We kept: - sqlalchemy + psycopg: Postgres queries - dateutil: cron spec parsing - pyyaml: config parsing - typer-slim: CLI tooling - websockets: monitoring/UI Tracing is optional via dbos[otel]. Fewer moving parts means easier to trust and operate.

Several people (thanks to @mitsuhiko.at and @sa.muelcolvin.com) noted early on that DBOS had too many dependencies. In the latest Python release, we trimmed it down to just 6 direct deps while still implementing durable workflows and queues in one library. It's lightweight (for real).

We also are excited to demo Dosu with one of our favorite tools we use to build and run Dosu: @dbos.dev Join us and the legendary Michael Stonebraker (creator of Postgres) for a Dosu x DBOS Demo tomorrow at 11am PT during the monthly DBOS, Inc. User Group. Links below 👇 Keep on documenting

Who’s showing up to September’s user group? Get a first look at DBOS Go and hear how Devin Stein, founder of Dosu, scaled to 20K workflows/hour after migrating from Celery to DBOS. Don’t sleep on this one. 🗓️ Thu, Sep 25 | 11 AM PDT 📍 RSVP: luma.com/c3hsxk3f

We’re excited to announce that DBOS Golang is officially in beta! 🎉 What makes DBOS unique is that workflows are implemented entirely in a lightweight, Postgres-backed Go package. No extra services required. Check it out on GitHub, try it out, and give us a star ⭐: github.com/dbos-inc/dbo...

I recorded my #p99conf talk yesterday, and my speaker swag box just arrived too! Super sweet and thoughtful gift. I already deployed stickers on my laptop :) Huge thanks to the organizers @scylladb.com @cynthiadunlop.bsky.social for a smooth recording. Can't wait for the conference!

Versioning in DBOS Cloud makes deployments clear and reliable, here’s how Yutori is using it: ✅ Every new release spins up its own VM ✅ Logs are tagged by version, so you know which release produced them ✅ Full observability across versions without losing context

I was drained today from a weird migraine - headache, fatigue, the whole thing. Then I joined a meeting and started talking about @dbos.dev and instantly felt better. I'm grateful and proud of what we're building. Happy weekend!

The South Bay Systems talk series is back on Oct 2nd. @codedrift.social will talk about the history and novel use cases of WebAssembly. Perfect timing too: Wasm 3.0 just released, and it is turning 10 this year. Huge thanks to @yugabytedb.bsky.social for hosting! Register here: luma.com/p3mibf27

Something you don't see every day: Postgres creator (and our CTO) Mike Stonebraker signed up for the DBOS user group next week. This time, Dosu will show how they use DBOS for document ingestion and agentic Q&A. Always inspiring to see what people are building! Come hang out with us (and Mike).

Looking forward to it!

Guess who’s coming to September’s Reliable RAG and Agentic AI user group? The creator of Postgres. Mike Stonebraker himself. 📍Join Us: luma.com/c3hsxk3f 🗓️ Thu, Sep 25 | 11 AM PDT

At some point I might write a blog post on "How to add DBOS to any AI framework". AI agents are basically loops, and DBOS makes loops durable with a few decorators. Last week, I showed DBOS + Pydantic AI. Today, I implemented DBOS + CrewAI within a few hours. PR: github.com/crewAIInc/cr...

We had our first job posting from a customer on our Discord! And yes, I immediately told them to cross-post in @eatonphil.bsky.social Software Internals channel too. Awesome to see teams hiring specifically to expand their DBOS use cases. Join our community here: discord.gg/kgJeE7S2rA

It's an insightful conversation between Alex and Yunfan. Highly recommend checking it out if you're building or scaling production-grade multi-agent applications. Watch the full episode here: www.youtube.com/watch?v=CqSm...

When Yutori was scaling their multi-agent framework, they faced a choice: rewrite everything, or find a simpler path. DBOS made that decision easy. Instead of heavy rewrites, Yutori just added decorators. Instead of new infrastructure, they kept Postgres.

www.kai-waehner.de/blog/2025/06... Managing app workflows can be helpful in cases where tight control is needed. Durable execution environments like Temporal, @dbos.dev, and others help in these cases. The idea being state of execution is backed by a database and can be resumed on failures.(1️⃣/2️⃣) 🧵

Join us for the next User Group where we’ll share progress on DBOS Go and feature a customer demo from Dosu. Learn how Dosu scaled to 20K workflows/hour by migrating from Celery to DBOS. 🗓️ Thu, Sep 25 | 11 AM PDT luma.com/c3hsxk3f

Did you know Dosu turns codebases into living knowledge bases so every team member can ship faster? It integrates into existing workflows, surfacing knowledge whenever it’s needed. We’re proud to power their backend reliability with DBOS.

Durable Agents in Pydantic AI – now with DBOS support! @pydantic.dev 🤝 DBOS Run agents that: - Survive restarts, failures, and deploys - Handle long-running async + human-in-the-loop tasks - Autosave progress with SQLite/Postgres Production-grade resilience in just a few lines of code.

Check out our latest blog post! @jedberg.bsky.social shared his experience running queue services at Reddit, and reminded us why durable queues matter. "If the queue itself went down... we could just lose votes, or comments, or submissions." 🔗 www.dbos.dev/blog/durable...

Just merged the DBOS Agent PR into Pydantic AI! Huge thanks to the @pydantic.dev team for the detailed reviews and guidance throughout. Somewhere along the way, I came up with the word "DBOSify". More details coming soon!

