Hugging Face Launches ‘Her’ to Enhance Claude Code Sessions for Developers

Hugging Face outlined updates on Her · हेर — a detective for your Claude Code sessions: her · हेर — a detective for your Claude Code sessions

Rarely anyone reads 4,000 lines of JSON to figure out why the agent reached for production, where the context budget actually went, or which subagent quietly burned half the run. The premise is simple: drop a session file onto the page and let her investigate. She reconstructs what happened in plain English, flags the risky moves — deploys, config and production changes, secrets — and traces each one back to the exact turn where it happened. She shows where the tokens went, which tools, subagents, skills, and MCP servers were used, and — only when a named, fixable pattern fires — what you could have done better, grounded in Anthropic’s and the community’s best practices. She suggests, never asserts, and stays silent when there’s nothing worth saying. There’s also a built-in copilot: Ask Her. Ask “why was this tool used?” and she answers from the trace, cites the turns, and opens the exact tool call. Drop one file for a session view; drop several to build a project view and hunt a question across many sessions at once. No third-party AI API is ever called. The model — Nemotron-Mini-4B-Instruct — runs on the Space’s own GPU via ZeroGPU. Your session is uploaded only to a private, auto-deleted namespace that belongs to your run, and nothing about it leaves the box. The split that makes this trustworthy: the evaluation engine is purely deterministic. The model is used only to write the English and propose softer suggestions. It never asserts a finding. The numbers don’t move when the model changes.