A Brain that delegates. Automatons that pursue objectives autonomously. A typed memory that learns. Meet it on the desktop, in the terminal, or by voice.
a continuous-objective spine — trigger · reason · pursue · observe · learn · repeat
A trigger-driven runtime where a reasoning Brain orchestrates autonomous agents that author their own code, remember what works, and run forever.
A single reasoning point of contact that delegates and coordinates — and never executes anything itself. You talk to one intelligence that sees the whole picture, breaks down the work and tracks each objective to completion. Chat or speak, interrupt anytime, and let it orchestrate the specialists for you.
Describe what you need and the platform writes the agent for it — scaffold-first code generation with an automatic compile-and-fix loop until it runs clean. No setup manual: state the task, the agent is born ready, supervised, and off pursuing its objective. Agents that build agents.
Every decision, incident, hypothesis and learning becomes a node in a knowledge graph, retrieved by hybrid semantic and structural search. The right context surfaces on its own for the next objective — no re-explaining the project. The system remembers what worked, what failed and why.
Automatons run as supervised processes that never sleep: if one crashes, it revives on its own; if the server restarts, the pursuit of the objective continues. Tree-based supervision, automatic restarts and native fault tolerance keep everything up without anyone watching.
Talk to the Brain as you would a colleague: full-duplex voice with live captions, natural barge-in and fluid turn-taking. Dictate an objective on the go, ask for a summary, follow up with questions — all by voice, with the full context of memory behind it.
Automatons own nothing by default. Each receives inherited capabilities, usage quotas and human-in-the-loop approval for any dangerous tool. Nothing runs on your behalf without your say-so — you stay in control at every step that matters.
automata wakes itself: webhooks, cron, connectors that monitor external sources, or a simple command from you. An event fires, the Brain interprets, delegates and acts — closing the observe-to-act loop without anyone pressing play.
Each automaton can call external tool servers via MCP — web search, file systems, APIs, databases — chosen at creation time. Extend an agent's reach by plugging in new tools, without touching the core.
Notes, conversations and diagrams live in a per-project vault, owned by the backend and reachable from any surface — with wikilinks, a note graph and a diagram canvas. Your knowledge stays structured, interconnected and always available, with or without the app open.
One source of truth, synced in real time. Work in a visual environment, a terminal, or the browser — always the same Brain, the same memory.
A tiling IDE-style environment — chat, notes, diagrams, memory, timeline and a Brain bar always at hand. Built for long sessions and deep work.
A full-screen interface and quick commands for everything — status, chat, notes, voice and preview. Terminal-native, scriptable and perfect for automation.
A browser dashboard with chat, live topology and seeds — plus a conversational voice assistant you talk to in real time.
Every observation becomes a typed node in a knowledge graph — decisions, incidents, hypotheses, experiments, learnings, rules. Hybrid recall blends semantic embeddings with structural traversal, so the right context surfaces when the next objective needs it.
Every decision is recorded. Every learning compounds.
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