Every Tool You Need to
Automate at Scale
Deploy self-orchestrating AI swarms, instant zero-latency event streaming, and enterprise-grade compliance with zero brittle scripts. Built for mission-critical automation rails.
Autonomous Multi-Agent Swarms with Consensus Loops
Move beyond fragile chain-of-thought scripting. AutoFlow provisions dynamic swarms of specialized model agents that cross-validate outputs, autonomously correct edge cases, and negotiate complex API payloads with zero human intervention.
Dynamic Task Decomposition
Master orchestrator decomposes unstructured requests into discrete, parallelizable subroutines across agent roles.
Autonomous Fault Recovery
Instant self-healing mechanisms dynamically re-route tasks to fallback models during upstream API rate-limits or schema drift.
Semantic Memory & Vector Caching
Sub-millisecond shared key-value vector stores allow cross-agent state retention without context window bloat.
500+ Native Cloud & Enterprise Connectors
Connect your entire stack in minutes. From legacy relational databases to cutting-edge vector engines and modern SaaS APIs with enterprise auth guarantees.
Low-Code Visual Canvas + Raw Code Extensibility
Empower systems architects to design complex topological graphs visually while giving software engineers full TypeScript and Python SDK control. Changes sync bi-directionally with the underlying AST in real time.
import { SwarmFlow, Agent, Trigger } from '@autoflow/sdk';
// Declarative AST pipeline binding
export const enterprisePipeline = new SwarmFlow({
id: 'lead-orchestrator-v3',
concurrency: 2500,
retryPolicy: { maxAttempts: 3, backoffMs: 50 }
});
enterprisePipeline
.listen(Trigger.webhook('/lead/v2'))
.branch(async (payload) => {
return payload.estimatedValue > 50000;
})
.delegate(new Agent({
role: 'HighValueTriage',
model: 'claude-3-5-sonnet',
telemetry: true
}));
Deterministic Real-Time Observability & Time-Travel Replay
Eliminate non-deterministic black boxes. AutoFlow captures microsecond-level execution spans, OpenTelemetry traces, and immutable memory snapshots for every single agentic workflow step.
Re-execute historical workflow failures in isolation with exact cached state variables.
Native export to Datadog, Grafana, OpenTelemetry, and CloudWatch out-of-the-box.
Enterprise Security, Privacy & Zero-Retention
Built for banks, healthcare providers, and high-consequence infrastructure. Complete compliance validation guarantees your proprietary operational data never trains public LLMs.
SOC2 Type II & ISO 27001
Continuous third-party audits with real-time automated penetration monitoring and public attestations.
Zero Data Retention (ZDR)
Customer payloads execute purely in volatile memory. No customer data persists past execution life-cycles.
Granular RBAC & SSO
SAML 2.0, Okta, Azure AD integration with cryptographically signed role-based permissions.
VPC & On-Prem Runners
Deploy self-hosted runner agents directly inside AWS VPC, GCP, or bare-metal Kubernetes clusters.
Architecture Comparison Matrix
See why enterprise engineering teams are migrating away from legacy RPA tools and synchronous script scrapers.
| CAPABILITY SPECIFICATION | LEGACY RPA / SCRAPERS | AUTOFLOW AUTONOMOUS ENGINE |
|---|---|---|
| Agent Consensus Negotiation | None (Brittle Single Path) | check_circle Multi-model consensus loops |
| Self-Healing API Retries | Hard failure / Throw Exception | check_circle Autonomous fallback schema repair |
| Throughput & Latency | 3,000ms - 12,000ms latency | check_circle <280ms average swarm response |
| Code Extensibility | Proprietary GUI or Python snippets | check_circle Bi-directional TypeScript/Python AST sync |
| Observability & Replay | Static string text log dumps | check_circle Microsecond time-travel state rewind |
Ready to elevate your operational infrastructure?
Deploy your first autonomous multi-agent swarm in less than 5 minutes. No enterprise contract required to start.