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context governance
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context-governance-f6739c71·1 events·first seen 22d agoAliases: context governance
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Agent Governance ToolkitOpenAI Frontier Governance Frameworkcontext compactionRegulating the Machine Contributor: Governance and Policy Alignment in Open Sourceshared controlContext Hubrepresentation-level steeringtopic modellingcontext-modeCalibrated Collective Oversight (CCO)AgentScopecontent policy
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From Model Scaling to System Scaling: Scaling the Harness in Agentic AI
This paper argues that the next major bottleneck in agentic AI is system-level design—what the authors call 'scaling the harness'—rather than continued model scaling alone. The agent harness encompasses memory substrates, context constructors, skill-routing layers, orchestration loops, and verification/governance components that together translate model capability into long-horizon behavior. The authors identify three core bottlenecks (context governance, trustworthy memory, dynamic skill routing) and propose harness-level benchmarks measuring trajectory quality, memory hygiene, and verification cost. They introduce CheetahClaws, a Python-native reference harness, and compare it against Claude Code and OpenClaw.