Satirio Agent monitors your inbox, drafts responses, coordinates your calendar, manages workflows: across Gmail, Slack, Telegram, Outlook, WhatsApp, and your filesystem. All local. All yours. All sovereign.
Continuously watches Gmail, Slack, Outlook, WhatsApp, and your filesystem for incoming signals.
Local model scores urgency, intent, and required action. Context enriched from semantic memory.
Generates responses, calendar holds, task extractions, and workflow proposals in your tone and style.
Human-in-the-loop checkpoint. You approve, edit, reject, or regenerate. Nothing sends without consent.
Every edit becomes a memory rule. Preferences, tone corrections, and scheduling habits persist forever.
Unified inbox across all channels. Incoming messages classified by urgency, enriched with history, and surfaced with AI-drafted responses in your voice.
CoreReads availability, proposes meeting windows, stages calendar holds, and coordinates video links, all from a single inbound message.
SchedulingActively parses email threads to surface relevant plugins on-demand. Encounter a travel itinerary? A booking workflow stages itself for one-click consent.
DynamicEvery approval, rejection, or edit is a training signal. Satirio extracts preference rules from your actions and commits them to persistent memory, refining every future draft.
IntelligenceSummarises pull requests, scopes code review time blocks, and translates developer tickets into operational schedules.
Dev OpsHandles structured real-world actions such as bookings, purchases, form submissions, account updates, and service interactions.
AutomationIdentifies action items buried in conversation threads, creates follow-up trackers, and surfaces them in the approval queue before they slip.
ProductivityMaintains persistent memory of tone, preferences, relationships, habits, and decision patterns. Learns to continuously refine behavior across all workflows.
ProductivityEvery action you take trains the system. Every approval refines the tone model. Every edit extracts a preference rule. Satirio commits these to a persistent local memory store, never to cloud nodes.
The result is an assistant that progressively aligns with how you work: your scheduling preferences, your communication style, your trusted contacts, your operational rhythms.
Built on semantic and episodic memory architecture, the semantic store injects relevant context into every reasoning step, so drafts feel less like outputs and more like your own words.
Local processing is the default. Cloud is the exception — and you decide when it applies. Medical, legal, financial, strategic — everything sensitive stays on your workstation.
All reasoning, drafting, classification, and memory operations run locally on your workstation through Ollama-hosted models. Zero telemetry. Zero vendor lock-in. Full offline capability.
For tasks that exceed local model capacity, deep document analysis, complex reasoning chains, multi-modal inputs: cloud models are invoked only with your explicit awareness and consent.
Satirio doesn't act unilaterally. Every output is a proposal. Every approval is a training signal. The more you interact, the less you need to correct.
Draft sent as-is. Preference score for this pattern increases. More similar drafts will auto-queue at higher confidence.
Diff is analysed. Preference rule extracted and committed to memory store. Future drafts of this type pre-apply the rule.
The proposal is dropped. The classification model is updated. Similar proposals routed to review queue rather than auto-staged.
High-confidence patterns graduate to automated execution. You set the threshold. Low-risk tasks run silently; sensitive ones always surface.
Connected at startup. New integrations surface themselves dynamically, the discovery engine stages plugins for over 1,000 integrations when relevant context appears in your inbox.
Run it locally. Own your data. Let the agent handle the overhead while you focus on the decisions that actually matter.