companyhelm/companyhelm

CompanyHelm is a distributed coding agent orchestrator that provides a control plane for running AI coding agents in isolated, dedicated environments.

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Summary Information

Updated 53 minutes ago
Added to GitGenius on August 31st, 2026
Created on March 12th, 2026
Open Issues & Pull Requests: 0 (+0)
Number of forks: 10
Total Stargazers: 74 (+0)
Total Subscribers: 2 (+0)

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Detailed Description

CompanyHelm is a distributed coding agent orchestrator that provides a control plane for running AI coding agents in isolated, dedicated environments.

The tool addresses the challenge of executing coding tasks safely and at scale by running each agent session in a fresh virtual machine, ensuring complete isolation. This architecture enables multiple use cases: agents can perform end-to-end testing by spinning up applications in isolation, generate demo videos for new features and attach them to pull requests, provide live remote desktop access for interactive feature review before merging, and operate across multiple repositories within a single session. The system is model-agnostic and supports multiple model providers including OpenAI, Anthropic, Google, OpenRouter, and OpenAI-compatible APIs. Agents can be customized using MCP, Skills, and custom instructions. The tool also supports workspace collaboration, allowing multiple users to work together in the same environment.

CompanyHelm suits teams building AI-powered development workflows who need reliable isolation and the ability to run coding tasks in distributed fashion. It works well for organizations that want agents to interact with their applications programmatically, generate test coverage, or produce feature demonstrations. The project is structured as a monorepo containing an API server, a web application, and a standalone runner CLI package. Local development requires Node.js, npm, Docker, and Docker Compose, with specific versions pinned to avoid lockfile drift. Setup involves configuring environment variables for GitHub App integration, model provider credentials, and E2B compute resources.

The project maintains active community engagement through a Discord channel. Development activity shows ongoing work across the full stack, with the monorepo structure indicating parallel development of server infrastructure, web interface, and the distributed runner component. The codebase is written in TypeScript and includes comprehensive local development documentation with health check endpoints and database administration tools configured for developer convenience.