Skip to main content

GigAI

GigAI is a local, user-controlled agent runtime: it keeps configuration, credentials, and work state on your machine, and makes every model call, review, and result inspectable. Scout, its first Gig, finds jobs from public boards, ranks and assesses them against your resume with the model you already use (Codex, Claude Code, Ollama or OpenRouter), and drafts a tailored resume you can download as a PDF.

Quickstart (Scout)

  1. Requirements. macOS or Linux with Python 3.11+, uv, and one model CLI installed and logged in: Codex (codex login) or Claude Code (claude, then /login).

  2. Install.

    uv tool install gigai
    
  3. Run.

    gigai scout run      # starts Scout and opens the browser
    

    The setup wizard asks for your model, your resume (.md or .txt) and your roles; then use Update sources, Run find jobs and Tailor resume. Update later with uv tool upgrade gigai.

Privacy

Scout removes your name and contact lines (email, phone, address, links) before a model sees your resume, but it can't catch personal details elsewhere in the text, so keep those out. The contact and Resume display fields never leave your machine. With Ollama the resume stays on this machine. See Privacy and security for exactly what is sent, and to whom.

GigAI is an alpha; expect rough edges. Apache-2.0, see LICENSE.

Metadata

Release files for gigai 0.1.10.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gigai 0.1.10.1
File Size Uploaded
gigai-0.1.10.1.tar.gz 2.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gigai 0.1.10.1
File Interpreter ABI Platform
gigai-0.1.10.1-py3-none-any.whl Python 3 none any Details

Total release size: 4.2 MB

Release files / gigai-0.1.10.1.tar.gz

Download URL gigai-0.1.10.1.tar.gz
Size 2.0 MB
Tags Source
SHA-256 checksum
How to use checksums
ae975e3053c1f7b2a415409b61d3dcf15788fed70ac84f237bf5a0a9524c3290
BLAKE2b-256 checksum
How to use checksums
c78b67ba835dd9967c720c5de7918b92501859ef35d48c6f129b4aaa56082aad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / gigai-0.1.10.1-py3-none-any.whl

Download URL gigai-0.1.10.1-py3-none-any.whl
Size 2.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
524c35904cd268bc44d7d431cae56e1004796bee9c0f60a543a9805aa643f709
BLAKE2b-256 checksum
How to use checksums
565251f508d6ccba75c7b2b36d5964100ed8fe12099fabdf91e33c83a113f814
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page