Federaide
Free, open-source app that runs a team of AI agents locally on your own computer or phone to automate everyday tasks
🔗 Visit Federaide
Description
Most multi-agent AI tools run in someone else's cloud and charge a subscription for it. Federaide flips that: it's a free, open-source app that runs entirely on your own device — Mac, PC, Linux, or even Android via Termux — coordinating a team of AI agents that work together as equals rather than in a rigid hierarchy, automating tasks directly on your desktop or mobile device.
It connects to external LLM providers you already have access to (OpenAI, or any OpenRouter-compatible service), and includes a built-in IDE with code execution and voice interaction for controlling agents. The project explicitly emphasizes accessibility for underserved regions and a capability-first design philosophy, positioning it as an alternative to closed, cloud-locked agent platforms.
💬 Our review
The short version: Federaide is a genuinely free, self-hosted alternative to cloud multi-agent platforms — you bring your own LLM API key, and the orchestration itself costs nothing beyond your model usage.
Against cloud multi-agent services like Taurus (which bundle managed infrastructure and charge monthly), Federaide's trade-off is the classic self-hosted one: no subscription fee, but you're responsible for running it yourself and supplying your own LLM credentials, so your real cost is whatever your chosen model provider charges per token. Running on Android via Termux and supporting local device automation is a distinctive feature most competitors don't offer at all. Worth it if you're comfortable self-hosting and want zero platform lock-in; less appealing if you'd rather pay a flat subscription and not think about infrastructure.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit et open-source (AGPL-3.0). Coût réel = les appels API du fournisseur LLM choisi (OpenAI, ou tout service compatible OpenRouter), à la charge de l'utilisateur.
Pros
Entièrement gratuit et open-source (AGPL-3.0)
Tourne en local sur Mac, PC, Linux, et même Android via Termux
IDE intégré avec exécution de code et interaction vocale
Aucun verrouillage propriétaire — on choisit son fournisseur LLM
Cons
Auto-hébergement requis, pas de service managé
Coût réel des appels LLM à la charge de l'utilisateur
Projet jeune (13 étoiles GitHub), écosystème/communauté encore limité