AI/TLDR

huangruiteng · 2026-08-04 · notable

LoopX 0.4.1 — durable state kernel for long-running coding agents

LoopX is an MIT-licensed Python control plane that gives Codex, Claude Code, and other agents durable goals, executable todos, and evidence logs across long sessions. v0.4.1 adds persistent todo routes and goal-continuation contracts.

LoopX v0.4.1 release page on GitHub — a durable state kernel for long-running coding agents

LoopX is a small durable-state kernel that stops long agent runs from forgetting their own plan.

What is it?

LoopX is an MIT-licensed Python control plane that sits alongside coding agents like Codex and Claude Code. It stores goals, executable todos, evidence logs, and handoff contracts in a durable store, so an agent's plan survives crashes, quota resets, or a new turn starting cold.

How does it work?

The kernel treats each agent turn as a bounded step against a Goal host — a persistent objective with selected-todo context. v0.4.1 adds Todo routes that survive across turns, so an agent resumes work without re-inferring context, plus a quota-aware auto-wake that reactivates a goal at real state transitions instead of polling.

Why does it matter?

Long agent runs fail today because the model's scratchpad is the only memory — restart the loop and the plan disappears. LoopX moves that plan out of chat memory into a small kernel, so a paused or crashed run can resume against the same objective without re-reasoning from scratch.

Who is it for?

Engineers running Codex or Claude Code sessions for hours or days

Try it

git clone https://github.com/huangruiteng/loopx

Sources

Tags

  • ai-agents
  • coding-agents
  • python
  • mit-license
  • durable-state
  • agent-tooling
  • control-plane
  • long-running
  • github-trending
  • codex
  • claude-code

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