Engineering blog

Kefka is a userspace shell sandbox in Go that gives every AI agent its own copy-on-write Tigris bucket fork plus Python, jq, and ripgrep via WebAssembly.

We embedded agent-shell on the Tigris homepage so you can ls, cat, and cd through your buckets like a normal filesystem. Here's how it works.

How Basic Memory uses per-tenant Tigris buckets, rclone bisync, and bucket snapshots to give every user a portable Markdown knowledge base.

A self-updating knowledge base on Tigris, maintained overnight by an Anthropic SDK agent loop running through @tigrisdata/agent-shell. Atomic flush on success, discard on throw. The bucket either lands a clean run or stays byte-for-byte unchanged. ~$7 a month, presigned digest URL in Slack each morn…

S2 Lite turns S3-compatible object storage into a durable streaming platform. Run it on Tigris for high-cardinality workloads — per-agent reasoning traces, event firehoses — with zero egress fees and global replication.

Meet @tigrisdata/agent-shell: a virtual bash environment that gives AI agents persistent storage on Tigris buckets, with forks and snapshots for safety.

A new TypeScript SDK giving AI agents the storage primitives they need: forks, workspaces, checkpoints, and event-driven coordination on Tigris.

Use Tigris object notifications to coordinate AI agents without deploying a message queue. A writer/watcher pattern turns your bucket into an event bus.

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.

How AI is transforming software development from autocomplete to autonomous agents, and what this means for the future of coding.

Alibaba's new open-weights Qwen Image model shows promise in text rendering but struggles with making the text appear natural. Sometimes it just looks like it was photoshopped in because that's how they assembled the training data.

Let your datasets roam freely between the multicloud with Tigris! Today you'll learn how to import your datasets into Tigris in a snap.

We built a tool to upload a file to a bucket and then create a sharable URL. Sounds so easy an AI could do it, but can it? Models struggle to break down multi-step tasks, so we design higher order tools for them.

AI tools can make coding easier, but they can also introduce subtle errors that can turn out really bad if you're not careful.

Want to do vibe coding with Tigris? We released a MCP server so you can make it happen. 😎

Caught the talk at SCaLE but want to learn more? Here's a list of resources that were mentioned during the talk.

Your AI workflows rely on models that other people post on the Internet. How can you be sure that they'll stay up? Today Xe covers the history of the infamous left-pad incident of 2016 and how it could happen again with AI.

DeepSeek R1 is a frontier-grade reasoning model that you can run on your own hardware. In this article, Xe digs through the papers and slices past the hype to explain what DeepSeek R1 really gives users and how the model is revolutionary for what it is.

Learn how Beam offers serverless GPUs optimized for developer productivity, across many clouds. By moving object storage to a separate managed service, Beam no longer needed to worry about it as another variable when designing for consistency across clouds.

Training AI models on Big Data can be challenging due to the need for flexible storage and compute. Tigris, a cloud-agnostic storage layer, enables decoupling of storage from compute, making it easier to manage data and model weights across clouds. Tools like SkyPilot that abstract cloud providers a…

Tigris lets you store your objects around the world so that you beat the speed of light getting your data to your users faster. Sometimes those include Docker images so that you can spin up more GPU time without having to download or manage your models separately. Join on in and learn how you can be…

Learn how fal.ai offers the fastest generative ai in the world by using Tigris for object storage. Finding a storage solution built for an extremely performant global deployment was essential to keeping fal.ai accessible to a broad range of developers. Tigris not only was just crazy fast, it saved…

Tigris offers pretty great object storage, but the S3 API has its limits. Here I show how you can use JuiceFS to turn your bottomless Tigris storage into a FUSE mounted filesystem where we persist model data for more efficiently running production-scale Ollama on Fly.io

Tigris is a globally distributed S3-compatible object storage solution available that is nativeliy integrated with Fly.io. In this article, we'll explore creating AI-generated images using the Stability API and storing them in a Tigris bucket for easy and fast retrieval.