Dev Tools
open-terminal
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View guide →// devtools · strukto-ai/mirage
mirage
mirage is an open-source dev tools project by strukto-ai (strukto-ai/mirage on GitHub). It has 3,681 GitHub stars and 272 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
A virtual terminal and filesystem that lets AI agents work across S3, Drive, Slack, Gmail and more.
★ 3.7k stars⑂ 272 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- strukto-ai/mirage
- GitHub stars
- 3,681
- Forks
- 272
- License
- Apache-2.0
- Last updated on GitHub
- 8 October 2026
- Category
- Dev Tools
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Clarify your goal
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
- Get the project
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
- Install and configure
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
- Run your first task
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
// features
Why people love it
Unified virtual filesystem
Many sources mounted side by side under one root, reachable with standard unix tools.
Virtual CLIs
Tools such as git and slack are answered by Mirage itself — nothing to install per service, with separate credentials per virtual tool.
Routed runtimes
Python, JavaScript and other commands run in-process, sandboxed or remotely, decoupled from storage.
Agent profiles
allow / ask / deny govern commands and CLIs; hide / show govern files, so hidden paths are absent, not just unreadable.
Policy engine
A scriptable policy can block dangerous actions before they run, gating every VFS operation and session write.
Live notifications
External changes arrive as an event stream on the mount, so agents react instead of rescanning.
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// run it
Run it yourself
- Clone the repository
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/strukto-ai/mirage.git cd mirage - Install Mirage
Install the Python package/CLI or the TypeScript SDK as the README's Installation section describes.
uv add mirage-ai # installs the mirage library and the mirage CLI binary # or run without installing: uvx mirage-ai - Try the quickstart
Follow the README quickstart (Python, TypeScript or CLI) to mount a source and run a first command across it.
mirage # see README quickstart for the exact first commands
// use cases
What you can build
- Let an agent grep across Slack, Drive and S3 in one command
- Give an agent a sandboxed terminal without installing per-service SDKs
- Run a script stored in Slack and file its report into Redis
- Enforce allow/deny policies on what an agent can touch
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// faq
Questions, answered
Who maintains mirage?
It is maintained by strukto-ai on GitHub (strukto-ai/mirage), where the source, issues and releases live.
Is it free to use?
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Does it need a paid API key?
Mirage itself needs no LLM key; you connect your own service credentials, and your agent brings its own model access.
How does it compare to writing separate SDK integrations or MCP servers per service?
Compared with writing separate SDK integrations or MCP servers per service, mirage's distinguishing focus is: a virtual terminal and filesystem that lets AI agents work across S3, Drive, Slack, Gmail and more. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
How do I get started?
Clone https://github.com/strukto-ai/mirage (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
// keep exploring
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// more in devtools
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Get mirage
Free and open — grab the source, star the repo, and start creating.