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kassette

Durable agent workflows backed by object storage

Details

External ID
48896793
Source
HN
Company
—
Product
cassette
Website domain
github.com
Launched
July 13, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.505973715651135
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Agent runs often fail after expensive model calls and executing tools that have real-world side effects. This problem is made even worse by how common it is to deploy agents to serverless environments. When your agent dies, it needs to be restarted, but doing so safely isn't easy and everyone building agents has to solve this same problem of durability.The stack you're running probably already has half of what you need for durable execution already though, ie, a queue or job runner that can invoke work at least once. kassette gives you the other half by journaling completed steps to object storage (or a filesystem) so that it can replay them when you retry the same run again. This means you can have durability without having to add a workflow service or even a SQL database.kassette is a tiny, zero-dependency TypeScript library that you can use to build agentic workflows that are just ordinary async functions. Each object storage backed run is a single object that serializes appends via CAS while session numbers fence zombies. Agentic workloads are usually dominated by (relatively) small number of slow llm/tool calls or waiting on approval so this simple design (writes grow large, full journal in a single read) has worked well (more here: https://lostinpatterns.github.io/kassette/docs/object-storag...).repo: https://github.com/lostinpatterns/kassettedocs: https://lostinpatterns.github.io/kassette/

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Workflow automation
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
durable agent workflows with object storage
Manually corrected
False

Could you build this?

Yes Kassette is an agent workflow state checkpointing/replay library storing execution traces in S3/object storage, which is standard CRUD and state machine serialization easily built with an AI assistant.

Discussion

1 comment analyzed.

Competitors mentioned: general purpose durable execution products

Concerns raised: misleading positioning as workflow engine rather than execution primitive, lacks scheduling capabilities

Competitors

Other products that read as similar to this one — 139 launches clear the similarity bar, closest 8 shown.

Attention rank: #68 of 140 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 254 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a workflow automation tool for Real estate yet.