Agents IA
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All your agents and workspaces in one place — on every device you own.
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Voir le guide →smolvm est un projet de agents IA open source, créé par smol-machines (smol-machines/smolvm sur GitHub). Il compte 6 616 étoiles sur GitHub et 324 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.
An embeddable, portable, branchable microVM that runs AI agents safely on your own machine.
Decide which agent or untrusted workload you want to run inside a hardware-isolated VM instead of directly on your host.
Install smolvm with Homebrew on macOS or the install script on macOS and Linux.
Create a machine from an OCI image or a local Docker image, and explicitly allow only the network hosts, mounts and ports it needs.
Run a one-off command in a disposable VM, or start a named machine and exec into it.
Each workload runs in its own VM with its own kernel, built on libkrun, so agent code never runs directly on the host.
Save a running machine mid-execution, rewind it, or branch it into copy-on-write copies that keep running from the same point; checkpoints capture RAM, CPU state and disks.
Pack a configured machine into a single .smolmachine file, push it to any OCI registry, or ship it as a self-contained executable; checkpoints restore on another host.
Networking is off by default and egress can be limited to named hosts; workloads can use a credential without ever reading it.
Run existing images directly, including piping a local image in with docker save — no registry required.
Drive machines from Node/TypeScript (npm install smolmachines), Python (pip install smolmachines) or Rust (cargo add smolmachines).
Clone smolvm to read the source and docs (the CLI itself installs via the script in the next step).
git clone https://github.com/smol-machines/smolvm.git
cd smolvmInstall smolvm on macOS with Homebrew, or on macOS/Linux with the official install script.
brew install smol-machines/tap/smolvm
# or: curl -sSL https://smolmachines.com/install.sh | bashRun a one-off Alpine VM with networking enabled, removed on exit.
smolvm machine run --net --image alpine -- uname -asmol-machines maintains smolvm, with documentation and SDKs published at smolmachines.com.
Yes — it is open source under the Apache-2.0 license. The project also offers a hosted smol cloud for restoring checkpoints, which is separate from the local runtime.
No. smolvm is a local VM runtime; it runs whatever images and commands you give it and needs no LLM or cloud API key.
Docker containers share the host kernel; smolvm gives every workload its own kernel in a hardware-isolated microVM, and adds checkpoint, rewind and branching of live machines.
Install the CLI, then run smolvm machine run --net --image alpine -- /bin/sh for an interactive shell in a throwaway VM.
All your agents and workspaces in one place — on every device you own.
Durable, composable AI agents — flows that crash and resume, retry safely, and explain every step.
A secure, fast sandbox runtime where AI agents can execute safely.
A coding agent that runs on your model, your machine, your rules.
Stanford's Generative Agents simulation - 25 AI characters living in a virtual town
Open-source AI coworkers, each with a computer of their own.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si smolvm ne vous convient pas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de smolvm — continuez à explorer de part et d'autre.
A payments protocol for the internet — built on plain HTTP.
Durable, composable AI agents — flows that crash and resume, retry safely, and explain every step.
AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
An MCP server and CLI that lets AI agents build, test and run iOS and macOS projects.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.