Team layer for local AI agents

Helm keeps AI agent work on the team record.

Use the agent each engineer prefers. Helm keeps the task, context, runtime, review, and result visible to the team.

Request beta access What Helm does

What it does

A shared operating layer around the agents you already use.

Task notes

Start every run with shared intent.

Outcome, constraints, acceptance criteria, and review questions live with the work before an agent starts.

Project rooms

Keep the work visible.

Sessions, comments, todos, blockers, and results stay in one project timeline instead of private chat history.

Desktop routing

Run agents where the repo lives.

Helm routes work to connected desktops with the local tools, credentials, and runtime already in place.

Team context

Make lessons reusable.

Decisions, fixes, and review feedback become scoped context the next run can cite.

Why it exists

AI coding became personal. Team software still has to be shared.

AI work is personal.

Engineers choose different models, editors, prompts, terminals, and local setups. That should stay flexible.

Team work needs a record.

A team still needs to know what ran, why it ran, what context was used, and what standard the result had to meet.

Helm is the shared layer.

It lets personal agents produce team-visible work without forcing everyone into the same tool.

Why Helm stands apart

It coordinates the work. It does not replace the worker.

01

Not another agent

Use Claude Code, Codex, Cursor, Amp, or the tool your team already trusts. Helm coordinates around them.

02

Local execution stays local

The desktop does the work near the repository and credentials. The web app keeps the team record.

03

Standards become policy

Skills, checks, and review expectations attach to the run instead of living in copied prompt fragments.

04

Context has receipts

Team memory should point back to the task, decision, review, or session that created it.

Roadmap

The goal is simple.

A teammate opens Helm and knows what is running, what is blocked, what needs review, and what the team can reuse.

Shipping 01

Shared rooms

  • Project activity
  • Agent sessions
  • Task notes
  • Comments and blockers
Next 02

Intent gates

  • Prompt review
  • Required context
  • Skill policy
  • Run approval
Later 03

Team memory

  • Cited context
  • Reusable decisions
  • Review feedback
  • Multi-agent checks

Desktop

Bring your own agents. Give the team one record.

Helm Desktop detects coding agents, keeps execution near your repository, and reports capabilities back to the project room.

Claude Code Codex Cursor Amp Zed VS Code

Private beta

Keep the personal agent. Add the team layer.

For teams already using coding agents and ready to make that work visible, reviewable, and reusable.