GraphCanon updated 1w · GitHub synced 1w
Decision brief
QA-Pilot is an interactive chat tool for navigating and understanding GitHub repositories using LLMs, built with Svelte.
Good fit when
- Use QA-Pilot if you need to leverage both local and online large language models (LLMs) for quick insights into GitHub code repositories.
- Consider QA-Pilot when your workflow requires GPU support, as it can accommodate NVIDIA GPUs through Docker configurations.
Avoid when
- Avoid using QA-Pilot if you do not have access to Docker or local GPU resources necessary for running the tool effectively.
- QA-Pilot might not be suitable if your repository is large and complex, leading to potential performance issues with real-time LLM responses.
- Pricing:
- freemium - Free under the Apache-2.0 license, but users might incur costs related to GPU usage for performance.
- Requirements:
- Requires Docker; Requires Docker for setup.; Benefits from access to NVIDIA GPUs via Docker configurations for enhanced performance.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (348d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- 181 low (181 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/reid41/QA-PilotSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
QA-Pilot uses LLMs to provide interactive understanding and navigation of GitHub repositories through Svelte frontend.
Capability facts
- Languages
- svelte
Source: github.language · Aug 7, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvidia-cuda-11
docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvidia-cuda-12
install deps
cd svelte-app npm install
npm run dev
8. Run the backend QA-Pilot in another terminal:
```shell
python qa_pilot_run.py
For agents
This page has a .md twin and JSON over the API.