams gain visibility into agent activity, standardize context through inherited CHARTER.md files, and maintain approval workflows for sensitive operations.

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Stack

TypeScriptSupabaseExpressAPNsFCM
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Industry

This project belongs to the SaaS industry.

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Stack

Explore the technology stacks used in this project.

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Contact

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AgentOS — Code Your Reality | Code Your Reality