Open Sourcing Agentspan: Durable AI Agents
Blog post from Orkes
Agentspan is an MIT-licensed open-source runtime and SDK designed to make AI agents resilient in production by storing execution state server-side through Conductor-based durable workflows, allowing agents to resume after crashes, restarts, or interrupted processes. Its Python interface centers on an Agent class, a @tool decorator, and a run() function, while a local server and dashboard can be started with minimal setup. The platform includes persistent human approval pauses, multiple multi-agent coordination strategies, guardrails with retry and escalation options, server-side OpenAPI and MCP tools, observability through dashboards, OpenTelemetry, and Prometheus, and deterministic CI testing without live LLM calls. Agentspan supports several model providers and can add persistence and monitoring to existing OpenAI Agents SDK, Google ADK, and LangGraph applications without requiring major rewrites. The project provides more than 210 runnable examples and includes open-source CLI, server, Python and TypeScript SDKs, and a React interface.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 6 | 7,713 | 1,419 | 275 | -3% |
| AI Agents | 4 | 7,056 | 1,560 | 282 | -11% |
| Multi-agent systems | 2 | 615 | 236 | 83 | -24% |
| Observability | 2 | 5,354 | 1,018 | 210 | +12% |
| MCP | 1 | 12,877 | 916 | 204 | +81% |
| OpenTelemetry | 1 | 1,245 | 153 | 50 | +28% |
| RAG | 1 | 1,341 | 303 | 104 | -37% |
| Real-time | 1 | 8,057 | 1,854 | 306 | -46% |
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