Les meilleurs agents IA open source et assistants IA personnels

Checklist

Checklist

	OpenClaw	Hermes Agent	nanobot	ZeroClaw	Agent Zero	Rakazo	NanoClaw
Licence open source	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Fonctionne avec des modèles locaux	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Sandbox par défaut	Non	Non	Non	Oui	Oui	Oui	Oui
Pas de télémétrie par défaut	Non	Oui	Oui	Oui	Non	Oui	Non
Vit dans vos messageries	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Travaille pendant votre absence	Oui	Oui	Oui	Oui	Oui	Oui	Oui

Meilleurs choix

1. 

   OpenClaw

   Gratuit

   Free, MIT-licensed personal AI agent that runs on your own computer and takes orders from WhatsApp, Telegram, iMessage, Slack and 20+ other chat apps.

   The biggest ecosystem and every chat app, but sandboxing is off and telemetry is on by default.

   Points forts

   • Free and MIT licensed, with no paid tier
   • Runs on your own hardware, and state, memory and credentials stay there
   • Works in 29 chat channels, including WhatsApp, Telegram, iMessage, Slack, Discord and Microsoft Teams
   • Model-agnostic: 64 model and media providers, plus local models
   • Large ecosystem of skills and 142 official plugins, and very active development

   Points faibles

   • Model costs are on you and can run high: testers and users have reported spending over $100 in a day with expensive models
   • Sandboxing is off by default and the agent can run commands on the host unless you turn on approvals
   • Setup and upkeep expect comfort with the command line; maintainers warn it is risky for non-technical users
   • Broad access to email, messages and the system makes prompt injection and malicious third-party skills a real risk
   Aller sur OpenClaw
2. 

   Hermes Agent

   À partir de 20 $US/mois

   Free, MIT-licensed AI agent from Nous Research that runs on your own machine or server, learns reusable skills, and chats with you on Telegram, Slack and more.

   MIT licensed, no telemetry and lives in your chat apps, but commands aren't sandboxed by default.

   Points forts

   • Free and MIT licensed, and runs on hardware you control
   • Writes and refines its own skills from experience, on top of persistent memory and cross-session search
   • One gateway for 20+ chat platforms, including Telegram, Discord, Slack, WhatsApp, Signal and email
   • Run several separate agents as profiles, each with its own model, memory and skills, and let them talk in group chats
   • Model-agnostic, with a one-command import from OpenClaw

   Points faibles

   • Setup expects comfort with the command line and with running your own server
   • Model costs are on you unless you use free models, and hosted web search, images and speech need a paid Nous Portal plan or your own keys
   • iMessage needs a separate BlueBubbles server on a Mac
   • No native mobile app; Android support is a command-line install through Termux
   Aller sur Hermes Agent
3. 

   nanobot

   Gratuit

   Free, MIT-licensed personal AI agent in Python with a browser UI and terminal app, scheduled tasks, memory, and chat on Telegram, Discord, Slack and more.

   Small, readable Python with a good web UI and no telemetry, but shell commands aren't sandboxed by default.

   Points forts

   • Free and MIT licensed, with a small Python core that is meant to be read and modified
   • Polished bundled WebUI with projects, file diffs, an MCP app catalog and an automations calendar, plus a terminal UI
   • Many chat channels, including Telegram, Discord, Slack, WhatsApp, WeChat, Feishu, Teams, Matrix and email
   • Scheduled automations, long-running goals and a heartbeat that reports only useful results to your last chat
   • Works with local models through Ollama, vLLM or LM Studio

   Points faibles

   • Shell commands are not sandboxed by default; the bubblewrap or macOS Seatbelt sandbox must be turned on, and Windows has none
   • Model costs are on you, and voice messages need a separate transcription provider such as Groq or OpenAI
   • No native mobile or desktop app; on a phone you use the WebUI in a browser or a chat app
   • Missed scheduled runs are not replayed and interrupted subagent tasks are not relaunched after a restart
   Aller sur nanobot
4. 

   ZeroClaw

   Gratuit

   Personal AI agent in one Rust binary, MIT or Apache-2.0, with local or cloud models, 30+ channels, approval gates and an OS sandbox on by default.

   Meets every check: one Rust binary, approval gates and an OS sandbox on by default, no telemetry, local models.

