Build production ready Agenic apps. Batteries included.

Frontend Agenic Primitives

Complex agentic workflows, such as long running chains or parallel tool calls demand responsive, real-time UX. Ideally, users should see progress, partial results, and even branching logic updates directly in the interface.

This pattern is common — and only becoming more so. Supporting it typically requires custom infra: sockets, logs, streaming, state syncing.

With Mission control, you can set all this up with just frontend components.

Key Wins

• Run and manage workflows using React state and props.
• Easily subscribe a component to a processor without any additional setup.
• Build rich orchestration tools or agent interfaces entirely in React.

Shared Context = Smarter, Reactive Workflows

Coordinating agents is hard when each one operates in isolation. You either pass data manually between steps or tightly couple logic that should be flexible.

Mission Control introduces a shared, versioned memory layer built into every job. Agents and jobs can read and write to the same context, enabling them to react to each other in real time.

Key Wins

• Adaptive, multi-agent behavior out of the box.
• Recover from failures, trigger follow-ups, reroute dynamically.

Stream Everything, Not Just LLM Outputs

Most frameworks stream model output. But real workflows involve retries, logs, branching, and parallel jobs. Wiring this up takes a lot of glue and elbow grease.

That's why we made streaming a first class citizen. We stream every job: status, logs, errors, outputs. We handle streaming across parallel or chained calls, even persisting the stream on page refreshes and reconnects automatically.

Key Wins

• Show users live progress, for action that matters.
• Debug and observe real-time workflow state.
• Build intelligent interfaces without polling or custom socket logic.

An Agentic Foundation That Scales

Managing a single LLM call is straightforward, but managing retries, async streams, backoffs, rate limits, and tracing? That’s hard.

We wanted infrastructure that would hold up as workflows evolved. That's why every LLM call or agent in Mission Control runs as its own modular job.

Key Wins

• Live observability (logs, metrics, tracing) built in.
• Configurable concurrency & per‑processor rate limiting.
• Easily replay/debug of failed jobs with full payload context.