Unverified50% confidenceFactExact time
HMA (Humanize MLE Agents) has two agents work alternately on the same shared workspace, executing at most k experiments per session, resetting context between sessions, and relying on no additional task-specific harnesses or injected prior knowledge.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedComplex scaffolding commonly used in the MLE Agent domain includes multi-agent orchestrators, specialized retrieval sub-agents, and sophisticated state management and memory mechanisms.68% similarUnverifiedHumanizer is not a standalone application but is designed as an Agent skill that can be integrated into AI Agent workflows to automatically apply humanization rewrites66% similarUnverifiedThe solution implements human-in-the-loop collaboration through a unified ask_human tool, which the agent invokes when it encounters a situation requiring human judgment to submit a pending decision item.64% similarUnverifiedThe core capability of MDA lies in multi-step task orchestration, where the agent can dynamically adjust subsequent actions based on intermediate results rather than producing a fixed answer in a single pass.64% similarVerified"Human-in-the-Loop (HITL)" is a system design paradigm that retains human review or intervention nodes within the decision chain of an AI or automated system.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001125API
curl https://kongchang.com/api/v1/knowledge/claims/1001125MCP
get_claim(id=1001125)