Hatchet
A fault-tolerant task queue with low-latency scheduling and fair concurrency control for background tasks, AI agents, and durable workflows.
Tool overview
Hatchet is an orchestration engine designed for modern applications that require high reliability for background tasks, AI agents, and long-running business processes. It provides ultra-low latency, high-throughput scheduling with built-in concurrency control, fair queuing policies (e.g., FIFO, LIFO, round-robin, priority), and rate limiting to protect downstream systems during traffic spikes.
Hatchet offers resilient execution capabilities: customizable retry strategies, error handling, step-level replay, and durable execution ensure quick recovery from transient failures. It also includes comprehensive observability, with fully searchable run logs, latency and error-rate monitoring, and incremental streaming updates, enabling DevOps teams to track workflow states in real time.
As an open-source project, Hatchet can be self-hosted, and a cloud service (Hatchet Cloud) is available to reduce operational overhead, although publicly documented pricing and scalability guarantees remain limited. Users must weigh the tradeoffs between self-hosting and cloud, and account for the learning curve associated with its workflow DSL.