Proactive Stream
Always-on proactive intelligence

Proactive agents that navigate world streams and act in your workspaces. 24/7.

Long-running AI agents that perceive changes across every stream that matters to you, reason over days and weeks, and take governed action in your workspaces — while you sleep.

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What makes proactive.stream different

Agents build their own perception

Describe what matters in plain language. The agent figures out how to watch for it, safe-tests against live data, and deploys its own monitoring — then keeps refining it autonomously.

CategoryPerception

Intelligence that evolves itself

Agents continuously review their own decisions, discover blind spots in their awareness, and expand what they watch for. The longer they run, the smarter they get.

CategoryEvolution

Every decision on the record

Every signal, every reasoning chain, every action is permanently recorded. When an agent acts at 3 AM, you can trace exactly what it saw, why it decided to act, and what happened.

CategoryTrust

Operating model

From reactive systems to agents that keep evolving.

Most AI still behaves like a smart answer box. proactive.stream is built more like an operating system for live work: it watches, remembers, coordinates, and acts in the background.

Reactive AI
proactive.stream
PROMPT-BOUNDALWAYS-ON LOOPPromptAnswerStopAsk.Wait.Linear, session-bound, and silent again after the response.PerceiveActEvolveRememberReasonWatch.Learn.Continuous perception, memory, action, and adaptation in one governed loop.

What it takes to trust a long-running agent

An agent that runs 24/7 for years needs more than a good prompt. It needs perception, memory, governance, and a permanent record.

Self-building perception

Describe what matters. Agents create their own monitoring, safe-test it against real data, and deploy when confident. No one writes rules by hand — the agent handles it.

Always-on, always learning

Agents run for weeks, months, years. They perceive changes the instant they happen, reason across long time horizons, and get sharper the longer they run.

Governed, not just guided

Approval gates and policies are enforced by the runtime, not suggested in a prompt. Require sign-off before risky actions. Every decision is auditable and reversible.

Teams, not solo agents

Spawn specialist agents on demand. They coordinate, share context, and divide work — with per-agent permissions controlling who can do what.

Total recall

Every signal, every reasoning chain, every action is permanently recorded. Replay any moment. Trace any outcome back to the signal that caused it.

Memory that compounds

Conversations, summaries, and structured knowledge — three layers of memory that grow richer over time. Agents learn your world without being told twice.

From zero to always-on in minutes

No workflows to build. No rules to write. Just describe what matters.

01

Connect the streams that matter

Slack, GitHub, webhooks, databases, news feeds, timers — any source of change. One OAuth click or a webhook URL. All streams become one unified world view.

02

Describe what to watch for

"Alert when deploys fail." "Respond to security issues." "Watch for customer sentiment shifts." Agents figure out how to monitor it — no configuration needed.

03

Agents run and evolve — forever

Always-on agents perceive, reason, and act across your workspaces. They discover blind spots, expand their awareness, and get smarter over weeks, months, and years.

Full observability for autonomous systems

Agents run autonomously, but you see everything. Every perception change, every reasoning chain, every governed decision — in one place.

When an agent acts at 3 AM, you can trace the full chain: what changed in the world, what the agent perceived, how it reasoned, and what it decided to do. Every link in the chain is permanently recorded.

Approve or block actions before they fire. Replay any moment in time. Pause any agent with one click. Full autonomy with full control.

Open Studio

Operator View

  • ▸Live world view — every connected stream, every monitoring rule, every action
  • ▸Agent teams — who is active, what they are working on, how they coordinate
  • ▸Safe-test workspace — agents validate new monitoring against real data before going live
  • ▸Approval gates — review and approve risky actions before they fire
  • ▸Full timeline — every signal, decision, and delivery in permanent record
  • ▸Memory explorer — what agents have learned, remembered, and summarized
  • ▸Reasoning traces — follow any agent decision from signal to action

Deploy always-on intelligence across your world.

Connect the streams that matter. Describe what to watch. Agents take it from there — proactively, governed, forever.

Open Studio

Free to start. No credit card required.