Cargo vs Distributely

Cargo describes itself as go-to-market infrastructure for coding agents: teams define workflows in a Git repository, and Cargo runs them. Its listed building blocks include agents, context, tools, data models, plays, territories, and apps. Workflows can run on triggers or schedules, retry failed steps, and provide a trace of each run. The TypeScript Cargo CDK supports previewing changes, declarative deployment, and rolling back workspace resources. Cargo lists compatibility with Claude Code, Cursor, Codex, Gemini CLI, Devin, and Replicas, plus more than 100 integrations including HubSpot, Salesforce, Slack, Apollo.io, OpenAI, and Anthropic. Credits cover enrichment actions, orchestration steps, and storage inserts; 100 orchestration steps or 1,000 storage inserts consume one credit. If credits run out, existing workflows pause until credits are added, though the pricing FAQ says data is not lost. The 100-credit plan costs nothing; paid plans start at $165/mo. Cargo says it maintains a SOC 2 Type II report and does not use Slack data or Customer Content to train foundation models.

Distributely has no write-up on Specifiction yet; its figures are above.