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ShuxinYang111 / oysterworkflow

Teach AI how your work actually gets done. Capture real computer work, extract the workflow graph and judgment, then run it with Codex or your own agent.

Why this job: topics: computer-use, workflow-automation

Open on GitHub (opens in new tab)Website (opens in new tab)
OysterWorkflow turns recorded computer work into a reusable workflow graph
OysterWorkflow captures real multi-app work and separates repeatable signals from noise
OysterWorkflow turns captured evidence into inspectable workflow steps with intent, hints, assets, and approval rules
Watch OysterWorkflow turn real work into reusable agent experience
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What it does

OysterWorkflow is an open-source work-experience layer for your AI agent, as well as a powerful automation tool for your daily work. It runs alongside you, observing on-screen information, mouse clicks, and keyboard input, while also receiving your voice instructions. Oyster use behavioral psychology model to infer your intent and decision-making process, automatically captures your workflows, and generates self-evolving automation harnesses for your agents. Oysterworkflow works with Codex, Claude, and other AI agents.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 3 months ago
Stars
175
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
Mac
From the latest release
Latest version
v0.2.3
Released 3 months ago
Built with
TypeScript
88% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
100% closed
0 still open
Pull requests
6 merged
3 waiting
Releases
7
7 in the last year

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More: download files, languages, topics and project record

Download files, v0.2.3

  • Mac1 file, 21 downloads

All files on GitHub (opens in new tab)

Languages

  • TypeScript 88%
  • JavaScript 8%
  • CSS 4%
  • HTML <1%

Topics

  • ai-agents
  • codex
  • computer-use
  • desktop-automation
  • macos
  • mcp
  • workflow-automation
  • workflow-graph

Project record

  • JobAutomation and scraping
  • StatusListed
  • Commits31
  • Forks9
  • Watching8
  • Stars in 28 days0
  • CreatedApr 18, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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