Tigris Blog

Tigris now ships as a plugin for Claude Code, Cursor, and other AI coding agents. Five skills, a storage subagent, and security rules give your agent full Tigris fluency out of the box.

Today we're announcing CougarLLM, a globally distributed inference server that brings zero-egress inference to any open-weight model.

Pixeltable turns your database into a reactive data layer -- embeddings compute automatically on insert. Pair it with Tigris for globally distributed ML apps.

Parseable unifies agent, LLM, and infrastructure observability in a data lake on globally distributed Tigris object storage, with 80-90% Parquet compression.

Agentuity built custom cloud infrastructure for agentic workloads. Tigris powers five storage layers, from agent filesystems to sandbox snapshots.

Discover Tigris' Agent Skills Library - reusable skills that help AI agents automate image optimization, conventional commits, and Tigris SDK operations.

Prevent rogue agent behavior by giving every agent an instant, isolated bucket fork—no data duplication, safe concurrency, and easy rollback with snapshots.

Learn how we create AI-generated illustrations featuring Ty the tiger for our blog posts, including the creative process and the open-source Tygen app built with Go, HTMX, and OpenAI API.

We compared Flux Kontext, Nano Banana and Image GPT models. Find out which one is the best for your use case.

Discover how to efficiently train large-scale ML models using LanceDB and Tigris. This guide details streaming massive datasets directly from object storage to PyTorch, simplifying distributed training and eliminating infrastructure complexities for scalable AI.

Learn how to build a text-to-video generation app using Google's Veo3 model and Tigris object storage to create high-quality video content from text prompts.

Discover why OpenAI's gpt-oss model family is ideal for building reliable and safe AI agents, not just for developers.