Hatchet
The Distributed Task Queue for More Resilient Web Applications
About Hatchet
Hatchet is a distributed, fault-tolerant task queue which replaces traditional message brokers and pub/sub systems - built to solve problems like concurrency, fairness, and durability.
Key Features
- Distributed task queue
- Open-source declarative SDKs
- Designed for scaling challenges
Use Cases
- Fairness for Generative AI: Hatchet distributes requests for generative AI models fairly, preventing busy users from overwhelming the system.
- Batch Processing: Hatchet efficiently handles large-scale processing of documents, images, and other data, with the ability to resume mid-job after failures.
- Workflow Orchestration: Hatchet orchestrates complex workflows with multi-modal inputs and outputs, allowing for efficient execution of tasks with dependencies.
- Event-Based Processing: Hatchet excels at responding to internal or external events and automatically replays them if needed, ensuring reliable processing.
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User Reviews 5
Athos Couto
EnterOur AI agents process hundreds of thousands of documents for our customers, including leading financial institutions and corporations. Hatchet's parallelization feature allows us to ingest massive amounts of data from these documents and simultaneously execute next steps, quickly and reliably at scale.
2026-06-03Tim Su
DistillDistill uses Hatchet to power deep research on millions of people and companies. We've been Hatchet users since day one and have loved the scalability, reliability, and observability of the platform.
2026-06-03Soohoon Choi
GreptileWith Hatchet, we've scaled our indexing workflows effortlessly, reducing failed runs by 50% and doubling our user base in just two weeks!
2026-06-03Vere Whittome
Kaylie.aiDental practices use our AI agents to automate repetitive tasks, like verifying insurance plans, giving patients estimates, and processing claims, that require both speed and accuracy. Hatchet is critical infrastructure for our agentic processes, providing world-class orchestration, observability, and scalability in one platform.
2026-06-03Ymir Egilson
AevyHatchet enables Aevy to process up to 50,000 documents in under an hour through optimized parallel execution, compared to nearly a week with our previous setup.
2026-06-03Frequently Asked Questions
- Distributed task queue
- Open-source declarative SDKs
- Designed for scaling challenges
Details
- Category: Agent Builder
- Industry: Technology
- Access: Open Source
- Pricing: Free
- Created By: Hatchet