// agents · deeplethe/forkd

forkd

forkd é um projeto de agentes de IA de código aberto de deeplethe (deeplethe/forkd no GitHub). Tem 2.923 estrelas no GitHub e 227 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 14 de setembro de 2026.

Fork() for AI agent microVMs — spawn 100 KVM-isolated children in ~100ms from a warm parent

★ 2,9 mil estrelas⑂ 227 forksApache-2.0atualizado set 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Repositório
deeplethe/forkd
Estrelas no GitHub
2.923
Forks
227
Licença
Apache-2.0
Última atualização no GitHub
14 de setembro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
// como funciona

Como funciona

  1. Clarify your goal

    Decide your fan-out shape: parallel agent evals, per-user code execution, untrusted CI, or fork-per-turn code interpretation.

  2. Get forkd

    Install the daemon (or build from source with Cargo) on a Linux host with KVM and Firecracker.

  3. Install and configure

    Run forkd doctor / quickstart to preflight KVM, Firecracker and networking, then pull or bake a warm parent snapshot.

  4. Run your first fork

    Fork a few children from the snapshot tag, run a task in one, and check its timing and isolation.

// recursos

Por que as pessoas gostam tanto

Fast microVM forks

The README reports spawning 100 children in about 100 ms from a warm parent snapshot, sharing memory copy-on-write until they diverge.

Live BRANCH

Pause a running sandbox, snapshot its in-flight state and resume — about 150 ms, with v0.4 live mode cutting the pause window further.

KVM isolation

Each child is a separate Firecracker microVM with real KVM isolation, not just a container namespace.

Diff-snapshot chains

Stack snapshot layers (e.g. Python base, then numpy, then pandas) that the daemon assembles in one pass at spawn time.

Snapshot hub

Pull portable prebaked snapshots such as a LangGraph parent image, or publish your own.

SDKs and MCP

Python SDK (pip install forkd), TypeScript SDK (@deeplethe/forkd) and an MCP server (pip install forkd-mcp) for Claude and Cursor.

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// execute você mesmo

Execute você mesmo

  1. Clone the repo

    Clone forkd and enter the directory.

    git clone https://github.com/deeplethe/forkd.git
    cd forkd
  2. Quickstart preflight

    quickstart preflights the host (KVM, Firecracker, kernel image), bakes or pulls a Python snapshot, then forks 10 children with per-child timings.

    sudo -E forkd quickstart
  3. Pull and fork a snapshot

    Pull a portable snapshot from the hub and fork children from it.

    forkd pull deeplethe/langgraph-react
    sudo -E forkd fork --tag langgraph -n 3 --per-child-netns
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

Who maintains forkd?

It is maintained by deeplethe and contributors on GitHub.

Is forkd free?

Yes, it is Apache-2.0 licensed and self-hosted on your own Linux/KVM host, with no per-second cloud sandbox fees.

Does it need a paid API key?

No — forkd is sandbox infrastructure, not an LLM service. Your agents inside the VMs use whatever model keys you give them.

How does it compare to containers or managed sandbox SaaS?

Containers share a kernel; forkd gives each child its own microVM with KVM isolation, and unlike managed SaaS it runs on your own hardware.

How do I get started?

On a KVM-capable Linux host, install forkd, run sudo -E forkd quickstart, then forkd pull a snapshot and fork your first children.

// continue explorando

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// alternativas

Alternativas em Agentes de IA

Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se forkd não for o ideal para você.

// mais em agents

Mais em Agentes de IA

Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de forkd: continue explorando dos dois lados dele.

Baixe o forkd

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.