   Points forts

   • Safe defaults: the recommended profile asks before medium-risk actions, blocks high-risk ones, keeps files in the workspace and runs tools in an OS sandbox
   • One small Rust binary with one config file, running on macOS, Linux, Windows and boards like a Raspberry Pi
   • More than 30 channels, plus a web dashboard for chat, memory, config and cron
   • Provider fallback chains, local models through Ollama, and cryptographic receipts for tool calls
   • States plainly that it sends no telemetry and needs no cloud account or license server

   Points faibles

   • Slack, iMessage, Signal and several other channels are not in the standard release; you build from source with extra features to get them
   • `zeroclaw quickstart` only sets up the model provider; channels and risk profiles mean editing the TOML config file
   • The Docker sandbox backend isn't picked automatically under the default native runtime
   • Model costs are on you
   Aller sur ZeroClaw
5. 

   Agent Zero

   Gratuit

   Free, MIT-licensed AI agent that runs in its own Docker Linux workspace with a terminal, browser and desktop apps, and chats on Telegram and WhatsApp.

   Runs in its own Docker container with local models, but sends telemetry by default.

   Points forts

   • Free and MIT licensed, with frequent releases (v2.11 to v2.15 between late August and early November 2026)
   • The agent works in its own Linux workspace with a terminal, browser, desktop apps and LibreOffice, isolated from your computer unless you grant host access
   • Web search runs through a local SearXNG instance, and speech-to-text and text-to-speech can run locally
   • Projects keep memory, files, secrets, instructions and model choices separate per job, with workspace snapshots you can roll back
   • Built-in Telegram, WhatsApp and email channels, a scheduler, MCP and a community Plugin Hub with 200+ plugins

   Points faibles

   • Needs Docker, and the container image is a full Linux desktop environment rather than a small service
   • No built-in image generation; the docs show teaching it an image API yourself
   • By default it checks for updates with Agent Zero's server, sending your version and a hashed instance ID
   • Code runs in the same container as Agent Zero itself today; per-task sandboxes are only a v3 prototype
   • WhatsApp works by linking a phone account through a Baileys bridge, which needs Node.js, rather than the official WhatsApp Business API
   Aller sur Agent Zero
6. 

   Rakazo

   À partir de 10 $US/mois

   Open-source, self-hostable platform for persistent AI bots that each get a job, a computer, memory and routines, using the model you choose.

   Our own product. Meets every check: Apache-2.0, sandboxed bot computers, no telemetry by default, any model you connect.

   Points forts

   • Open source (Apache-2.0) and fully self-hostable, including with local models
   • Choice of model per bot, including existing Claude or ChatGPT subscriptions
   • Bots keep working on schedules and triggers with their own cloud computer
   • Approval controls over which actions a bot may take on its own

   Points faibles

   • Still in beta, with frequent releases
   • You supply and pay for the model on the hosted plans, unless you buy Rakazo credits
   • Telegram, WhatsApp and iMessage/SMS are only available when self-hosted
   • More setup than a single chat app
   Aller sur Rakazo
7. 

   NanoClaw

   Gratuit

   Small, MIT-licensed OpenClaw alternative that runs each agent in its own Docker container and chats with you on WhatsApp, Telegram, Slack, Discord and more.

   Every agent in its own container and a tiny codebase, but tied to Claude Code and sends setup diagnostics by default.

   Points forts

   • Every agent runs in its own Docker container and sees only the folders you mount, so shell access stays off your host
   • Small codebase (one host process and a handful of files) that you customize by having Claude Code edit your fork
   • Agents never hold raw API keys: outbound calls go through a credential gateway with per-agent policies and rate limits
   • Many chat channels, including WhatsApp, Telegram, Slack, Discord, iMessage, Teams, Matrix and email, with one or several agents per channel
   • Scheduled tasks with optional script gates that skip waking the agent when there's nothing to do

   Points faibles

   • Built around Claude and Claude Code: customizing, debugging and adding channels all go through Claude Code
   • Sends anonymous setup diagnostics unless you set NANOCLAW_NO_DIAGNOSTICS=1
   • No config files by design, so every change means editing code in your own fork
   • Needs Docker, and Windows only works through WSL2
   Aller sur NanoClaw

Fonctionnalités

Fonctionnalités

	OpenClaw	Hermes Agent	nanobot	ZeroClaw	Agent Zero	Rakazo	NanoClaw
Recherche web	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Génération d'images	Oui	Oui	Oui	Oui	Non	Oui	Inconnu
Mode vocal	Oui	Oui	Oui	Oui	Oui	Oui	Inconnu
Envoi de fichiers	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Mémoire	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Agit à votre place	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Intégrations d'apps	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Travaille en autonomie	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Vous écrit en premier	Oui	Oui	Oui	Oui	Oui	Oui	Oui
Plusieurs bots	Oui	Oui	Oui	Oui	Oui	Oui	Oui

Sources