Who is agentOS for?

From personal assistants to enterprise fleets, Agent OS powers every kind of AI agent.

Purpose-built for agents that write, test, and deploy code autonomously.

Example

An agent that takes a GitHub issue, writes the fix, runs tests, and opens a pull request.

Long-running agents that operate asynchronously, processing tasks over hours or days without human intervention.

Example

A code migration agent that refactors a large codebase over several hours, committing changes incrementally.

Run agent evaluations and benchmarks at scale without spinning up expensive sandboxes for each test.

Example

Evaluating 10,000 agent responses in parallel to measure performance across different prompts.

Coordinate multiple agents working together on complex tasks with shared state and communication.

Example

A team of agents where one researches, one writes, and one reviews, all collaborating on a document.

Run ETL pipelines, data transformations, and analysis tasks with agent intelligence.

Example

An agent that ingests raw data, cleans it, runs analysis, and generates reports on a schedule.

Chain agent tasks into complex workflows with conditional logic and human-in-the-loop steps.

Example

A hiring workflow where agents screen resumes, schedule interviews, and prepare onboarding docs.

Lightweight agents that assist individual users with daily tasks and workflows.

Example

A personal agent that organizes your calendar, drafts emails, and manages your todo list.

Ready to build?

Get started with Agent OS in minutes. One npm install, zero infrastructure.