Unverified50% confidenceOpinionExact time
The harness is moving toward a higher level of abstraction: the previous generation combined a bunch of LLM calls, while the new generation treats the Agent as the core building block.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
Former Cursor Engineer: Is Agent Harness Dead? The Data Flywheel and Three Things the Model Can't Absorb
bilibili全球AI科技不费眼10/22/2026
Related Entities
Related Claims
Unverified随着LangChain、LlamaIndex等Agent框架的兴起，Tool的概念逐步走向成熟70% similarVerifiedThe core idea of the Harness architecture (Agent Harness) is to provide scaffolding for LLMs, enabling them to perform complex multi-step, cross-tool tasks, covering mechanisms such as context management, tool management, execution state management, context compression, and prompt engineering70% similarUnverifiedThe core idea of Self-Evolving Agent Harness is not to have human engineers manually adjust the Harness's prompts, toolset, and scheduling strategy, but to let the Harness automatically optimize these components based on data from its own operating history.67% similarVerifiedHarness is not a large model, but a workbench (orchestration layer/AI Agent framework) wrapped around the model, responsible for the interface, session recording/replay, and tool invocation.67% similarUnverifiedLarge models are continuously internalizing capabilities that previously required external tools; for example, computational functions that once required dedicated plugins have now become built-in model capabilities.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1087777API
curl https://kongchang.com/api/v1/knowledge/claims/1087777MCP
get_claim(id=1087777)