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AstraRunner
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● Production open beta

Run AI Agent Teams
like production software.

AstraRunner is the orchestration and observability platform for autonomous agent teams. Deploy multi-agent workflows, trace every step, track cost and performance, and ship continuously.

24/7
Autonomous execution
<1ms
Span ingest latency
99.95%
Platform uptime SLA
∞
Concurrent agents

Teams running agents on AstraRunner

NOVA
helix.io
prism⏚
ORBITAL
Kismet
Pylon ◇
meridian
ARCATA

How it works

Five phases. One platform.

From the first agent definition to the millionth production run — AstraRunner is the connective tissue.

01

Define

Author your team — roles, tools, memory, guardrails.

02

Deploy

One command. Agents go live behind a stable API.

03

Execute

Long-running, parallel, human-in-the-loop ready.

04

Observe

Traces, costs, failures, agent reasoning — live.

05

Optimize

Score, replay, re-route, improve. Then ship again.

01 · Define

Declare a team. Ship it.

One file describes every agent, every tool, every memory binding, every approval gate. Version-controlled, reviewable, reproducible. The team is the artifact.

  • Pick from prebuilt agent roles or author your own.
  • Bind tools — filesystem, git, shell, HTTP, MCP servers.
  • Wire shared memory + tenant isolation in one line.
  • Mark which actions need a human approval before execution.
import { Team, Agent } from '@astrarunner/sdk'

const devCrew = new Team('dev-crew', {
  agents: [
    Agent.architect({ model: 'claude-opus-4-7' }),
    Agent.builder({   model: 'claude-sonnet-4-6', tools: ['fs', 'git', 'shell'] }),
    Agent.reviewer({  model: 'claude-haiku-4-5' }),
    Agent.qa({        model: 'claude-haiku-4-5' }),
  ],
  memory: 'astramemory://teams/dev',
  observability: 'otel://collector.runner.cluster',
})

await devCrew.run({ goal: 'Ship FEAT-204 to staging.', humanApprovalOn: ['deploy:prod'] })

03 · Execute · 04 · Observe

One control plane.
Every signal.

The Fleet view at app.astrarunner.com — every team, every agent, every run. Built for engineers on-call as much as for executives in QBR.

Observability

If you can't trace it, you can't trust it.

Every agent run produces a hierarchical trace. Replay any decision, audit any cost spike, debug any failure — without re-running the team.

Teams in production

Built for every kind of agent organization.

Engineering, sales, marketing, operations — the same control plane runs them all.

Software Development

Architect → Builder → Reviewer → QA → DevOps. Ship features overnight with full audit trail.

Sales Automation

Lead Research → Outreach → CRM → Follow-up. Multi-touch sequences that learn per account.

Marketing Automation

Content → SEO → Social → Analytics. Always-on campaigns measured against revenue.

Internal Operations

Triage, classification, document processing, finance reconciliation — at machine speed.

Platform

Everything you'd expect from a production runtime.

If you've ever shipped real software, you know what's missing from most agent stacks. We built the missing parts.

Agent orchestration

Define multi-agent teams declaratively. Run in parallel, in sequence, or with explicit human approval gates.

Agent memory

Persistent, tenant-scoped memory backed by pgvector + AstraMemory. Recall, consolidate, share.

Traces & spans

Every tool call, every LLM hop, every retry — captured as OpenTelemetry-compatible spans.

Metrics & cost

Latency, throughput, success rate, token spend — per agent, per team, per tenant.

Human-in-the-loop

Pause for approval on risky actions. Reviewer chops, rollbacks, escalation policies — first-class.

Continuous execution

Cron + event triggers. Long-running marathons. Autonomous loops that survive restarts.

API-first

Everything is a REST/MCP endpoint. SDKs for TypeScript, Python, .NET. Webhook fan-out.

Reasoning visibility

See what the agent thought, what tool it picked, why it failed — replayable from any span.

Architecture

Composable from the wire up.

Stable, boring building blocks under a delightfully concurrent orchestrator.

Agents
Roles, models, prompts
Runner
Orchestrator + queue
Memory
pgvector + AstraMemory
Tools
MCP, HTTP, filesystem
Observability
OTel traces + metrics
Analytics
Spend, success, throughput

Agents → Runner → Memory → Tools → Observability → Analytics

Voices

What pilot customers say.

A handful of teams that bet on us early and let us quote them.

“Our dev crew ships overnight now. The trace view alone saved us two engineers' worth of on-call. Worth it for that, never mind the orchestration.”

Priya Sundaram

VP Engineering, Helix Health

“We replaced four bespoke agent harnesses with one AstraRunner team. The cost dashboard caught a runaway loop within ten minutes — we'd have lost a weekend's spend.”

Marcus Lin

CTO, Orbital Trade

“Human-in-the-loop is the feature I didn't know I needed until I had it. Our sales crew can act autonomously on 90% of accounts; the other 10% pause for approval.”

Jordan Reeves

Head of GTM Ops, Nova Robotics

Your next deploy is an agent team.

Join the production open beta for orchestration, traces, approvals, and cost controls before public self-serve pricing opens.