Normalized X post

LangChain Deep Agents Shrink the Harness Instead of Adding More Prompt

Deep Agents v0.7.0b2 cuts default-agent input tokens by 65% and tool-description tokens by 43%, turning harness efficiency into a first-class agent metric.

Signal contract

Deep Agents v0.7.0b2 cuts default-agent input tokens by 65% and tool-description tokens by 43%, turning harness efficiency into a first-class agent metric. This X-discovered record adds public evidence to the harness architecture outlives model choice, skills become portable capability layer lens and keeps the New Runtime trend graph connected to primary sources. Novelty: notable. Verification: source-inspected.

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2 public sources
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1docs.langchain.comdocsprimary receiptsource_urls
2x.comsourcesupporting receiptsource_urls

Observation

Deep Agents v0.7.0b2 cuts default-agent input tokens by 65% and tool-description tokens by 43%, turning harness efficiency into a first-class agent metric.

Why it matters

This X-discovered record adds public evidence to the harness architecture outlives model choice, skills become portable capability layer lens and keeps the New Runtime trend graph connected to primary sources.

Entities

LangChain

Provenance

This public record is an English normalization of an approved X watchlist post. Linked source_urls carry the publishable evidence boundary.

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Discovery graph / next reads

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  1. 01patternHarness architecture outlives model choicePattern connected to this observed signal.
  2. 02patternSkills become a portable capability layerPattern connected to this observed signal.
  3. 03patternVerification bandwidth is the scarce engineering resourcePattern connected to this observed signal.
  4. 04topicAgents - New RuntimeExplore the agents topic hub.
  5. 05topicAgent evals - New RuntimeExplore the evals topic hub.

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