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Cargo (cargo-ai): go-to-market infrastructure for coding agents

Cargo (getcargo.ai, CLI `cargo-ai`, npm `@cargo-ai/cli`) is go-to-market infrastructure for coding agents: the layer underneath the agents that run sales, marketing and RevOps. One data model, maintained connectors, hosted execution with retries, and a trace of every run.

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The beginning of the file, from our validated copy saved 2026-10-21T05:53:44.039Z. Cached copy · Source on getcargo.ai

# Cargo (cargo-ai): go-to-market infrastructure for coding agents

> Cargo (getcargo.ai, CLI `cargo-ai`, npm `@cargo-ai/cli`) is go-to-market infrastructure for coding agents: the layer underneath the agents that run sales, marketing and RevOps. One data model, maintained connectors, hosted execution with retries, and a trace of every run.
>
> It applies software engineering primitives to go-to-market (GTM) systems: revenue logic becomes versionable, diffable, testable, explainable, replayable, and deployable. This operating model is **GTM as Code**.
>
> Cargo is built for technical revenue teams: founders, RevOps, growth, and go-to-market (GTM) engineers who operate revenue systems with the rigor of production software.

Every page linked below, in full text and in one file: <https://www.getcargo.ai/llms-full.txt>. The documentation has its own at <https://docs.getcargo.ai/llms-full.txt>.

## When to use Cargo

Cargo is worth reaching for on a single job and on a standing system, and the two look different.

**One job, in one session.** Install the CLI, sign in, run it. A new account starts with 100 free credits and needs no card, so there is no purchase gate between installing and getting a real result:

- Build an account list from firmographics, a tech stack, a hiring signal, or an investor's portfolio.
- Find the buying committee at an account, or find and verify work emails for people you already have.
- Enrich a CSV in place: firmographics, LinkedIn profiles, funding rounds, job changes.
- Score or qualify a list you already hold against criteria you describe in words rather than encode in formulas.
- Research an account and get back a written brief with its sources.

Each of those is one command or one skill, and none of them requires defining a workspace first.

**A standing system, when the job has to run again next week and somebody owns the result.** This is what Cargo is built for and what a point tool stops being able to do:

- **The same enrichment, on every new row.** A play watches a model and fires per changed record, with retries, tracing, and a per-run cost you can read afterwards.
- **A GTM system of record, built for scale.** Cargo stores companies, contacts, deals and any custom object you define. Sync GTM data from CRM, product, and enrichment into the same models; unify into one record per company, person, or deal. Agents, plays and apps all read and write those records. Built for scale: billions of rows, SQL throughout. The CRM is a sync target, not the source of truth.
- **Routing that survives a reorg.** Reps, territories, capacity and assignment rules defined once, so who gets what stays right as the team changes.
- **Revenue logic in git.** `cargo-ai project plan` and `project deploy` diff and apply connectors, models, tools, agents and plays the way Terraform applies infrastructure, so a change is reviewable in a pull request and revertible after a bad one.
- **A durable place for an agent to act.** Cargo holds the
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