Octomind
An open-source runtime for AI agents that keeps working unattended — on a schedule or in the background — on persistent cloud machines with spending controls.
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Description
Running an AI agent isn't just about chatting with it — sometimes you want it to keep working on a task in the background, check in on a schedule, or run reliably in production without you babysitting it. Octomind is built for exactly that: a runtime that lets AI agents run independently on persistent cloud machines, with clear records of what they did and hard limits on what they're allowed to spend.
Octomind is an open-source AI agent runtime that lets you swap between model providers (OpenRouter, Anthropic, OpenAI, Google, DeepSeek, Bedrock, Ollama) mid-session, define deterministic guardrails in TOML config rather than hoping the agent behaves, and access agents through a terminal, CI scripts, a background daemon, or IDE integrations. Its "Routines" feature adds natural-language scheduling so agents can run recurringly with persistent state across runs. It's Apache 2.0 licensed and fully self-hostable, so the open-source binary itself is free; the optional cloud tier adds hosted persistent machines with tiered spending allowances.
💬 Our review
The short version: Octomind is a solid pick if you specifically need agents that keep running unattended on a schedule with hard spending caps and model flexibility — its own benchmark claims materially better cost-efficiency than OpenCode, though that's a self-reported number worth taking with a grain of salt.
On pricing, the free tier's $0.15/day allowance is tight for anything beyond light testing, and the jump to Pro ($20/month) or Max ($100/month) is where the scheduled-Routines feature actually becomes usable more than once a day. Compared to OpenCode, Octomind's self-reported benchmark (24/25 tasks for $63 vs 19/25 for $130) is a meaningful efficiency claim, but as with any vendor-run benchmark it's worth validating on your own workload before committing budget. The real differentiator is the combination of self-hosting, multi-provider flexibility, and deterministic TOML guardrails — useful if you don't want to be locked into a single model vendor or a black-box agent loop.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit (binaire open source auto-hébergeable) ou cloud payant : Free 0,15$/jour, Pro 20$/mois, Max 100$/mois, Team 500$/mois.
Pros
Auto-hébergeable et open source (Apache 2.0), pas de dépendance cloud obligatoire
Change de fournisseur de modèle en cours de session (OpenRouter, Anthropic, OpenAI, Google, DeepSeek, Bedrock, Ollama)
Garde-fous déterministes configurables en TOML plutôt que de simples instructions en langage naturel
Agents planifiés (Routines) avec état persistant entre les exécutions
Cons
Palier gratuit très limité (0,15$/jour) pour un usage réel
Comparatif de performance face à OpenCode auto-déclaré, à vérifier soi-même
Fonction Routines vraiment utile seulement à partir du palier Pro (20$/mois)
Écosystème encore jeune comparé aux frameworks d'agents plus établis