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Features

12 enterprise-grade capabilities

Everything you need to build, deploy, and operate production AI workflows — from a single JSON file to fully compliance-ready multi-tenant orchestration.

Orchestration & Execution

branching

DAG Orchestration

Declarative JSON-based directed acyclic graphs with parallel lanes, hard barriers, and supervisor checkpoints — zero boilerplate.

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Intelligent Model Routing

Automatically selects the optimal model tier (Haiku → Sonnet → Opus) based on task complexity and remaining budget.

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security

Resilience Patterns

Exponential-backoff retry, per-provider circuit breakers, and graceful fallbacks keep workflows running through transient failures.

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performance

Real-Time Streaming

Token-by-token LLM output streamed live to stdout — every provider, including the built-in Mock provider.

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Enterprise & Security

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RBAC & OIDC Auth

Role-based access control with RS256/ES256 JWT validation. Every run is principal-tagged and GDPR-ready.

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Immutable Audit Logging

Hash-chained tamper-proof audit logs for every agent action — compliance-ready out of the box.

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Multi-Tenant Isolation

Hard filesystem and runtime isolation per tenant — each run lives in its own scoped directory tree.

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encryption

PII Scrubbing

Automatic regex-based detection and redaction of emails, phone numbers, SSNs, and API keys before they reach LLM providers.

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Developer Experience

tools

Powerful CLI

Full-featured command-line tool — init, sync, check, run DAGs, plan entire projects, visualise graphs.

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MCP Integration

Native Model Context Protocol bridge — connect ai-agencee directly to Claude Desktop or VS Code Copilot.

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TypeScript Builder API

Fluent, fully type-safe DSL for constructing DAGs in code — no JSON required.

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Observability

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Typed Event Bus

Subscribe to real-time DAG lifecycle events — token streams, cost updates, lane status — with full TypeScript typing.

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