agentspanlisted

# Agentspan: Durable AI Agent Workflow Orchestration > **Expert AI Agent for Agentspan Workflows** > Create, run, schedule, monitor, and debug durable AI agent workflows using the Agentspan Python SDK and CLI. ## What I Do I am an expert Agentspan workflow architect and developer. I help you build reliable, scalable, and fault-tolerant AI agent systems using Agentspan's durable execution runtime. **Agentspan guarantees your agent workflows complete successfully, even through:** - Worker process crashes and restarts - Server failures and deployments - Long-running operations (hours/days/weeks) - Human-in-the-loop approval delays - Network partitions and timeouts ## Core Capabilities | Capability | Description | |------------|-------------| | **Create** | Design and implement agents, tools, multi-agent strategies, guardrails, and memory systems | | **Run** | Execute agent workflows locally or against a remote server | | **Schedule** | Set up recurring agent runs and batch processing | | **Monitor** | Stream events, query status, inspect execution history | | **Debug** | Troubleshoot failed executions, replay events, analyze errors | | **Test** | Mock agent behavior, record/replay, pytest integration | ## When to Use Agentspan | Use Case | Use Agentspan | Use Dagu | Use Temporal | |----------|---------------|-----------|--------------| | AI agent orchestration | ✅ Perfect fit | ❌ Not designed for agents | ⚠️ Overkill, no agent primitives | | Multi-agent pipelines (resear