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docs: update readme to reflect new features#3792

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belanger/readme-updates
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docs: update readme to reflect new features#3792
abelanger5 wants to merge 2 commits intomainfrom
belanger/readme-updates

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Description

Updates our README to reflect the latest features. Also removes inline README code snippets which aren't tested and versioned.

Type of change

  • Documentation change (pure documentation change)

Copilot AI review requested due to automatic review settings April 30, 2026 15:44
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hatchet-docs Ready Ready Preview, Comment Apr 30, 2026 3:54pm

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Pull request overview

Updates the repository’s top-level README to better reflect Hatchet’s current positioning and feature set, while removing large inline snippets in favor of linking to versioned docs.

Changes:

  • Updated the product tagline and “What is Hatchet?” description to include AI agents and broader orchestration use-cases.
  • Replaced the long, inline feature documentation/snippets with a concise feature list that links to docs pages.
  • Refreshed comparison sections (e.g., “Hatchet vs Temporal”) and removed the “Hatchet vs AI Frameworks” section.

Comment thread README.md Outdated
### What is Hatchet?

Hatchet is a platform for running background tasks and durable workflows, built on top of Postgres. It bundles a durable task queue, observability, alerting, a dashboard, and a CLI into a single platform.
Hatchet is a platform for orchestrating background tasks, AI agents, and durable workflows at scale. It supports applications written in Python, Typescript, Go and Ruby, and can be used as a service through [Hatchet Cloud](https://cloud.onhatchet.run) or [self-hosting](/self-hosting). Hatchet provides a full platform for queuing, automatic retries, durability, real-time monitoring, alerting, and logging.
Comment thread README.md Outdated
### What is Hatchet?

Hatchet is a platform for running background tasks and durable workflows, built on top of Postgres. It bundles a durable task queue, observability, alerting, a dashboard, and a CLI into a single platform.
Hatchet is a platform for orchestrating background tasks, AI agents, and durable workflows at scale. It supports applications written in Python, Typescript, Go and Ruby, and can be used as a service through [Hatchet Cloud](https://cloud.onhatchet.run) or [self-hosting](/self-hosting). Hatchet provides a full platform for queuing, automatic retries, durability, real-time monitoring, alerting, and logging.
Comment thread README.md Outdated
Hatchet's [durable tasks](https://docs.hatchet.run/v1/durable-tasks) feature is a drop-in replacement for Temporal or DBOS workflows. You also get:

**When to use Hatchet:** when you'd like to get more control over the underlying queue logic, run DAG-based workflows, or want to simplify self-hosting by only running the Hatchet engine and Postgres.
- End-to-end observability of durable tasks using observability, monitoring and logging
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3 participants