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:
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Event-sourced architecture — Every state change flows through a durable write-ahead log, enabling automatic recovery and complete auditability
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Deterministic replay — Failed workflows resume exactly where they left off, preserving all state and progress
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Multi-language SDKs — Use Python for AI logic, Rust for performance-critical paths, TypeScript for web integrations — all in the same workflow
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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