Skip to main content

Capture AI coding sessions and sync them to Hugging Face Datasets — an open SpecStory.

Project description

traceshub

Capture AI coding sessions (Claude Code, Codex CLI, Cursor, Gemini CLI, Aider) into a local SQLite store and sync them to a Hugging Face Dataset.

uv tool install traceshub        # or: pipx install traceshub

traceshub init                       # create ~/.traceshub
traceshub login                      # sign in to Hugging Face
traceshub run claude                 # work normally; the session is captured
traceshub sync                       # push sessions to <user>/traceshub on HF
traceshub search "cuda memory leak"  # semantic search over your history
traceshub replay <session-id>        # replay a session in the terminal

Install real embeddings with uv tool install "traceshub[embeddings]". See ../docs/SCHEMA.md for the dataset layout.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

traceshub-0.3.3.tar.gz (136.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

traceshub-0.3.3-py3-none-any.whl (50.5 kB view details)

Uploaded Python 3

File details

Details for the file traceshub-0.3.3.tar.gz.

File metadata

  • Download URL: traceshub-0.3.3.tar.gz
  • Upload date:
  • Size: 136.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.23

File hashes

Hashes for traceshub-0.3.3.tar.gz
Algorithm Hash digest
SHA256 2cb9f50beabbcbf3e6ae1d447f7e27eb7899bf57b1ec840cd17aacb36fc8d510
MD5 07e190c330b3838649ad57220b81db5f
BLAKE2b-256 8dd8bf3226cebbfac021a190bc4d7f7b4277b3fe09f51282b175111116bb57be

See more details on using hashes here.

File details

Details for the file traceshub-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: traceshub-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 50.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.23

File hashes

Hashes for traceshub-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 dc3fcefe3ad2b31c2cfe1bdeb18f9b4c34ccbd8ead4be0d18b14a639b1ce83b5
MD5 f9623c1ccc24fa3e085d1e4e51a03dfc
BLAKE2b-256 a2eaf689b746614007cb18dbad8b108b20bcc24fb1af65665ca83627d52dfd30

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page