forkd vs mirage

The two are close in size: 2.8k stars for forkd, 3.6k for mirage. Over the days we have tracked them forkd moved +50.8% and mirage +16.6%, so forkd is growing faster right now.

mirage leads on context depth and noise control and customization and model freedom and setup ease. forkd does not take any axis by a clear margin.

Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.

Where they stand today

Provides near-fork(2) microVM spawn and live BRANCHing via snapshot copy-on-write, enabling KVM-isolated agent fan-out with millisecond-scale latency.

Stars
2.8k
Tracked growth
+50.8%
Maturity
Last commit
2d ago
Language
Rust
License
Apache-2.0
Cost to run
Free, self-hosted

Mounts dozens of services (S3, Slack, Gmail, databases, etc.) side-by-side as a single POSIX-like virtual filesystem so agents can use bash-native pipelines across backends.

Stars
3.6k
Tracked growth
+16.6%
Maturity
Last commit
24m ago
Language
TypeScript
License
Apache-2.0
Cost to run
Free, self-hosted; external API costs apply
0%+51%90 tracked days
deeplethe/forkdstrukto-ai/mirage

Six axes, head to head

Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.

Axisforkdmirage
Context depth
How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository.
Diff only
Whole workspace
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
None
Basic filters/config
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
CLI / REST options
Extensible commands
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
Fully local
Self-hostable
Model freedom
Whether you can point it at any provider, or it is wired to one.
No model support
Multiple adapters
Setup ease
What it takes to get a first useful run out of it.
Kernel + root req
CLI / SDK quickstart

Which one to pick

Pick forkd if…

Ultra-fast fan-out — pick forkd when you need hundreds of warmed, KVM-isolated microVM sandboxes and the ability to snapshot/branch a running agent mid-thought.

Runs in cli. Works with other-fixed.

Pick mirage if…

Unified VFS — pick Mirage when you want agents to access remote services and local files through one POSIX-style filesystem, enabling cross-backend commands, portable workspaces, and embeddable runtimes.

  • Context depth: Whole workspace (5/5 against 1/5)
  • Noise control: Basic filters/config (3/5 against 1/5)
  • Customization: Extensible commands (5/5 against 3/5)
  • Model freedom: Multiple adapters (3/5 against 1/5)
  • Setup ease: CLI / SDK quickstart (4/5 against 2/5)
Runs in cli, web-app, coding-agent-plugin. Works with openai, anthropic, other-fixed.

What people want from each one

Questions people ask

Is forkd better than mirage?

mirage leads on context depth and noise control and customization and model freedom and setup ease. forkd does not take any axis by a clear margin. forkd is worth picking when ultra-fast fan-out — pick forkd when you need hundreds of warmed, KVM-isolated microVM sandboxes and the ability to snapshot/branch a running agent mid-thought.

Which of forkd and mirage keeps my code private?

forkd: Fully local (5/5). mirage: Self-hostable (4/5).

What does each one cost to run?

forkd: Free, self-hosted. mirage: Free, self-hosted; external API costs apply.

Full profiles: deeplethe/forkd and strukto-ai/mirage. Everything else in Runtimes & sandboxes.