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title: "Long Running Agents - New Runtime"
description: "A New Runtime topic hub collecting signals, patterns, field notes, and public sources about long running agents."
retrieval_nugget: "A New Runtime topic hub collecting signals, patterns, field notes, and public sources about long running agents. Long Running Agents is tracked here as an evidence-linked topic, not as a static glossary entry. The page connects raw observations to pattern hypotheses, longer analysis, and public sources. Use it as the canonical landing page before drilling into individual records."
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record_date: "2026-07-30"
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---

# Long Running Agents - New Runtime

A New Runtime topic hub collecting signals, patterns, field notes, and public sources about long running agents.

## Retrieval answer

A New Runtime topic hub collecting signals, patterns, field notes, and public sources about long running agents. Long Running Agents is tracked here as an evidence-linked topic, not as a static glossary entry. The page connects raw observations to pattern hypotheses, longer analysis, and public sources. Use it as the canonical landing page before drilling into individual records.

## Patterns


## Field Notes

- [Codex-Maxxing Separates Code From Work State](https://newruntime.com/posts/codex-maxxing-memory-vault-maintainer-loop/): OpenAI's Codex-maxxing guide frames durable threads, reviewable memory files, connectors, skills, heartbeat automation, and human approval as the operating loop for long-running Codex work.
- [Long-Running Loops Need Goals, Not Keep-Going Prompts](https://newruntime.com/posts/claude-code-long-running-loops/): Long-running agent work is useful only with a testable goal, checkpoints, a terminal condition, and recovery policy; otherwise the loop becomes expensive blind continuation.

## Recent Raw Signals

- 2026-06-22: [Agent Loops Can Generate Their Own Follow-Up Work](https://newruntime.com/signals/agent-loops-can-generate-their-own-follow-up-work/)
- 2026-05-14: [Claude Code Goals Turn Completion into a Verifiable Contract](https://newruntime.com/signals/claude-code-goals-turn-completion-into-a-verifiable-contract/)
- 2026-05-07: [OpenAI Shows Memory Compaction for Long-Running Agents](https://newruntime.com/signals/openai-shows-memory-compaction-for-long-running-agents/)

## Public Sources

- https://cdn.openai.com/pdf/8a9f00cf-d379-4e20-b06f-dd7ba5196a11/OAI_WhitePaper_Codex-maxxing26.pdf
- https://code.claude.com/docs/en/goal
- https://code.claude.com/docs/en/scheduled-tasks
- https://code.claude.com/docs/en/sub-agents
- https://creatoreconomy.so/p/how-i-plan-build-and-run-loops-with-claude-code-thariq-shihipar
- https://developers.openai.com/cookbook/examples/agents_sdk/building_reliable_agents_memory_compaction
- https://github.com/openai/openai-cookbook/blob/main/examples/agents_sdk/building_reliable_agents_memory_compaction.ipynb
- https://openai.com/index/codex-maxxing-long-running-work/
- https://youtube.com/watch?v=JoXbk2fm7jM