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Agentspan is an open-source durable runtime for AI agents, MIT licensed, just launched on Product Hunt. The pitch: zero-configuration durable execution for agent workflows.

## What durability means here

Step 7 of a 10-step agent workflow crashes? Execution resumes at step 8 — automatically. No checkpointer to set up, no database to configure, no manual save/restore code. Durability is the default rather than an opt-in feature. For long-running agent loops that span hours or days, this removes one of the biggest production blockers.

## The Conductor foundation

Agentspan compiles your agent definition into a durable workflow powered by Conductor — the same battle-tested open-source orchestration that runs at Netflix, Tesla, and LinkedIn, with billions of executions already in production. The team didn’t reinvent workflow durability; they wrapped a proven engine with an agent-specific SDK.

## Why it matters

Most agent frameworks (LangChain, CrewAI, LangGraph) have hand-rolled checkpoint and resume logic, which means subtle bugs and missing edge cases at production scale. Agentspan inheriting Conductor’s track record is a different ergonomic bet: use the same workflow engine that runs your video-streaming infrastructure. For teams shipping production agents on hard SLAs, this is the most credible durability story to date.