hatchet.run

What It Is

Hatchet is an orchestration engine built for teams, with a focus on AI Agents, Durable Execution, and Parallel Workloads. Its core value is unifying background jobs, parallel workloads, and task execution in AI scenarios into a reliable, scalable, and secure solution. The site also emphasizes that it can be used to consolidate legacy orchestration, and claims to process over 100 million tasks/day for AI-first companies.

Core Capabilities and Ecosystem

Based on the available content, Hatchet is not positioned as a traditional CI/CD tool or code editor, but rather as production-grade infrastructure for task orchestration and execution. Its plans scale from Developer, Team, and Scale to Enterprise, gradually increasing limits around users, tenants, data retention, throughput, audit logs, and compliance capabilities. The Enterprise plan includes SSO/SAML, audit logging, HIPAA, latency guarantees, custom SLAs, dedicated support and onboarding, as well as Bring your own cloud and self-host support. Unfortunately, the page does not disclose specific details about supported programming languages, frameworks, APIs, or SDKs. We can only confirm that there is a Docs entry point, but cannot assess documentation quality or integration complexity.

Pricing

The pricing structure is fairly clear: the Developer plan starts free, includes the first 100,000 task runs, then charges $10/1M runs, with no credit card required. It is suitable for proof-of-concept work and small-scale development. Team costs $500/month + usage and includes 10 users, 5 tenants, 3 days of retention, and 500 RPS. Scale costs $1,000/month + usage and includes unlimited users and tenants, 7 days of retention, audit logs, and HIPAA. Enterprise requires contacting sales and is aimed at 300M+ runs/month, compliance needs, and customized cloud deployment scenarios. Annual billing saves 20%.

Pros, Cons, and Who It’s For

Its strengths are clear positioning, a low-friction free trial, a transparent usage-based model, and enterprise capabilities covering compliance, security, BYOC, and self-hosting. The drawbacks are that production plans start at a relatively high price for small teams, Team/Scale data retention windows are limited, and the public materials lack key developer information such as supported languages, SDKs, APIs, and open-source status. Hatchet is best suited for teams building AI Agents, reliable asynchronous tasks, and parallel workloads that require production stability and enterprise compliance.

Access from China

The source content does not provide information on accessibility from mainland China, payment methods, or local support, so this remains unknown. If cross-border networking, USD payments, or compliance deployment is a constraint, alternatives such as Temporal, Airflow, Prefect, Dagster, Celery, BullMQ, and Inngest may be worth evaluating.