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#trace

Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents

Hugging Face Daily Papers · 3d ago Cached

TRACE is a skill-layer pipeline that mines user corrections from interactive coding agents to compile runtime checks, reducing repeated preference violations significantly better than memory alone, as demonstrated on ClawArena and MemoryArena tasks.

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#trace

@yoheinakajima: and here's what a coding agent on activegraph looks like basically you always get a trace and a graph automatically

X AI KOLs Following · 2026-06-06 Cached

Yohei Nakajima shares a demo of a coding agent on activegraph that automatically produces a trace and graph.

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#trace

@yoheinakajima: here's an activegraph based deep research agent that gives you full graph/trace of claims, sources, agent activity...

X AI KOLs Following · 2026-06-05 Cached

A deep research agent based on active graphs that provides a full graph trace of claims, sources, and agent activity.

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#trace

@zxlzr: Introducing MemTrace: Making LLM Memory Systems Finally Debuggable Memory is becoming a core component of AI agents. Bu…

X AI KOLs Following · 2026-05-28 Cached

MemTrace is a new tool that makes LLM memory systems debuggable by tracing memory operations across multiple turns, addressing the black-box nature of current memory-augmented agents.

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