AGNT5

The orchestration platform for AI workflows and agents


Build, deploy, and operate AI systems with confidence — AGNT5 provides durable execution, multi-agent orchestration, and production observability in a single platform. Eliminate the complexity of stitching together multiple tools for workflow orchestration, evaluation, and monitoring. AGNT5 delivers an end-to-end platform for:

  • Writing durable workflows in Python, TypeScript, or Go
  • Orchestrating multi-agent systems with built-in state management and coordination primitives
  • Recovering automatically from failures with exactly-once execution guarantees and event sourcing
  • Integrating any LLM provider — OpenAI, Anthropic, Google, or self-hosted — without code changes
  • Deploying to production with Kubernetes-native orchestration and auto-scaling
  • Monitoring workflows in real-time with OpenTelemetry integration and distributed tracing
  • Testing locally with a complete development environment that mirrors production
  • Handling webhooks and events with built-in retry logic and error recovery
  • Managing costs through intelligent LLM provider selection and usage optimization

AGNT5 combines workflow orchestration, agent coordination, and production monitoring into a unified platform designed for teams building AI applications that need to work reliably at scale.

Why AGNT5?

Building production AI systems requires solving fundamental reliability problems. Workflows fail mid-execution. Agents lose state. LLM calls timeout. Complex multi-step processes become impossible to debug. AGNT5 provides the primitives to build resilient AI applications:

  • Event-sourced architecture — Every state change flows through a durable write-ahead log, enabling automatic recovery and complete auditability

  • Deterministic replay — Failed workflows resume exactly where they left off, preserving all state and progress

  • Multi-language SDKs — Use Python for AI logic, Rust for performance-critical paths, TypeScript for web integrations — all in the same workflow

  • Three-plane architecture — Separate control plane for resource management, orchestration plane for workflow execution, and data plane for compute — enabling independent scaling and fault isolation