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tiger

tigerlab-ai/tiger

Open Source LLM toolkit for trustworthy applications

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

39views this month

404 stars28 forksLast push Dec 2, 2023 Jupyter Notebook Apache-2.0

Decision brief

Tiger is an open-source toolkit improving LLM application trustworthiness with its AI safety suite TigerArmor, embedding-RAG combo TigerRAG, and fine-tuning tool TigerTune.

Good fit when

Projects demanding enhanced model safety and reliability in production.
Scenarios where custom data augmentation and embedding are essential for RAG systems.

Avoid when

For teams needing a comprehensive low-level LLM framework like Hugging Face Transformers due to lack of foundational models support by Tiger.
If priority lies with real-time model deployment automation as opposed to pre-deployment reliability checks and training enhancements.

Observed Jul 14, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report

Maintenance: Dormant (1022d since push); As of Sep 19, 2026
Provenance: Not a fork · Personal account; As of Sep 19, 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/tigerlab-ai/tiger

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Tigerlab-ai/tiger is an open-source project focused on enhancing the reliability and safety of large language model-based applications through tools like TigerArmor (aimed at AI safety), TigerRAG (for embedding and RAG functionalities), and TigerTune (fine-tuning capabilities).

Capability facts

Languages: jupyter notebook
Source: github.language · Sep 19, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 19, 2026)

- Install all Python requirements

Source link

README

💿 Installation Step 1 . Clone the repo Step 2 . Install TigerRAG Install all Python requirements Demo: Step 3 . Install TigerTune Install all Python requirements Demo: CUDA GPU is needed to run generation example.py. If you don't have a CUDA GPU connected, you can leverage our n...

For agents

This page has a .md twin and JSON over the API.

/tools/tigerlab-ai-tiger.md GET /api/graphcanon/tools/tigerlab-ai-tiger GET /api/graphcanon/graph?tool=tigerlab-ai-tiger