GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Krasis is designed to offer efficient large model inference on consumer-grade hardware through hybrid CPU-GPU execution and high-performance optimization.
Good fit when
- - When aiming for efficient operation of larger language models with limited VRAM, as Krasis optimizes memory utilization specifically to support this scenario.
- - If you seek an alternative runtime that can handle the latest GGUF-supported models without significant compromises in performance compared to other toolkits like llama-cpp.
Avoid when
- - Avoid using Krasis if your hardware setup does not include both CPU and GPU capabilities, as its hybrid execution relies on utilizing both components for optimal performance.
- - If you prioritize running lightweight models with minimal memory footprint on low-end devices, Krasis might not be the ideal choice given it is optimized for larger-scale model inference.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/brontoguana/krasisSimilar 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
Krasis is designed to enable efficient running of larger language models with constraints on consumer-grade VRAM. It supports high-performance inference, hybrid CPU-GPU execution, and is an alternative to existing solutions such as llama-cpp.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- c++, python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
It installs Krasis for the current user, includes its own Python runtime, andSource link
Tags
README
Install The current release is . Native Windows: Download the Krasis Windows installer. It installs Krasis for the current user, includes its own Python runtime, and adds to the Start Menu. Linux or WSL2: See all releases for older versions and individual wheel/source assets. You...
For agents
This page has a .md twin and JSON over the API.