Hatchet is a single platform for orchestrating AI agents, scheduling background tasks, and running mission-critical workflows.
Users appreciate "Hatchet" for its innovative approach to workflow automation, particularly its integration with AI like Claude for generating TypeScript code without relying on a traditional visual editor. However, there are limited specific complaints noted in the provided content, indicating either a lack of widespread usage or undeveloped critique due to newness. Pricing sentiment is not mentioned, leaving it an unknown factor in its reception. Overall, "Hatchet" seems to carry a positive reputation centered around its technical novelty and unique capabilities in streamlining automation processes.
Mentions (30d)
1
Reviews
0
Platforms
2
GitHub Stars
7,011
357 forks
Users appreciate "Hatchet" for its innovative approach to workflow automation, particularly its integration with AI like Claude for generating TypeScript code without relying on a traditional visual editor. However, there are limited specific complaints noted in the provided content, indicating either a lack of widespread usage or undeveloped critique due to newness. Pricing sentiment is not mentioned, leaving it an unknown factor in its reception. Overall, "Hatchet" seems to carry a positive reputation centered around its technical novelty and unique capabilities in streamlining automation processes.
Features
Use Cases
Industry
information technology & services
Employees
8
Funding Stage
Seed
Total Funding
$0.1M
108
GitHub followers
28
GitHub repos
7,011
GitHub stars
20
npm packages
Pricing found: $10, $500 /mo, $1,000 /mo
I made Claude generate and run durable workflows
I wanted workflow automation where Claude writes the actual TypeScript instead of configuring connectors in a visual editor. The interesting technical part: Claude uses MCP tools to generate and deploy Hatchet workflows directly from a plain English description. Hatchet handles the durable execution, retries, state persistence, long waits. The human-in-the-loop piece was the tricky part. A workflow needs to pause durably, wait for a Slack approval, and resume, surviving server restarts in between. Hatchet's durable tasks solve this cleanly. Demo in the video. Code on GitHub if anyone wants to dig in. Website: https://zyk.dev Github: https://github.com/zyk-hq-dev/zyk submitted by /u/integrationwise [link] [comments]
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Deep analysis of hatchet-dev/hatchet — architecture, costs, security, dependencies & more
Pricing found: $10, $500 /mo, $1,000 /mo
Key features include: Automatic retries for failed tasks, Intelligent rate limiting to optimize performance, Checkpointing for long-running workflows, Real-time data access for context construction, Integration with vector databases, Support for knowledge graphs, Customizable task scheduling, Error handling and logging capabilities.
Hatchet is commonly used for: Ingestion Indexing Pipelines, AI Requests Agents, Massive Parallelization.
Hatchet integrates with: PostgreSQL, MongoDB, Elasticsearch, AWS S3, Google Cloud Storage, Azure Blob Storage, Zapier, Slack, Trello, Jira.
Hatchet has a public GitHub repository with 7,011 stars.
