From Beamt · In Development

Give it a vision. The swarm delivers.

Your autonomous AI company.

Swarmt is not a task runner — it’s a company of AI agents with distinct roles, shared memory, and a local coordination bus. Engineers, planners, and curators work toward your goal day and night. In development — join the early access list below.

What is Swarmt?

Swarmt gives you a company of AI agents. You write a goal — build a billing portal, maintain your API’s security posture, run customer support for your SaaS — and a swarm of agents with distinct roles works toward it, day and night.

Each agent has a persona and a job. An engineer agent claims cards, writes code, opens MRs, watches CI, and self-heals on failure. A planner agent reads the goal and the board state and refills the backlog when work runs low. A curator agent maintains the hive — a shared, git-backed memory that grows with every commit. They coordinate on a local bus: “auth module done, issue #42 unblocked.”

You get a swarm dashboard: one row per agent, current card, last three actions, weekly spend. When an agent hits something it can’t resolve alone — a design decision, a missing requirement — it escalates to you and the swarm keeps running. You answer the question; it continues.

The Flow

How Swarmt works

From vision to execution — you stay at the helm.

1. Write a goal

Describe what you want to build, maintain, or run — a project, product, or service. The swarm reads it and knows what it is working toward.

2. Roles activate

A planner agent breaks the goal into cards. Engineer agents claim them. A curator tracks what has been learned. Each agent has a persona, memory, and a clear role.

3. The swarm runs, day and night

Engineers write code, open MRs, watch CI, and self-heal. The planner refills the backlog as cards complete. Agents coordinate via a local bus. Blocked agents escalate rather than spin.

4. You check the dashboard

One row per agent: current card, last actions, status, spend. The work happens while you’re away; the dashboard shows what changed.

Differentiation

What makes Swarmt different

A company of agents is not a bigger task runner. Here’s what changes.

A company, not a task

Cursor and Copilot hand you a suggestion. Devin runs a single agent once. Swarmt instantiates a company: engineers, planners, curators — each with a persona, each with memory, each with a role. They coordinate toward a goal.

Hive memory

Every agent builds and reads from a shared, git-backed memory: facts, decisions, lessons learned — all versioned, searchable, and persistent across weeks of operation. The swarm gets smarter over time.

Local coordination bus

Agents message each other directly: “auth module done, #42 unblocked.” No orchestrator in the hot path. The swarm self-coordinates so you don’t have to manage the handoffs.

Escalation, not failure

When an agent hits something it can’t resolve — a design decision, a missing requirement — it surfaces the question to you and keeps the swarm moving. You get a question, not a failed run.

Who Swarmt is for

Solo founders who want a team they can actually afford to run 24/7. Engineering leads who want the backlog to move while they sleep. Anyone with a vision they’d delegate to a senior engineer if they could.

Swarmt is not for the developer who wants to be in the editor — Cursor, Copilot, and Claude Code already serve that need. It’s not for the team that wants to hand one task to one agent and review the result — Devin already serves that. Swarmt is for the person who wants to be at the helm: you set the vision, the agents execute, and you make the calls when something needs a human.

A typical day: you set a goal — “harden the auth layer, ship the new billing page, and close out the open support tickets.” By morning, the planner has decomposed it into twelve cards, engineers have claimed eight, two are in CI, and one has escalated a question about token expiry policy. You answer it in thirty seconds; the agent resumes. That’s the helm.

Architecture

Security & data model

Built by a former MedTech CTO who took HIPAA and HITECH compliance seriously for two decades. That mindset carries over here.

  • Beamt-hosted infrastructure

    Swarmt doesn’t run on your servers.

  • Ephemeral Docker containers

    Every task gets a fresh container, deleted on completion.

  • Repo clones, not direct access

    Swarmt pulls a clone, pushes branches; never holds your tree.

  • Secrets stay in your CI

    GitLab and GitHub secrets are never copied into Swarmt’s environment.

  • Regulated-software discipline

    Same architectural pattern used in FDA-audited systems where data exposure has legal consequences.

Languages & AI engines at launch

At launch

Shipping with Swarmt

  • Languages: Python, JavaScript / TypeScript (Node)
  • AI engines: Claude (Sonnet, Opus)

Roadmap

Coming later

  • Languages: Go, Rust, Java, more
  • AI engines: GPT, Gemini, others

Pricing

Usage-based pricing.

You pay for the work Swarmt does — not for seats, not for agent count, not for repo access.

Early-access pricing details ship with the launch. Get on the list to be first.

Built by someone who’s shipped regulated, mission-critical software

Swarmt is built by Greg Smethells, former CTO of Medstrat — an FDA-approved medical imaging platform that served 25%+ of US orthopedic practices and reached $10M ARR before its acquisition by Zimmer Biomet (Fortune 500). Twenty years of writing software that runs in operating rooms and passes FDA audits. Now applying that same discipline to autonomous software engineering.

More about Greg

Common questions

Questions, answered.

What does Swarmt do?

Swarmt runs a company of AI agents toward a goal you describe — building, maintaining, or running a project, product, or service. Each agent has a role and persona: engineers write code and open MRs; a planner decomposes goals into work; a curator maintains the swarm’s shared memory. They coordinate locally, operate day and night, and escalate to you only when they’re genuinely blocked.

How does Swarmt differ from Cursor or Copilot?

Cursor and Copilot are interactive tools that wait for your next keystroke. Swarmt doesn’t wait. It runs a swarm of agents with roles and memory, working toward a goal you’ve described, whether you’re at your desk or not.

How does Swarmt differ from a one-shot agent like Devin?

One-shot agents run once, produce output, and stop. Swarmt’s agents live for weeks. They maintain memory across tasks, coordinate with each other, and keep working until the goal is reached or you tell them to stop.

What roles do agents have in a swarm?

At launch: an engineer agent writes code, opens MRs, and watches CI; a planner agent breaks goals into cards and refills the backlog; a curator agent maintains the shared hive memory. More personas follow as the platform matures.

Where does Swarmt run? Is my code safe?

On Beamt-hosted infrastructure, in ephemeral Docker containers that are deleted as soon as the task is complete. Swarmt works from a clone of your repo, never the original tree, and never holds onto secrets — those stay in your CI/CD.

Does Swarmt work with my existing CI/CD?

Yes. Swarmt opens MRs and pushes branches; your CI runs against them as it would for any human-authored MR. If CI fails, the engineer agent reads the logs and pushes a follow-up commit.

How is Swarmt priced?

Usage-based. You pay for the work Swarmt does — not for seats, agent count, or repo access. Early-access pricing details ship with the launch.

What happens when an agent gets stuck?

It escalates. A blocked agent surfaces the question to you through the dashboard, marks its card as awaiting input, and the swarm continues with other work. You answer; the agent resumes.

Swarmt is in development.

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