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 0.1.10.2

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 0.1.10.2
File Size Uploaded
gigai-0.1.10.2.tar.gz 2.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gigai 0.1.10.2
File Interpreter ABI Platform
gigai-0.1.10.2-py3-none-any.whl Python 3 none any Details

Total release size: 4.2 MB

Release files / gigai-0.1.10.2.tar.gz

Download URL gigai-0.1.10.2.tar.gz
Size 2.0 MB
Tags Source
SHA-256 checksum
How to use checksums
7bd5843698466410e11a30568d56ccb1d5c656f01a11b174d967ebdad7ea8419
BLAKE2b-256 checksum
How to use checksums
0d0902ddf5eb665f6a3681b68ca9342af8aad2202bc51f5d3c0931331e3466c1
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-0.1.10.2-py3-none-any.whl

Download URL gigai-0.1.10.2-py3-none-any.whl
Size 2.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
86ebd3fff1b45807d343efd18195988c0e3b9755af4e764b30b705e36c9872d0
BLAKE2b-256 checksum
How to use checksums
7b70804b399e341ebf7ade721aeb994e4e03ff4beaeda2e10964ff8d6ac2e84c
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