Reliable software starts with durability. @qianli.dev's research at Stanford revealed how to give code the same guarantees as databases.

The intro video for my talk at #p99conf 💙

As @jedberg.bsky.social put it on Last Week in AWS with @quinnypig.com, moving data reliably in agentic workloads for AI training and inference is tough. DBOS makes it simple.

Nothing makes me happier than seeing our customers win. If you spend time on GitHub, you've probably spotted the Dosu bot all over, including in some of the most popular AI frameworks. Now it's even more reliable: their ingestion and RAG pipelines run on @dbos.dev Blog: dosu.dev/blog/migrate...

This isn’t another AI webinar. It’s the blueprint for workflows that don’t quit. Join DBOS & Bauplan to learn how to build autonomous and resilient AI workflows. luma.com/3hq1igvz

Took me almost an hour to record a 30-second intro for #p99conf Carefully tuned DSLR, mic, lighting, laptop, chair, background... had to align all the stars. I hope the final cut looks good!

Now we have "Star Wars" across our four languages: DBOS TypeScript, Python, Go, and Java. Help us settle the galaxy balance by dropping your stars here: github.com/dbos-inc

Psst! We flipped the @dbos.dev Transact for Java repo public in advance of tomorrow's monthly meetup. Github Repo: github.com/dbos-inc/dbo... Meetup Event Page: luma.com/8rqv5o5z

DBOS now has its own subreddit! Come hang out, share ideas, ask questions, and help us shape the future of durable workflows and queues. Fun fact: our CEO @jedberg.bsky.social (aka jedberg) was the first employee at Reddit, and now he's our mod. Full circle moment. 🔗 www.reddit.com/r/dbos/

External orchestrators force you to rebuild your app just to add one durable workflow. An embedded library lets you add durability where you need it, without tearing your architecture apart.

This looks fun!

The highlight of every user group is hearing directly from our users. Join us to see how doohickey.ai uses @dbos.dev to automate AI-powered ERP integrations. Thursday, August 28 @ 11AM PT Zoom (no recording — so don’t miss it!) lu.ma/8rqv5o5z

Packed calendar this week with many valuable discussions. Between meetings, I put together a Pydantic AI + DBOS integration to make it easier to build durable agents that checkpoint state and recover from failures. PR here: github.com/pydantic/pyd... Docs still to come. Feedback is very welcome!

☕️ Friends in the Bay Area: August coffee chat time! We're hosting the @southbaysystems.xyz August Coffee Chat next week. Come hang out with other systems folks for some casual conversations. 🗓 Thursday, August 28, 5–6 pm 📍 Courtyard outside Philz Sunnyvale 🔗 lu.ma/97e10ef4 Hope to see you there!

A new episode of SE Radio is live! I had a great time chatting with host Kanchan Shringi about what it takes to build durable, observable, and scalable systems, and why that matters for modern applications. Happy to hear thoughts and feedback! se-radio.net/2025/08/se-r...

Did you know you can use AI to build durable, crash-proof Python applications that automate workflows? Just drop the code block into your AI-powered IDE or paste it into ChatGPT, Claude, Anthropic, or your platform of choice.

I'm truly grateful to be included in this year's Silicon Valley Business Journal 40 Under 40. It's an honor to be recognized alongside so many inspiring leaders and innovators. Big thanks to my amazing team for the support and for nominating me!

Congrats @qianli.dev on being selected as Silicon Valley Business Journal 40 Under 40 honoree 🥂

Seattle friends - in case you missed it: lu.ma/umtmqb38 The Seattle Systems group is hosting their very first meetup! @marcbrooker.bsky.social will be presenting Aurora DSQL. Excited to see more systems groups popping up (thanks @eatonphil.bsky.social). My colleague @devhawk.net is co-organizing.

FOMO is real, so I did drive up to SF for the SF Systems meetup last night. Totally worth it - fun talks and great conversations! Thanks @shadaj.me @chris.wensel.net and the team for organizing it.

What if you didn’t have to manage servers to schedule tasks anymore? Meet DBOS Scheduled Workflows, think cron jobs but for the cloud, and with exactly-once execution. 🧵

LLM streaming is already common, but I like this newly released durable streams feature. In DBOS, streams are append-only, durable records tied to a workflow. If a process crashes, the full history is persisted in the database, making it easy to restore context and resume from where it left off.

Are you ready to build AI workflows that are both autonomous and resilient? Join DBOS and Bauplan for an webcast where we’ll explore how to build AI workflows that are not only intelligent but also resilient, scalable, and optimized for real-world performance. 🧵

Great way to start the weekend. Find us sitting on the front page of Hacker News on a Friday afternoon.

Andy's talk was so fun that I didn't notice an hour flew by. Thanks Tejpal for a great shot of the back of my @dbos.dev T-shirt! Got asked a lot what DBOS stands for, so I just turned around and showed them: Durable Backends, Observable & Simple.

We had our biggest @southbaysystems.xyz meetup yet last night! Thanks to everyone who came, and thanks to Databricks for hosting! @andypavlo.bsky.social discussed the 50-year history of database tuning, applying AI/ML to the problem, and the future of auto-tuning (agentic reasoning, of course).

If your durable execution solution makes you rebuild your stack, it’s not a solution.

Community contributions are the best! I want to share this awesome DBOS Hono starter template created by our user: github.com/runablehq/db... It shows how to add durable workflows, retries, and background tasks to your stack just using Postgres + TypeScript. No app refactoring needed.