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smithers

by smithersai

Durable, restartable runs for coding agents with pause, rewind, and human approvals

JavaScript
Updated Aug 16, 2026
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Summary

Manages durable runs for coding agents so workflows survive crashes, interruptions, and human review. Persists execution state, supports pausing for human approval, and enables rewinding or retrying mistaken steps across models like Claude Code, Codex, and Gemini. Ships as a JavaScript/TypeScript library with background agent support and developer-friendly hooks for web UIs. See the LLM-as-Judge Pattern for related architectural guidance.

Key Benefits

As agents take on longer, stateful coding tasks, ephemeral runs lose context and make debugging or auditing hard. Durable execution preserves agent state, enables human-in-the-loop checks, and creates a reliable trail—prerequisites for measuring agent track record and trust. This approach aligns with the Event-Driven Agent Pattern and reinforces ideas around Accountability Diffusion in production workflows.

Ideal For

Teams building production coding agents who need long-lived, recoverable workflows with human-in-the-loop controls and auditability. It complements governance workflows by integrating with the Model Context Protocol (MCP) to standardize context and evaluation across agents.

Use Cases

  • Recovering long-running code-generation tasks after crashes or restarts
  • Pausing agent workflows for human approval or code review before deployment
  • Rewinding or retrying agent steps to fix logic errors or hallucinations
  • Running background agents that need persisted state and observability
Works With
openaianthropicgooglereacttypescript
Topics
agent-orchestrationai-agentsbackground-agentsclaude-codecodexdeveloper-toolsdurable-executionhuman-in-the-loopllmmulti-agent+3 more
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Keywords
durable-executionagent reliabilitymulti-agent orchestrationagent track record