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    1. Home
    2. Tools
    3. OpenTraces
    OpenTraces icon

    OpenTraces

    Agent Harness

    A CLI tool to parse, sanitize, and commit AI agent session traces to HuggingFace Hub for training, evaluation, and open data sharing.

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    At a Glance

    Pricing
    Open Source

    Fully open-source CLI tool, free to install and use with your own HuggingFace account.

    Engagement

    Available On

    CLI
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Agent HarnessHuman-in-the-Loop TrainingLLM Evaluations

    Alternatives

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    Developer
    Gabriele FareiGabriele Farei builds OpenTraces, a CLI tool that captures a…

    Listed Apr 2026

    About OpenTraces

    OpenTraces is an open-source CLI tool that treats AI agent session traces as first-class data artifacts — capturing, sanitizing, and publishing them to HuggingFace Hub for use in fine-tuning, reinforcement learning, and evaluation pipelines. It follows a familiar git-like workflow (init, status, review, push) so developers can manage agent traces the same way they manage code. Every trace is automatically scanned for secrets, API keys, and PII before leaving the machine, ensuring privacy by default. Public traces are queryable via the HuggingFace Datasets API with no proprietary lock-in.

    • Git-like workflow — Use init, status, review, and push commands to manage agent session traces just like source code.
    • Private-first redaction — 19 regex patterns plus Shannon entropy analysis automatically scrub API keys, emails, database credentials, and filesystem paths before any data leaves your machine.
    • Auto or review push modes — Choose between fully automatic capture-and-push or a human-in-the-loop inbox (TUI and web UI) to approve, redact, or reject sessions before committing.
    • HuggingFace native — Publishes JSONL shards directly to HF Hub, loadable via datasets.load_dataset() with no proprietary format or subscription required.
    • Traces as training data — Structured TraceRecord schema captures alternating role sequences, tool call/observation pairs, reasoning paths, and outcome signals — validated against 10 quality checks before upload.
    • RL/RLHF support — Committed patches serve as reward proxies; per-step token costs enable cost-penalized reward; sub-agent hierarchy supports credit assignment.
    • Observability and eval — Cache hit rates, per-step token breakdowns, duration timelines, and model distribution metrics turn production traces into reproducible eval datasets.
    • Automatic deduplication — Content-hash dedup on push prevents duplicates when resetting state, switching machines, or re-pushing sessions.
    • Agent-native CLI — Every command outputs structured JSON so agents can drive other agents programmatically.
    • Agent harness integrations — Works with Claude Code, Codex, Cursor, OpenCode, Hermes, and other dev-time and run-time agents via a session hook.
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    Pricing

    OPEN SOURCE

    Open Source

    Fully open-source CLI tool, free to install and use with your own HuggingFace account.

    • Git-like trace workflow
    • Automatic PII and secret redaction
    • HuggingFace Hub publishing
    • TUI and web inbox
    • Auto or review push modes

    Capabilities

    Key Features

    • Git-like trace workflow (init, status, review, push)
    • Automatic PII and secret redaction (19 regex patterns + Shannon entropy)
    • HuggingFace Hub native JSONL publishing
    • TUI and web inbox for human-in-the-loop review
    • Auto or review push modes per project
    • Content-hash deduplication on push
    • Structured TraceRecord schema with 10 quality checks
    • RL/RLHF reward proxy support via committed patches
    • Per-step token cost metrics
    • Agent-queryable public datasets via HF Datasets API
    • Structured JSON CLI output for agent-driven workflows
    • Session hook for automatic trace capture

    Integrations

    HuggingFace Hub
    Claude Code
    Codex
    Cursor
    OpenCode
    Hermes
    OpenClaw
    DeepAgents
    API Available
    View Docs

    Reviews & Ratings

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    Developer

    Gabriele Farei

    Gabriele Farei builds OpenTraces, a CLI tool that captures and publishes AI agent session traces as open datasets on HuggingFace Hub. The project treats agent traces as the real source of truth in LLM-driven systems — structured for fine-tuning, RL, and evaluation. OpenTraces prioritizes privacy-first design with automatic redaction before any data leaves the user's machine.

    Read more about Gabriele Farei
    WebsiteGitHubX / Twitter
    1 tool in directory

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