Your own engineer

There are many agents, but this one is mine.

A persistent engineering agent living in a private Firecracker VM you own. It remembers every file, every decision, every past run — and keeps working when you are away. Model calls are zero-retention. All state stays inside your VM. No tracking. No training on your code.

Start now Read the technical brief

Stateless agents start from zero. Ours compound.

Chat agents are request-response processes that die on refresh and leak your prompts into vendor training pipelines. Morse agents are stateful Linux processes that live in a private VM you own — and stay out of everyone else's reach.

Stateless chat agents
Morse Computer agents
No filesystem access
Full Linux filesystem you own
Context lost on refresh
Context persists indefinitely
Stops when the tab closes
Runs 24/7 on its own schedule
No memory between sessions
Structured, queryable long-term memory
Cannot execute code
Runs shells, tests, commits
Data stored on vendor servers
All state stays in your VM
Prompts retained for training
Zero-retention LLM calls
Opaque telemetry
No tracking, no training on your code
Shared runtime
Isolated Firecracker microVM
No audit trail
Every action logged locally

Your workspace, not their datacenter. Files, shell history, memory, and chat all live in a Firecracker VM you own. Model calls route through zero-retention providers — no prompts are kept, no model is trained on your code.

Runs when you don't. Morse agents are processes, not sessions. Give one a goal on Monday, close the tab, check back Wednesday. It schedules its own runs, writes tests, and leaves a log of every command it executed while you were gone.

Compounding, not flat. A chat agent's value is bounded by its context window. A stateful agent's value grows with each task — it remembers your conventions, your edge cases, and every past decision. A stateless agent assists; a stateful agent owns a codebase.

Inspect everything. Trust what you see.

Each agent operates in an isolated workspace you can examine at any time. Review its file changes, command history, and reasoning log. Full transparency is the default.

morse-agent — ~/projects/platform
$ morse status
agent: online | tasks: 2 active | uptime: 6h 34m
workspace: /home/morse/projects/platform
last activity: 4 minutes ago
$ morse log --since "2 hours ago"
[12:14] analyzed 23 API endpoints for deprecation
[12:31] drafted migration plan: api/v1 → api/v2
[12:45] wrote 14 replacement handlers in src/api/v2/
[13:02] test suite: 89/89 passed
[13:08] committed: "refactor: migrate auth and billing to v2"
[13:15] began next task: update client SDK bindings
$ morse diff --last-commit

Built for environments where trust is non-negotiable.

Morse Computer is designed for regulated industries and security-conscious organizations. Isolation, auditability, and control are architectural principles, not afterthoughts.

Workspace isolation

Each agent runs in its own sandboxed container with no network access to other workspaces. Your codebase is never co-located with another customer's data.

Complete audit logging

Every command, file operation, and API call is recorded with timestamps. Export logs to your SIEM. Retention policies are configurable to your compliance requirements.

Bring your own infrastructure

Deploy Morse Computer agents on your own VPC, on-premises, or air-gapped environments. Data never leaves your perimeter unless you explicitly configure it to.

Role-based access control

Define who can create agents, inspect workspaces, approve changes, or deploy to production. Integrates with your existing identity provider via SAML and OIDC.

Three steps to a stateful engineering agent.

01

Provision a workspace

Define the environment: OS, dependencies, toolchains, and access policies. Deploy to Morse Computer Cloud or your own infrastructure.

02

Assign and delegate

Describe the objective. The agent plans, breaks down tasks, and begins execution. You monitor, redirect, or disconnect as needed.

03

Review and iterate

Return to inspect completed work, review diffs, and approve changes. The agent retains everything for the next assignment.

Deploy agents that compound.

Stop resetting context every session. Give your engineering team agents with memory, persistence, and the autonomy to see complex work through.